Responsibilities
• Design realistic, multi-step software engineering challenges that push the limits of current AI coding agents
• Build reference solutions in Python with clear setup and verification
• Use AI coding assistants in your workflow and observe where they succeed or fail
• Review tasks built by fellow experts and provide feedback on clarity, correctness, and difficulty
• Help researchers understand why AI agents fail on your tasks

Requirements
• MSc or PhD in computer science or another STEM field, or equivalent practical experience in a research-heavy domain
• 1+ years of experience in research, research-engineering, or software engineering
• Strong hands-on Python scripting and debugging skills with clean-code habits
• Everyday fluency with version control (Git), IDEs, and standard software development workflows
• Perfectionist mindset with high attention to detail, creativity, strong written communication, and ability to work independently on ambiguous problems
• Ability to engage reliably for ~35 hours per week

Preferred
• Experience with AI coding assistants, prompt engineering, or agent workflows
• Past experience in AI training, model evaluation, or benchmark/task authoring

How to Apply
Click "Apply" to be taken to the Mercor website. This is not a specific job posting but an application to join their talent network. Complete your profile by uploading your resume and confirming your work location. Once verified, you will be matched to opportunities as they arise. Please note that this role cannot support H1B or STEM OPT candidates. Applying through our link supports WFH Bulletin as a referral partner, but you are welcome to apply directly if you prefer.