ResearchMicro1
Role Title: Equity research Expert
Role Type: Contractor
Location: Remote
micro1 is engaging Equity research Experts to contribute to a customer's project focused on advanced financial analysis, modeling, and sector insights. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Review, assess, and contribute to datasets modeling real-world equity research analysis, ensuring accuracy and relevance.
- Analyze earnings reports, perform estimate revisions, and synthesize peer benchmarking insights for AI training purposes.
- Deliver detailed written evaluations of company models, including revenue, margin, cash flow, and valuation drivers.
- Produce high-quality, concise written research summaries and event-driven updates based on deep sector expertise.
- Develop and articulate investment theses, connecting qualitative and quantitative factors to actionable perspectives.
- Identify key industry trends, sector-specific metrics, and company catalysts relevant for fundamental analysis.
- Collaborate with project stakeholders to provide feedback on data quality and enhance research-related content.
Preferred Qualifications
- Extensive experience as a sell-side Research Associate with direct ownership of company models and written research, or as a publishing/lead Research Analyst (titles may include VP or Director).
- Track record of independently covering multiple companies through several earnings cycles and maintaining comprehensive models.
- Proven ability to connect business drivers to financial outcomes and valuation.
- Demonstrated expertise in at least one sector (e.g., banks, insurance, biotech), with the ability to provide deep, specialist insights.
- Exceptional written and verbal communication skills, capable of articulating complex financial concepts clearly.
- History of performing granular earnings analysis, peer benchmarking, valuation, and event-driven research updates.
- Experience formulating and defending investment theses and research views, with accountability for research accuracy and quality.
Contractor· Remote
Status: Open
ResearchMicro1
Role Title: Data Scientist
Role Type: Contractor
Location: Remote
About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.
Scope of Work
- Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
- Create expert-level prompts, datasets, and reference solutions
- Identify flawed methodology, statistical errors, and weak quantitative reasoning
- Provide structured feedback that improves model capability
Preferred Qualifications
- At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
- Based in an English-speaking country
- Clear written communication of technical and statistical concepts
Contractor· Remote
Status: Open
ResearchMicro1
Role Title: Bilingual Indonesian Psychologist (PhD)
Role Type: Contractor
Location: Remote
micro1 is engaging Bilingual Indonesian Psychologist (PhD)s to contribute expertise to an innovative customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Analyze and assess psychological case studies and documentation, providing nuanced feedback and insights based on professional experience.
- Develop culturally sensitive psychological scenarios and materials in both Indonesian and English for data enrichment and model training purposes.
- Evaluate AI-generated content for accuracy, ethical considerations, and alignment with psychological best practices.
- Collaborate with interdisciplinary teams to share perspectives and ensure holistic, effective solutions for diverse user needs.
- Document evaluation processes and findings clearly and systematically, supporting transparency and reproducibility.
- Apply bilingual communication to interpret and refine psychological assessments, ensuring fidelity across languages and cultural contexts.
Preferred Qualifications
- PhD in Psychology with demonstrated experience in both clinical and academic settings.
- Native or near-native fluency in Indonesian and English, with proven ability to navigate complex psychological terminology in both languages.
- Strong analytical and critical thinking skills with a track record of ethical decision-making.
- Experience developing or evaluating case studies and psychological assessments.
- Exceptional written and verbal communication skills, especially in translating nuanced psychological concepts between Indonesian and English.
- Familiarity with digital tools for remote collaboration and effective documentation.
- Demonstrated cultural sensitivity and adaptability in multicultural environments.
Contractor· Remote
Status: Open
ResearchMicro1
Role Title: Bilingual Japanese Psychologist (PhD)
Role Type: Contractor
Location: Remote
micro1 is engaging Bilingual Japanese Psychologist (PhD)s to contribute expertise to an innovative customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Analyze and assess psychological case studies and documentation, providing nuanced feedback and insights based on professional experience.
- Develop culturally sensitive psychological scenarios and materials in both Japanese and English for data enrichment and model training purposes.
- Evaluate AI-generated content for accuracy, ethical considerations, and alignment with psychological best practices.
- Collaborate with interdisciplinary teams to share perspectives and ensure holistic, effective solutions for diverse user needs.
- Document evaluation processes and findings clearly and systematically, supporting transparency and reproducibility.
- Apply bilingual communication to interpret and refine psychological assessments, ensuring fidelity across languages and cultural contexts.
