Other

Enterprise Client Partner, Frontier AI

Status: Open

Micro1

Pay
$140,000–$180,000/yr
Location
Remote
Employment type
Full-time
Openings
1
Start
less-than-7-days
Posted
2026-07-21

About this opportunity

Job Title: Enterprise Client Partner, Frontier AI Job Type: Full-time Location: Remote The Role We work with leading AI labs and advanced enterprise teams building frontier models. Our focus is on evaluation systems, reinforcement learning (RL) environments, and high-quality human data pipelines that directly impact model performance. We’re hiring an Enterprise Client Partner to engage deeply with research, engineering, and procurement stakeholders, and to drive high-value partnerships around model evaluation and human data solutions. What You’ll Do - Source and close partnerships with AI labs and ML-driven organizations working on frontier models. - Lead technical discovery across evaluation workflows, RLHF pipelines, and model improvement loops. - Engage directly with research leads, ML engineers, and data teams to understand system-level constraints and requirements. - Translate ambiguous research and engineering needs into well-scoped human data and evaluation programs. - Structure and negotiate complex, high-value agreements involving data generation, annotation, and evaluation at scale. - Work cross-functionally with product, research, and operations to ensure delivery aligns with technical expectations. - Drive expansion through deeper integration into evaluation pipelines and RL environments. - Provide clear signal on pipeline quality, deal risk, and market dynamics. - Feed back insights from customers into evaluation frameworks, product direction, and go-to-market strategy. What We're Looking For - Ability to communicate fluently with ML engineers and research teams (you don’t need to be one, but you can hold your own). - Experience selling into AI/ML, developer tools, or deeply technical products. - Strong track record closing complex, multi-stakeholder deals with technical and commercial depth. - Familiarity with model evaluation, RLHF, or reinforcement learning environments. - Structured, hypothesis-driven approach to sales and problem solving. - High agency and comfort operating in ambiguous, fast-moving environments. Preferred - Experience with human data pipelines (labeling, evaluation, synthetic data, RLHF). - Exposure to frontier model development or benchmarking systems. - Prior work with AI labs, research orgs, or advanced ML teams. - Understanding of enterprise procurement in high-value technical deals. Compensation & Benefits Notice The national pay range for this full-time position is base salary of $140,000 –$180,000 USD. 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.

Required skills

  • Client Acquisition
  • Outbound Prospecting
  • Enterprise Parnerships
  • Enterprise AI

What you'll do

  • Source and close partnerships with AI labs and ML-driven organizations working on frontier models.
  • Lead technical discovery across evaluation workflows, RLHF pipelines, and model improvement loops.
  • Engage directly with research leads, ML engineers, and data teams to understand system-level constraints and requirements.
  • Translate ambiguous research and engineering needs into well-scoped human data and evaluation programs.
  • Structure and negotiate complex, high-value agreements involving data generation, annotation, and evaluation at scale.
  • Work cross-functionally with product, research, and operations to ensure delivery aligns with technical expectations.
  • Drive expansion through deeper integration into evaluation pipelines and RL environments.
  • Provide clear signal on pipeline quality, deal risk, and market dynamics.
  • Feed back insights from customers into evaluation frameworks, product direction, and go-to-market strategy.

Requirements

  • Ability to communicate fluently with ML engineers and research teams (you don’t need to be one, but you can hold your own).
  • Experience selling into AI/ML, developer tools, or deeply technical products.
  • Strong track record closing complex, multi-stakeholder deals with technical and commercial depth.
  • Familiarity with model evaluation, RLHF, or reinforcement learning environments.
  • Structured, hypothesis-driven approach to sales and problem solving.
  • High agency and comfort operating in ambiguous, fast-moving environments.

Preferred qualifications

  • Experience with human data pipelines (labeling, evaluation, synthetic data, RLHF).
  • Exposure to frontier model development or benchmarking systems.
  • Prior work with AI labs, research orgs, or advanced ML teams.
  • Understanding of enterprise procurement in high-value technical deals.

Compensation

The national pay range for this full-time position is base salary of $140,000 –$180,000 USD. 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.
AI TrainingMicro1

Senior AI Trainer

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

$14–$36/hr

Verified Oct 3, 2026

Apply → (opens in a new tab)
AI TrainingMicro1

Software Engineer

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

$30–$100/hr

Verified Oct 5, 2026

Apply → (opens in a new tab)
CodingMicro1

TypeScript + Rust Developer

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

$30–$100/hr

Verified Oct 3, 2026

Apply → (opens in a new tab)