Join us in helping advance the next generation of AI models!
We are looking for experienced Software Engineers to contribute to a cutting-edge AI evaluation project. This project plays a key role in improving how frontier language models understand, reason about, and generate production-quality software. You'll evaluate AI-generated solutions through the lens of an experienced software engineer, helping shape the future of AI-assisted software development.
Project Timeline
- Project Duration: Approximately 1 week
- Expected Timeline: July 8–14
- Expected commitment: at least 10 hours
- Candidates must be located in US/ Canada due to the need for real-time collaboration with the project team.
Background & Qualifications
YOE
- 3+ years of professional software engineering experience (or equivalent open-source experience)
Technical Expertise
- JavaScript / TypeScript: Node.js, React, TypeScript, modern web application development
- Go: Backend services, distributed systems, REST/gRPC APIs, cloud-native development (Kubernetes experience is a plus)
- Python: Backend development, open-source libraries, DevOps/infrastructure automation, testing frameworks
Software Engineering
- Experience working with large production codebases
- Ability to quickly understand unfamiliar repositories and software architectures
- Experience reviewing code for readability, maintainability, and software design
- Strong engineering judgment and a solid understanding of software engineering best practices
GitHub & Open Source
- Strong understanding of Git and GitHub workflows (e.g., branching, Issues, Pull Requests, and Code Reviews)
- Experience navigating open-source repositories and collaborating through GitHub
- Familiarity with open-source development workflows is highly preferred
- Familiarity with SWE-Bench or SWE-Bench Pro is a plus
Communication
- Strong English communication skills
Responsibilities
- Become familiar with assigned open-source codebases and their engineering practices
- Review code changes, technical discussions, and related software artifacts
- Evaluate AI-generated code for correctness, quality, maintainability, and engineering best practices
- Provide structured evaluations with clear technical reasoning
- Collaborate with fellow technical reviewers to ensure high-quality and consistent evaluations
Note: This is not a software development role. Rather than writing code, you'll leverage your software engineering expertise to evaluate AI-generated solutions and help improve the capabilities of state-of-the-art coding models.
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.