Preferred Qualifications
- PhD in Psychology with demonstrated experience in both clinical and academic settings.
- Native or near-native fluency in Japanese and English, with proven ability to navigate complex psychological terminology in both languages.
- Strong analytical and critical thinking skills with a track record of ethical decision-making.
- Experience developing or evaluating case studies and psychological assessments.
- Exceptional written and verbal communication skills, especially in translating nuanced psychological concepts between Japanese and English.
- Familiarity with digital tools for remote collaboration and effective documentation.
- Demonstrated cultural sensitivity and adaptability in multicultural environments.
Contractor· Remote
Status: Open
ResearchMicro1
Role Title: Bilingual Malay Psychologist (PhD)
Role Type: Contractor
Location: Remote
micro1 is engaging Bilingual Malay Psychologist (PhD)s to contribute expertise to an innovative customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Analyze and assess psychological case studies and documentation, providing nuanced feedback and insights based on professional experience.
- Develop culturally sensitive psychological scenarios and materials in both Malay and English for data enrichment and model training purposes.
- Evaluate AI-generated content for accuracy, ethical considerations, and alignment with psychological best practices.
- Collaborate with interdisciplinary teams to share perspectives and ensure holistic, effective solutions for diverse user needs.
- Document evaluation processes and findings clearly and systematically, supporting transparency and reproducibility.
- Apply bilingual communication to interpret and refine psychological assessments, ensuring fidelity across languages and cultural contexts.
Preferred Qualifications
- PhD in Psychology with demonstrated experience in both clinical and academic settings.
- Native or near-native fluency in Malay and English, with proven ability to navigate complex psychological terminology in both languages.
- Strong analytical and critical thinking skills with a track record of ethical decision-making.
- Experience developing or evaluating case studies and psychological assessments.
- Exceptional written and verbal communication skills, especially in translating nuanced psychological concepts between Malay and English.
- Familiarity with digital tools for remote collaboration and effective documentation.
- Demonstrated cultural sensitivity and adaptability in multicultural environments.
Contractor· Remote
Status: Open
ResearchMicro1
Role Title: Developmental Psychology (PhD)
Role Type: Contractor
Location: Remote
micro1 is engaging Psychologists to contribute their expertise to a customer's project at the intersection of psychology and technology. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is especially suited for contributors who have a background in research or academic work related to child development or developmental psychology, with or without direct clinical experience.
Scope of Work
- Evaluate, review, and annotate data sets relevant to child development and developmental psychology for AI system training.
- Provide detailed insights and feedback on the accuracy, cultural appropriateness, and developmental relevance of data and model outputs.
- Contribute expert analysis to scenario development, test cases, and real-world situations involving children’s learning and behavior.
- Collaborate with interdisciplinary teams to inform model improvements and ensure psychological integrity in AI interactions.
- Create or refine guidelines for AI systems to better address linguistic, cognitive, and psychosocial aspects of child development across diverse backgrounds.
- Document findings and recommendations with clarity and depth to support ongoing AI research and development.
Preferred Qualifications
- Doctorate (PhD) in Child Development, Developmental Psychology, or closely related field.
- Demonstrated involvement in technology-driven, digital, or AI-focused projects relevant to child development is highly desirable.
- Comfortable working remotely on digital platforms, delivering contributions independently while engaging with a distributed team.
- We are prioritizing applicants with proficiency in one or more of these languages: Japanese, French, Tagalog, Malay, Lithuanian, Russian, Georgian, Polish, Marathi, Bengali, Urdu, Vietnamese, Swahili, Mandarin, Cantonese, Indonesian, Turkish, Gujarati, Bulgarian.
Contractor· Remote
Status: Open
ResearchMicro1
Role Title: Georgian Speaking Psychologist (PhD)
Role Type: Contractor
Location: Remote
micro1 is engaging Bilingual Georgian Psychologist (PhD)s to contribute expertise to an innovative customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Analyze and assess psychological case studies and documentation, providing nuanced feedback and insights based on professional experience.
- Develop culturally sensitive psychological scenarios and materials in both Georgian and English for data enrichment and model training purposes.
- Evaluate AI-generated content for accuracy, ethical considerations, and alignment with psychological best practices.
- Collaborate with interdisciplinary teams to share perspectives and ensure holistic, effective solutions for diverse user needs.
