ML Engineer - Coding Agent Expert - AI Trainer

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 in AI models.
• Compare outputs from multiple frontier models and assess their strengths and weaknesses.
• Apply professional engineering judgment to realistic ML engineering scenarios.

Qualifications

• Must-Have: 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.
• PREFERRED: Experience deploying ML systems to production.

Compensation & Legal

• Compensation: $400 per accepted task.
• Compensation is tied to accepted work.

Application Process

(Takes 20–30 mins)
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Resources & Support

Interview process details
Support: support@mercor.com

Machine Learning & Artificial Intelligence

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