AI Technical Lead (Remote)

About the role

This full‑time remote position focuses on advancing frontier AI models through rigorous evaluation, failure analysis, and iterative development. You will bridge real‑world problems with structured evaluation frameworks, driving measurable performance gains across high‑stakes domains such as finance, healthcare, and engineering.

Key responsibilities

• Own end‑to‑end research and evaluation initiatives, from problem framing to signal validation.
• Design machine‑learning‑oriented data systems, including task definitions, annotation schemas, rubrics, incentives, and pipelines.
• Analyze model and system failures to uncover root causes, edge cases, and improvement opportunities.
• Translate ambiguous real‑world behavior into structured evaluation frameworks and new data categories.
• Iterate rapidly on evaluations, datasets, and feedback loops to enhance model and system performance.

Required profile

• Experience in research signal judgment for AI/ML systems, including evaluation design and experimental validation.
• Strong background in ML‑oriented data design and annotation schema creation aligned with model training objectives.
• Ability to convert operational insights into research‑ready specifications.
• Hands‑on experience with reinforcement learning environments or comparable ML evaluation systems.
• Proven track record designing high‑velocity data pipelines that maintain quality in production.

Required skills

• Research signal judgment for AI/ML systems
• Evaluation design and validation
• ML‑oriented data design
• Annotation schema and rubric definition
• Reinforcement learning environments
• Data pipeline design and iteration

What we offer

• Opportunity to shape cutting‑edge AI systems used by labs and enterprises.
• Access to a high‑performance data platform, AI recruiter agent, and performance monitoring tools.
• Scalable impact across a global network of experts.