- Document evaluation processes and findings clearly and systematically, supporting transparency and reproducibility.
- Apply bilingual communication to interpret and refine psychological assessments, ensuring fidelity across languages and cultural contexts.
Preferred Qualifications
- PhD in Psychology with demonstrated experience in both clinical and academic settings.
- Native or near-native fluency in Georgian and English, with proven ability to navigate complex psychological terminology in both languages.
- Strong analytical and critical thinking skills with a track record of ethical decision-making.
- Experience developing or evaluating case studies and psychological assessments.
- Exceptional written and verbal communication skills, especially in translating nuanced psychological concepts between Georgian and English.
- Familiarity with digital tools for remote collaboration and effective documentation.
- Demonstrated cultural sensitivity and adaptability in multicultural environments.
Contractor· Remote
Status: Open
ResearchMicro1
Role Title: Lithuanian Speaking Psychologist (PhD)
Role Type: Contractor
Location: Remote
micro1 is engaging Bilingual Lithuanian Psychologist (PhD)s to contribute expertise to an innovative customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Analyze and assess psychological case studies and documentation, providing nuanced feedback and insights based on professional experience.
- Develop culturally sensitive psychological scenarios and materials in both Lithuanian and English for data enrichment and model training purposes.
- Evaluate AI-generated content for accuracy, ethical considerations, and alignment with psychological best practices.
- Collaborate with interdisciplinary teams to share perspectives and ensure holistic, effective solutions for diverse user needs.
- Document evaluation processes and findings clearly and systematically, supporting transparency and reproducibility.
- Apply bilingual communication to interpret and refine psychological assessments, ensuring fidelity across languages and cultural contexts.
Preferred Qualifications
- PhD in Psychology with demonstrated experience in both clinical and academic settings.
- Native or near-native fluency in Lithuanian and English, with proven ability to navigate complex psychological terminology in both languages.
- Strong analytical and critical thinking skills with a track record of ethical decision-making.
- Experience developing or evaluating case studies and psychological assessments.
- Exceptional written and verbal communication skills, especially in translating nuanced psychological concepts between Lithuanian and English.
- Familiarity with digital tools for remote collaboration and effective documentation.
- Demonstrated cultural sensitivity and adaptability in multicultural environments.
Contractor· Remote
Status: Open
ResearchMicro1
Role Title: Physics Expert (PhD / Postdoc)
Role Type: Contractor
Location: Remote (Worldwide)
Schedule: 10-15+ hours a week, Fully Flexible (Can accommodate working after hours/weekends)
micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems.
Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
- Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
- Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
- Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
- Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
- Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
- Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.
Preferred Qualifications
- PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
- Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
- 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
- Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
- Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
- Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
- Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).
Contractor· Remote (Worldwide)
Status: Open
ResearchMicro1
Role Title: Physics Expert PhD (AMO / Optical Properties of Materials)
Role Type: Part-Time, Contractor
Location: Fully Remote, Open to candidates worlwide
Schedule: 5-10+ hrs/week. Fully flexible (Can accomodate after hours + weekends if needed)
micro1 is engaging Physics Experts (AMO / Optical Properties of Materials) to contribute their advanced knowledge to a specialized customer project focused on atomic and optical properties. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Provide expert insights on atomic, molecular, and optical (AMO) physics, with an emphasis on the optical properties of materials.
- Review, analyze, and discuss ab initio configuration interaction methods for calculating polarizability in atomic systems.
- Offer guidance and critique on atomic-structure calculations, specifically for Yb-171 and Yb-174 isotopes.
- Identify and differentiate between sigma and pi transitions in relevant atomic spectra, explaining underlying physical principles.
- Participate in adaptive, spoken AI interviews, responding to one question at a time and providing clear, concrete examples from legally shareable research or projects.
Preferred Qualifications
- Advanced degree (Ms,PhD or equivalent experience) in Physics, with a focus on AMO physics or optical properties of materials.
- Proven experience with ab initio quantum chemistry calculations, specifically configuration interaction approaches to polarizability.
- Deep understanding of atomic-structure computation techniques, particularly as applied to ytterbium isotopes (Yb-171 and Yb-174).
- Strong capability to identify and explain sigma vs pi transitions in atomic contexts.
- Demonstrated aptitude for clear, structured written and verbal scientific communication.
