SWE-Bench Task Auditor
$70 to $90/hIndicative range provided by Mercor
Posted on August 28, 2026 · Applications until October 18, 2026
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This remote role involves evaluating and auditing software-engineering benchmark tasks, reference patches, and test harnesses for AI models. Candidates need at least three years of professional software engineering experience, open-source contribution history, and strong code-review skills.
Description in English, as published by Mercor.
Evaluate the quality, correctness, and reproducibility of software-engineering benchmark tasks used to train and evaluate a frontier AI lab's models. You'll assess repository-level tasks, reference patches, test harnesses, and grading integrity, and provide clear, rubric-based written feedback.
Basic Qualifications • 3+ years professional software engineering • Real open-source contribution or maintainer experience (merged PRs, committer / maintainer roles) • Strong ability to audit reference patches, test runners, and Docker isolation, and to detect answer leakage / reward hacking • Fluency across common ecosystems (Python and at least one of Java / Go / TypeScript / C++)
Preferred Qualifications • 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
3 openings
About Mercor
Mercor is a US marketplace hiring remote experts for AI and consulting projects, from law to engineering. The original posting is on their site.
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