AI TrainingMicro1
Role Title: Senior AI Trainer
Role Type: Contractor, Remote
Location: Northern America and Germany.
micro1 is engaging Senior AI Trainers to collaborate on a customer-driven project enhancing AI system quality through expert-level model training and evaluation. In this role, you'll apply your generalist expertise and hands-on experience with AI products to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Key Responsibilities:
- Evaluate the performance of AI chat and search tools under standardized, repeatable conditions.
- Apply detailed grading guidelines to accurately evaluate, rank, and annotate model responses, providing structured feedback that improves model performance.
- Write, refine, and stress-test prompts that probe model capabilities, ensuring coverage of diverse scenarios, edge cases, and user intents.
- Verify consistency and accuracy across evaluations, correcting discrepancies between ratings and the underlying rubric or guidelines.
- Utilize AI training tools and platforms to record findings and submit evaluation datasets in alignment with project standards and milestones.
- Collaborate with project trainers and contributors to resolve ambiguities, refine guidelines, and ensure evaluation consistency across the team.
- Participate in ongoing quality reviews, incorporating feedback to maintain rigorous training and annotation standards.
Required Skills and Qualifications:
- Exceptional attention to detail and accuracy in reviewing and evaluating AI-generated content.
- Strong written and verbal communication skills for effective collaboration, reporting, and timely updates on progress and challenges.
- Demonstrated time management and self-organization abilities for independent, remote project participation.
- Analytical and problem-solving mindset, with a proactive approach to resolving evaluation challenges.
Preferred Qualifications:
- Proven experience with AI model training, RLHF, data labeling, or similar data-centric evaluation projects.
- Familiarity with AI products and tools, including prompt engineering and understanding of model behaviors and limitations.
- Experience writing evaluation rubrics, grading model outputs, or reviewing AI responses for accuracy, helpfulness, and safety.
- Background in AI training, machine learning data preparation, or LLM-focused projects (strongly preferred).
Contractor· Remote — Northern America and Europe
Status: Open
AI TrainingMicro1
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.
You'll create realistic, interesting and challenging coding tasks for AI to solve involving feature implementation and bug fixes, and implement deterministic verifiers that accept reasonable valid solutions and reject everything else.
What we're looking for
Strong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similar
A track record building scalable services and APIs
Comfort with debugging, performance work and automated testing
Solid code review instincts
A strong testing background is a big plus
— experience designing test strategy, building and maintaining large test suites, diagnosing flaky tests, or raising the testing bar on a team.
Contractor· Remote
Status: Open
CodingMicro1
Job Title: TypeScript + Rust Developer
Job Type: Contractor
Location: Remote
Job Summary: 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.
Key Responsibilities:
- Collaborate with cross-functional teams to deliver robust solutions in TypeScript and Rust.
- Design, implement, and refactor complex systems, with a focus on codebase migrations or rewrites between language ecosystems.
- Create and curate high-quality human data for AI training and evaluation tasks.
- Follow best practices for software engineering, including code reviews, testing, and documentation.
- Communicate technical concepts clearly via written and verbal communication to both technical and non-technical stakeholders.
- Troubleshoot, debug, and optimize codebases in both TypeScript and Rust environments.
- Maintain 6+ hours of daily work overlap with the Eastern Time zone to ensure effective collaboration.
Required Skills and Qualifications:
- 5+ years of professional software development experience, with a proven track record of production-level work.
- Idiomatic fluency in TypeScript and Rust, demonstrated through hands-on experience.
- Strong background in codebase migrations, rewrites, or working within multiple language environments.
- Excellent written and verbal communication skills, with the ability to explain complex technical issues clearly.
- Experience producing or working with human-labeled data, ideally for AI or ML applications.
- Ability to work independently and as part of a remote, global team.
- Fluent English proficiency.
Preferred Qualifications:
- Previous experience on AI/ML data engineering or data labeling teams.
- Contributions to open-source TypeScript or Rust projects.
- Background in developing scalable cloud-native applications.
Contractor· Remote
Status: Open