Part-time· Fully Remote, Open to candidates worlwide
Status: Open
ResearchMicro1
Role Title: Physics Expert PhD (Statistical Physics / Quantum Information / Condensed Matter)
Role Type: Part-Time, Contractor
Location: Fully Remote, Open to candidates worlwide
Schedule: 5-10+ hrs/week. Fully flexible (Can accomodate after hours + weekends if needed)
micro1 is engaging Physics Experts (Statistical Physics / Quantum Information / Condensed Matter) to contribute to a research-driven customer project at the intersection of theoretical physics and numerical benchmarking.
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Analyze and provide expert insights into complex statistical physics phenomena, with a focus on replicated random-bond Ising/Ashkin-Teller models, the toric-code threshold, and the Nishimori line.
- Deliver clear, well-documented solutions or critiques of problems relating to Kramers-Wannier duality, quenched disorder averaging, square-lattice self-duality, and domain-wall free energy.
- Engage in advanced numerical work, particularly around 4-state Potts model simulations and interpretation.
- Identify, discuss, and resolve technical challenges involving noncontractible loop defects and related topological features.
- Participate as a Solver, Auditor, or Adjudicator on specific project assignments based on your experience and subfield strengths.
Preferred Qualifications
- Advanced academic background (PhD or equivalent experience) in physics, with specialization in statistical physics, quantum information, or condensed matter theory.
- Direct, hands-on experience applying Kramers-Wannier duality, quenched disorder averaging, and square-lattice self-duality in research or project settings.
- Demonstrated proficiency in numerical simulations involving the 4-state Potts model and analysis of domain-wall free energy.
- Familiarity with topological quantum codes, particularly the toric code and its threshold phenomena.
Part-time· Fully Remote, Open to candidates worlwide
Status: Open
ResearchMicro1
Role Title: Tagalog Speaking Psychologist (PhD)
Role Type: Contractor
Location: Remote
micro1 is engaging Bilingual Tagalog Psychologist (PhD)s to contribute expertise to an innovative customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Analyze and assess psychological case studies and documentation, providing nuanced feedback and insights based on professional experience.
- Develop culturally sensitive psychological scenarios and materials in both Tagalog and English for data enrichment and model training purposes.
- Evaluate AI-generated content for accuracy, ethical considerations, and alignment with psychological best practices.
- Collaborate with interdisciplinary teams to share perspectives and ensure holistic, effective solutions for diverse user needs.
- Document evaluation processes and findings clearly and systematically, supporting transparency and reproducibility.
- Apply bilingual communication to interpret and refine psychological assessments, ensuring fidelity across languages and cultural contexts.
Preferred Qualifications
- PhD in Psychology with demonstrated experience in both clinical and academic settings.
- Native or near-native fluency in Tagalog and English, with proven ability to navigate complex psychological terminology in both languages.
- Strong analytical and critical thinking skills with a track record of ethical decision-making.
- Experience developing or evaluating case studies and psychological assessments.
- Exceptional written and verbal communication skills, especially in translating nuanced psychological concepts between Tagalog and English.
- Familiarity with digital tools for remote collaboration and effective documentation.
- Demonstrated cultural sensitivity and adaptability in multicultural environments.
Contractor· Remote
Status: Open
ResearchMicro1
Role Title: Physics Expert (Professor / Principal Investigator)
Role Type: Contractor.
Location: Remote
micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
- Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
- Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
- Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
- Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
- Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
- Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.
Preferred Qualifications
- PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
- Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
- Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
- 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
- Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
- Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
- Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.
Contractor· Remote
Status: Open
ResearchMicro1
Role Title: Physics Expert (Postdoc / Junior professor)
Role Type: Contractor
Location: Remote (US, Canada, UK focused)
micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
- Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
- Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
- Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
- Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
- Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
- Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.
Preferred Qualifications
- PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
- Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
- Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
- Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
- Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
- Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
- Reliable access to high-speed internet and a computer suitable for rigorous technical work.
Contractor· Remote (US, Canada, UK focused)
Status: Open
ResearchMicro1
Role Title: Electrical Engineering Professor
Role Type: Contractor.
Location: Remote
micro1 is engaging Electrical Engineering Professors to contribute expertise to a high-impact project advancing AI research and assessment technology. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Design and author graduate-level single-option (multiple-choice) exam questions within your area of electrical engineering specialization, ensuring rigor and authenticity.
- Develop detailed explanations and precise grading rubrics for each question, consistent with academic standards and best practices in assessment.
