AI Technical Lead (Remote)
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Key skills for this role
About the Role
This role focuses on improving frontier AI models through rigorous evaluation, failure analysis, and iterative development.
Key Skills for This Role
Responsibilities
- Own research and evaluation initiatives end to end: problem framing, data design, quality calibration, signal validation
- Design machine learning oriented data systems including task definitions, annotation schemas, rubrics, incentives, and pipelines
- Analyze model and system failures to identify 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 improve model and system performance
Requirements
- Experience in research signal judgment for AI/ML systems
- Strong background in ML oriented data design, including annotation schemas and rubrics
- Ability to translate operations to research insights
- Hands on experience with reinforcement learning environments or related ML evaluation systems
- Background in designing and iterating on data pipelines for production environments
Full Job Posting
Role Overview
- Full time position focused on improving frontier AI models through evaluation, failure analysis, and iterative development.
- Design and optimize machine learning oriented data systems.
- Translate real world problems into structured evaluation frameworks.
- Collaborate with researchers and domain experts to drive measurable improvements in model performance across finance, healthcare, and engineering.
Key Responsibilities
- Own research and evaluation initiatives end to end.
- Design ML oriented data systems with task definitions, annotation schemas, rubrics, incentives, and pipelines.
- Analyze model and system failures to identify root causes and edge cases.
- Translate ambiguous real world behavior into structured evaluation frameworks.
- Iterate rapidly on evaluations, datasets, and feedback loops.
Required Skills & Qualifications
- Experience in research signal judgment for AI/ML systems.
- Strong background in ML oriented data design.
- Ability to translate operations to research insights.
- Hands on experience with reinforcement learning environments or related ML evaluation systems.
- Background in designing and iterating on data pipelines in production environments.
More About the Opportunity
- Contribute to cutting edge AI systems used by labs and enterprises.
- Work within a robust data engine including AI recruiter agent, high performance data platform, and performance monitoring systems.
- Scalable impact across global expert networks.
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