Systems Engineer - AI Model Evaluator - AI Trainer

Job Description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Systems Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour
Location: Remote

Role Responsibilities

• Use frontier AI coding agents to complete and evaluate complex engineering tasks.
• Review model-generated code, architecture decisions, and systems implementations.
• Identify bugs, edge cases, performance bottlenecks, and failure modes.
• Compare outputs from multiple frontier models and assess their strengths and weaknesses.
• Apply professional engineering judgment to realistic systems engineering scenarios.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

• 2+ years of professional systems engineering experience.
• Experience with distributed systems, networking, operating systems, storage systems, infrastructure software, or database internals.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
• Ability to evaluate model-generated systems designs and implementations.

Preferred

• Experience building highly scalable and performance-critical systems.

Compensation & Legal

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

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.