- Review and validate the technical accuracy and pedagogical strength of AI-generated content related to electrical engineering concepts.
- Collaborate asynchronously with other subject matter experts to refine question quality, ensuring clarity, relevance, and academic rigor.
- Evaluate AI model outputs, providing nuanced feedback that reflects your understanding of where models meet or diverge from human reasoning.
- Clearly communicate complex technical concepts in written form, as for exam solutions or instructional content.
- Contribute to a continually evolving, high-quality question bank that reflects advanced engineering reasoning.
Preferred Qualifications
- PhD or advanced Master's degree in Electrical Engineering with demonstrated teaching experience at the university level (professor, adjunct, lecturer, or TA).
- Experience authoring or reviewing graduate-level assessments, exams, or coursework in electrical engineering.
- Deep subject matter knowledge in one or more of: Analog Circuits, Digital Circuits, RF, Power Electronics, with emphasis on Integrated Circuits (IC).
- Expertise in rubric design, assessment development, or educational content creation.
- Exceptional written communication skills, with a strong emphasis on clarity and academic rigor.
- Demonstrated capacity to work independently, meet project milestones, and deliver high-quality contributions remotely.
- Comfort with asynchronous collaboration on remote research or content development projects.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Contractor· Remote
Status: Open
ResearchMicro1
Job Description Role Title: Materials Science Expert
Role Type: Contractor
Location: Remote
micro1 is selecting Materials Science Experts to contribute to a customer's project focused on advancing the capabilities of AI technologies in materials engineering. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required, your domain knowledge is what matters. This is an opportunity to impact the future of engineering by ensuring that AI systems can accurately interpret, solve, and explain complex materials challenges spanning selection, failure analysis, testing, and process development. Experts with a passion for precision, technical detail, and clear written and verbal communication will find this engagement both rewarding and influential.
Scope of Work
- Evaluate and solve advanced materials science and engineering problems spanning materials selection, failure analysis, testing, and process development.
- Review and assess AI-generated technical responses for technical correctness, accuracy, and engineering quality.
- Apply practical engineering judgment to real-world materials selection and failure scenarios and theoretical questions.
- Analyze and troubleshoot materials issues using industry-standard techniques such as microstructural analysis, fractography, mechanical testing (tensile, fatigue, hardness), and thermodynamic/kinetic modeling.
- Contribute domain expertise to inform model improvements and refine AI reasoning in materials science and engineering.
- Document feedback and provide clear written and verbal explanations to enhance AI learning and performance.
- Collaborate remotely with a distributed team of experts and project participants.
Preferred Qualifications
- Bachelor's degree and above in Materials Science & Engineering, Metallurgy, or ME/ChemE with a materials specialization.
- At least 3 years of hands-on experience in materials selection, failure analysis, testing, or process development.
- Expert knowledge of material classes (metals, polymers, ceramics, composites), microstructure-property relationships, and degradation/failure mechanisms.
- Proven ability to analyze root-cause failures using fractography, metallography, and mechanical/thermal test data.
- Familiarity with relevant standards bodies (ASTM, ASM, ISO materials standards) and process qualification requirements.
- Professional English proficiency with exceptional written and verbal communication skills.
- Experience with materials characterization equipment (SEM, XRD, TEM, DSC/TGA) or process development in a manufacturing environment is a plus.
- Strongly preferred — evidence of problem-authoring rigor, such as: service on an olympiad problem committee; a textbook problem-set or solutions-manual author credit; an item-writer role on an NCEES or academic qualifying-exam committee; service on an ASTM, ASM, or ISO materials standards committee; a top placement or team-lead role in the TMS Materials Bowl, ASM International undergraduate design competition, or an MRS student award; a best-paper award at TMS Annual Meeting, MS&T, or MRS, or a publication in Acta Materialia / Nature Materials; an Acta Materialia Silver Medal; or an early-career fellowship/grant (NSF CAREER, DOE Early Career, Sloan Fellowship) or TMS Young Leader / MRS Outstanding Young Investigator recognition.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Contractor· Remote
Status: Open
ResearchMicro1
Role Title: Mechanical Engineering Professor
Role Type: Contractor
Location: Remote
micro1 is engaging Mechanical Engineering Professors, adjuncts, and academic instructors to participate in a high-impact AI research project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Design and author rigorous single-option (multiple-choice) assessment questions in your specialization within mechanical engineering, calibrated for graduate or postgraduate complexity.
