About the job

ML Engineer (Coding Agent Experience) [$85/hr]

About The Role

• Contributors help evaluate and improve frontier AI coding models through structured technical assessments
• The work focuses on realistic machine learning engineering workflows and model evaluation
• Spots are limited and filling quickly on a first come, first serve basis
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Role Responsibilities

• Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks
• Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications
• Identify bugs, edge cases, performance issues, and failure modes
• Compare outputs from multiple frontier models and assess their strengths and weaknesses
• Apply professional engineering judgment to realistic ML engineering scenarios
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Time Commitment

• Sprint based project that runs in 12-24 hour stretches based on client requirement
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Good Candidature

• 2+ years of professional machine learning engineering experience
• Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools
• Ability to evaluate model-generated machine learning implementations and technical tradeoffs
• Experience deploying ML systems to production is preferred
• We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request
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Compensation

• $400 per accepted task
• Typical tasks take approximately 2-3 hours after ramp-up
• Compensation is tied to accepted work
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