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
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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Mercor connects elite creative and technical talent with leading AI research labs. The company specializes in matching top-tier professionals with AI research organizations to support advanced projects. Mercor facilitates work across multiple domains including financial analysis, hedge fund strategy evaluation, and deal structuring, leveraging AI to enhance model training and research capabilities. The company bridges the gap between specialized talent and cutting-edge AI research institutions.