- Translate advanced concepts from Solid & Structural Mechanics, Dynamics & Vibration & Control, or Thermal-Fluids into challenging exam-quality content.
- Develop detailed explanations and rationales for answer choices, maintaining the clarity and precision expected in academic settings.
- Review and validate the technical accuracy and pedagogical quality of AI-generated mechanical engineering materials.
- Collaborate asynchronously with other subject matter experts and project coordinators to refine and improve content quality.
- Conduct quality checks, revisions, and enhancements on contributed materials based on feedback and project standards.
- Maintain thorough records of assignments and submissions using digital workflow tools provided for the engagement.
Preferred Qualifications
- PhD or MS in Mechanical Engineering, with current or previous university-level teaching experience (professor, adjunct, lecturer, or TA) in one or more core areas: Solid & Structural Mechanics, Dynamics & Vibration & Control, or Thermal-Fluids.
- Experience authoring, grading, or reviewing graduate-level exams, problem sets, or coursework.
- Demonstrated ability to convert complex mechanical engineering principles into clear, exam-ready written content.
- Background in assessment design, rubric development, or educational content creation.
- Exceptional written and verbal communication skills; adept at articulating intricate concepts concisely and accurately.
- Meticulous attention to detail and commitment to technical accuracy in all deliverables.
- Self-motivated, organized, and comfortable working independently in a remote, asynchronous project environment; familiarity with collaborative digital platforms is a plus.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Contractor· Remote
Status: Open
ResearchMicro1
Role Title: Bioinformatics Scientist
Role Type: Contractor
Location: Remote
micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
- Provide detailed scientific input and content to support the development and training of AI models.
- Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
- Evaluate and synthesize findings from biological, chemical, and clinical data sources.
- Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
- Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
- Deliver comprehensive written feedback and actionable recommendations for model improvement.
Preferred Qualifications
- Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
- In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
- Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
- Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
- Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
- Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
- Experience collaborating in multidisciplinary or remote project environments is advantageous.
Contractor· Remote
Status: Open
ResearchMicro1
Job Title: Director of Robotics Research
Job Type: Full-time
Location: Remote
The Role:
As Director of Robotics Research, you'll lead our Robotics Research team in developing the data foundations behind robot learning. You'll define how robotics data is collected, represented, evaluated, and scaled—helping build a Robotics Data Engine that enables increasingly capable robotic systems.
Working alongside AI researchers and engineers, you'll drive research at the intersection of robotics, perception, learning, and large-scale data. You'll also build and mentor a team of exceptional Robotics Researchers, setting the technical vision while remaining deeply involved in research and experimentation.
What You'll Do
- Define and execute the research strategy for robotics data, embodied AI, and robot learning.
- Lead research initiatives focused on robotics datasets, multimodal representations, perception, manipulation, and data-centric learning.
- Build, mentor, and grow a team of Robotics Researchers while fostering a culture of scientific rigor, curiosity, and rapid experimentation.
- Develop novel approaches for collecting robotics data through teleoperation, human demonstrations, simulation, autonomous exploration, and real-world deployments.
- Design scalable robotics data pipelines by defining collection workflows, task taxonomies, annotation schemas, quality control processes, evaluation methodologies, and final data delivery formats.
- Translate research and client objectives into scalable data pipeline specifications, defining data requirements, collection strategies, labeling standards, and success metrics.
- Partner with research, engineering, product, and operations teams to operationalize pipeline designs and deliver production-ready robotics data solutions.
- Establish scalable benchmarks and evaluation frameworks to measure and improve robot learning performance.
- Stay at the forefront of robotics research by evaluating emerging literature, datasets, and techniques from leading academic labs and industry.
- Drive technical excellence through clear documentation, knowledge sharing, and effective cross-functional communication.
What We're Looking For
- Significant experience in robotics research, embodied AI, robot learning, or robotics software engineering.
- Experience leading or mentoring high-performing technical or research teams.
- Deep understanding of robotics data pipelines, multimodal datasets, and data infrastructure for robot learning.
- Strong expertise in robot perception, manipulation, control, imitation learning, reinforcement learning, or foundation models for robotics.
- Experience designing and evaluating large-scale robotics datasets and data collection strategies.
- Ability to bridge research and engineering, translating cutting-edge ideas into scalable systems.
- Excellent written and verbal communication skills with experience collaborating across multidisciplinary teams.
