Software Engineer - Benchmark Auditor

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: SWE-Bench Task Auditor Type: Contract Compensation: $70–$90/hour Location: Remote Role Responsibilities Evaluate the quality, correctness, and reproducibility of software-engineering benchmark tasks . Assess repository-level tasks, reference patches, test harnesses, and grading integrity. Provide clear, rubric-based written feedback to improve AI model training . Audit reference patches, test runners, and Docker isolation to detect answer leakage and reward hacking. Work independently and asynchronously to meet deadlines and enhance AI model performance . Qualifications Must-Have 3+ years professional software engineering experience. Real open-source contribution or maintainer experience (merged PRs, committer/maintainer roles). Strong ability to audit reference patches, test runners, and Docker isolation. Fluency across common ecosystems ( Python and at least one of Java / Go / TypeScript / C++ ). Preferred Familiarity with SWE-Bench (Verified) or similar repository benchmarks. Maintainer history on major Python OSS ( Django , Flask , scikit-learn , sympy , pytest , etc.). Prior code-review or task-grading experience. 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: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas

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