SWE-Bench Task Auditor

Cashback24x7; Indiana; Hybrid; USD 96,000 - 124,000; Full time

Job summary

Mercor is seeking a SWE-Bench Task Auditor to evaluate the quality, correctness, and reproducibility of benchmark tasks used to train frontier AI models. You will assess repository-level tasks, reference patches, test harnesses, and grading integrity with rubric-based feedback.

The role is fully remote in the United States and paid hourly. Requires 3+ years of software engineering and strong open-source experience, with fluency in Python and at least one other major language.

Qualifications

• 3+ years professional software engineering.
• Open-source contribution or maintainer experience.
• Ability to audit reference patches, test runners, and detect leakage / reward hacking.

Responsibilities

• Evaluate the quality, correctness, and reproducibility of SWE-bench tasks, reference patches, test harnesses, and grading integrity with rubric-based feedback.

Skills

3+ years software eng

Open-source contributor

Code audit

Docker isolation

Python

Java/Go/TS/C++

Tools

Docker

Job description

SWE-Bench Task Auditor

Company: Mercor Compensation: $70-$90 per hour Commitment: Hourly contract Location: Remote — United States Referral Reward: Earn up to $1,440 per successful referral Referral Link: https://t.mercor.com/nBGuF

Location requirements

United States

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

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.