- Passion for advancing embodied intelligence through innovative research and data-driven approaches.
Preferred Qualifications
- Master's or PhD in Robotics, Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.
- Publications at leading conferences such as CoRL, RSS, ICRA, IROS, NeurIPS, ICML, or CVPR.
- Experience building large-scale robotics datasets, data engines, or research infrastructure.
- Hands-on experience with robotics frameworks and simulation environments such as ROS, ROS2, Isaac Lab, Isaac Sim, MuJoCo, Habitat, or ManiSkill.
- Contributions to open-source robotics projects or significant research impacting embodied AI.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $250,000 –$350,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Disclaimer
The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.
Full-time· Remote
Status: Open
ResearchMicro1
Role Title: Statistics Expert (PhD)
Role Type: Contractor
Location: Remote
micro1 is engaging Statistics Experts (PhD) to contribute their advanced subject-matter expertise to a customer's AI training initiative. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Produce authoritative, accurate, and well-explained responses to advanced statistics queries aimed at improving AI model performance, emphasizing clarity and depth over score-based metrics.
- Review and evaluate statistics data, queries, and solutions to ensure accuracy, completeness, and alignment with current best practices.
- Develop comprehensive explanations and justifications across both foundational and specialized statistics concepts, tailored for a range of technical backgrounds.
- Collaborate with annotation leads and project managers to refine project requirements and maintain high standards for response quality.
- Create exemplary "golden responses" that serve as benchmarks for future AI model outputs, ensuring reliability and consistency in training datasets.
- Document the context and rationale behind answers to enhance model interpretability and facilitate future annotation efforts.
- Participate in remote discussions or workshops to clarify objectives and maintain alignment within the contributor community.
Preferred Qualifications
- PhD in Statistics or a closely related field with demonstrated expertise in both core and advanced statistical topics.
- Exceptional written and verbal communication skills, with proven ability to convey complex statistical concepts with precision.
- Experience creating, reviewing, or publishing scientific, technical, or educational materials in statistics (e.g., research articles, curricula, industry reports, peer reviews).
- Familiarity across various sub-disciplines of statistics, such as probability theory, statistical inference, Bayesian methods, biostatistics, experimental design, or computational statistics.
- Strong attention to analytical detail and a commitment to methodological rigor.
- Experience with MySQL and advanced data analysis techniques.
- Background in AI, data annotation, or digital content development projects is a plus, though not required.
- Demonstrated ability to collaborate effectively in remote and cross-functional project environments.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Contractor· Remote
Status: Open
ResearchMicro1
Job Title: VP of Robotics Research
Job Type: Full-time
Location: Remote
The Role
As VP of Robotics Research at micro1, you will define and lead our research agenda for Physical AI — intelligent systems that can understand, reason about, and act in the physical world.
Our research focuses on four connected areas:
- Physical Agents & Robotics — building agents that perceive, reason, plan, and act through robots, machines, instruments, and other physical systems.
- Learning & Data — studying how demonstrations, trajectories, sensor data, simulation, feedback, and autonomous experience improve physical-world intelligence.
- Evaluation & Generalization — developing rigorous methods to measure physical reasoning, manipulation, planning, robustness, safety, and transfer across tasks and environments.
- Physical-World R&D Automation — exploring how agents can accelerate scientific and engineering workflows through simulation, experimentation, design, fabrication, and real-world tools.
You will set research direction across these areas, stay close to models and physical systems, build a world-class research team, and partner with leading AI and robotics labs on their hardest Physical AI problems.
What You’ll Do
- Set the Physical AI research agenda. Identify the highest-leverage problems across robotics, embodied agents, learning, data, evaluation, and physical-world automation.
- Build agents that act in the physical world. Develop systems that connect foundation models and agents to robots, machines, instruments, and other physical interfaces.
- Advance general-purpose robot learning. Lead research across vision-language-action models, imitation learning, reinforcement learning, world models, and multimodal policies.
- Develop a science of physical-world data. Study which demonstrations, trajectories, sensor streams, environments, and supervision signals best improve learning and generalization.
- Build scalable data-generation systems. Develop methods for generating high-quality interaction data through human demonstration, teleoperation, autonomous rollout, simulation, and hybrid human–agent workflows.
- Advance evaluation and generalization. Build rigorous benchmarks for manipulation, spatial reasoning, planning, tool use, robustness, safety, and transfer across tasks and embodiments.
