AI Technical Lead

Role Summary

This is a remote, full-time technical leadership role focused on strengthening frontier AI models through careful evaluation, failure analysis, and repeated improvement cycles. The position centers on building machine-learning-focused data systems, turning complex real-world problems into structured testing frameworks, and partnering with researchers and subject-matter experts to lift model performance in sensitive areas such as finance, healthcare, and engineering.

The role has a direct influence on how AI systems learn, reason, and perform in high-stakes settings by connecting human expertise with advanced AI training workflows.

Key Responsibilities

• Lead research and evaluation work from start to finish, including problem definition, data planning, quality calibration, and validation of signals.
• Build ML-oriented data systems with clear task definitions, annotation structures, grading rubrics, incentive mechanisms, and pipelines designed to improve downstream model outcomes.
• Study model and system breakdowns to uncover root causes, unusual edge cases, and practical improvement opportunities.
• Convert unclear real-world behaviors into structured evaluation methods and newly defined data categories.
• Continuously refine evaluations, datasets, and feedback loops to raise the quality of model and system performance.

Required Skills and Qualifications

• Experience judging research signals for AI/ML systems, including evaluation design and validation of experimental outcomes.
• Strong background in ML data design, with the ability to create annotation schemas and rubrics that support training goals.
• Ability to connect operational insights with research needs and bridge domain expertise with technical implementation.
• Practical experience with reinforcement learning environments or similar ML evaluation setups.
• Experience designing and improving data pipelines that balance quality and speed in production environments.

Opportunity Details

This position offers the opportunity to contribute to advanced AI systems used by labs and enterprises to train foundational models and develop dependable AI agents. You will work with a strong data infrastructure that includes an AI recruiter agent, a high-performance data platform, and performance monitoring tools, enabling impact at scale across global expert networks.

Compensation

The payout for this role is between $600,000 and $2,000,000 per year.

Equal Opportunity

Hiring decisions are made on the basis of skills and expertise. Candidates are considered without regard to background, prior experience, or employment history, and review is based only on proven technical ability and qualifications.