Systems Engineer - AI Model Evaluator - AI Trainer

About the jobMercor 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:ContractCompensation:$85/hourLocation:RemoteRole ResponsibilitiesUse 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.QualificationsMust-Have2+ 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.PreferredExperience building highly scalable and performance-critical systems.Compensation & Legal$400 per accepted taskCompensation is tied to accepted work.Application Process (Takes 20–30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: [email protected]: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.#hiringmercorOriginally posted on Himalayas