- Bridge simulation and reality. Study how simulated and real-world experience should be combined and where sim-to-real transfer breaks down.
- Advance physical-world R&D automation. Build agents that operate across scientific and engineering workflows, including simulation, experimentation, design, fabrication, and laboratory systems.
- Build research that compounds. Create reusable datasets, environments, simulators, hardware testbeds, evaluation infrastructure, and research tools.
- Build and lead the research team. Recruit and develop exceptional researchers and engineers, partner with leading labs, and publish consequential research.
What We’re Looking For
- Deep Physical AI expertise. Significant experience in robotics, embodied AI, robot learning, autonomous systems, or related fields.
- Strong learning and agentic systems intuition. Deep understanding of modern robot learning, multimodal models, imitation learning, reinforcement learning, world models, planning, and control.
- Physical systems intuition. Strong understanding of sensing, calibration, control, contact, actuation, latency, uncertainty, and hardware constraints.
- Exceptional research taste. You identify problems that can meaningfully expand what AI systems can do in the physical world.
- Experimental rigor. You turn open questions into strong hypotheses, controlled experiments, meaningful baselines, and evidence-backed conclusions.
- Strong evaluation judgment. You understand generalization, distribution shift, benchmark design, hardware-specific effects, and the failure modes of physical AI evaluations.
- Systems thinking. You reason across models, agents, data, hardware, simulation, tools, and evaluation as parts of a single system.
- Technical range. You are comfortable moving between model training, agent design, simulation, evaluation infrastructure, and physical experimentation.
- Research leadership. You have experience setting direction, mentoring exceptional technical talent, and leading ambitious research programs under uncertainty.
Preferred Qualifications
- Master’s or PhD in Robotics, Computer Science, AI, Machine Learning, Engineering, or a related field.
- Research experience at a leading AI, robotics, or embodied intelligence organization.
- Strong publication record at venues such as CoRL, RSS, ICRA, IROS, NeurIPS, ICML, or CVPR, or equivalent high-impact technical work.
- Experience with generalist robot policies, cross-embodiment learning, robot foundation models, or large-scale imitation and reinforcement learning.
- Hands-on experience with robotic platforms and frameworks such as ROS/ROS2, Isaac Lab, MuJoCo, ManiSkill, or equivalent systems.
- Experience building robotics benchmarks, simulation environments, teleoperation systems, safety evaluations, or physical-world data engines.
- Experience building agents for engineering, scientific, manufacturing, or laboratory workflows.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $250,000 –$350,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Full-time· Remote
Status: Open
ResearchSME Careers
In this hourly, remote contractor role, you will work as a Data Scientist Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across data science AI training projects. You will review AI-generated data science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected quality standards.
You will assess work for statistical accuracy, data reasoning, model-selection quality, code correctness, reproducibility, metric interpretation, business-context awareness, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your data science quality leadership will help ensure training data is analytically sound, reproducible, clearly explained, and aligned with client expectations.
Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.
Important:
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
Contractor· Remote — The United States
Status: Open
ResearchSME Careers
In this hourly, remote contractor role, you will work as a Legal Research Subject Matter Expert (SME) to review AI-generated legal research outputs and/or produce expert legal research content, evaluating reasoning quality and step-by-step issue analysis while providing precise written feedback. You will assess solutions for accuracy, clarity, completeness, and adherence to the prompt; identify errors in issue spotting, jurisdiction handling, authority selection, citation accuracy, and rule application; verify that legal statements are appropriately supported by primary authority (where required); write high-quality explanations and model research memos that demonstrate correct, risk-aware legal reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your legal expertise directly helps improve the world’s premier AI models by making their legal reasoning more accurate, reliable, and clearly explained.
Important:
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
Contractor· Remote — Germany, India, The United States
Status: Open
ResearchSME Careers
If you are an astronomer or space sciences expert who thrives on technical precision, quantitative reasoning, and physics-based problem solving, this is a unique opportunity to contribute directly to how the next generation of AI systems understand and communicate complex space science concepts. We are looking for specialists who can evaluate, challenge, and refine advanced language models on domain-specific topics. Your expertise will directly help improve the world’s premier AI models—and play an important role in shaping the future of AI. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs.
Important:
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
Contractor· Remote — Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, The Philippines, The United States, Timor Leste, Vietnam
Status: Open