AI Technical Lead (Remote)
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Key skills for this role
About the Role
Hire Feed is seeking an AI Technical Lead to improve frontier AI models through rigorous evaluation and iterative development. The role involves designing ML-oriented data systems, analyzing model failures, and collaborating with researchers.
Key Skills for This Role
Responsibilities
- Own research and evaluation initiatives end to end
- Design machine learning oriented data systems including task definitions, annotation schemas, rubrics, and pipelines
- Analyze model and system failures to identify root causes and opportunities for improvement
- Translate ambiguous real world behavior into structured evaluation frameworks
- Iterate rapidly on evaluations, datasets, and feedback loops to improve model performance
Requirements
- 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
Full Job Posting
Role Overview
- Full time position focused on improving frontier AI models through rigorous evaluation, failure analysis, and iterative development.
- Work centers on designing and optimizing 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—problem framing, data design, quality calibration, and signal validation.
- Design machine learning oriented data systems that include task definitions, annotation schemas, rubrics, incentives, and pipelines.
- Analyze model and system failures to identify root causes, edge cases, and opportunities for improvement.
- 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.
Required Skills & Qualifications
- Experience in research signal judgment for AI/ML systems, including evaluation design and validation of experimental results.
- Strong background in ML oriented data design, with proficiency in defining annotation schemas and rubrics.
- Ability to translate operations to research insights, bridging gaps between domain expertise and technical execution.
- Hands on experience with reinforcement learning environments or related ML evaluation systems.
- Background in designing and iterating on data pipelines that maintain quality while achieving velocity.
More About the Opportunity
- Contribute to cutting edge AI systems used by labs and enterprises to train foundational models and build reliable AI agents.
- Work within a robust data engine including an AI recruiter agent, high performance data platform, and performance monitoring systems.
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