Related skills
javascript docker github actions python typescriptWe are hiring experienced Senior Software Engineers who can create high quality engineering artifacts used to train and evaluate advanced AI coding assistants. This role does not involve building production features or owning product systems. Instead, you will apply your engineering expertise to design realistic coding tasks, review model-generated code, write high quality examples, and evaluate coding agent behavior.
You will collaborate with leading AI labs and teams developing next generation coding agents, contributing directly to how these models learn to write, debug, and reason about code.
Core Qualifications
4+ years of professional software engineering experience
Deep experience with CI/CD, automated testing, and code review best practices
Proficient in Python and JavaScript/TypeScript
Extensive hands-on use of AI coding tools such as Claude Code, Codex CLI, or Cursor
Working knowledge of LLM evaluation, benchmarking, and structured model assessments
Preferred Experience
Setting up GitHub Actions, workflows, and PR review processes at team scale
Strong Docker and DevOps skills or applied ML engineering experience
Active contributions to open source projects
Experience writing technical documentation, tutorials, or challenge problems (helpful but not required)
Engagement Details
Flexible hours with a minimum commitment of 20+ hours per week
Project length 1 to 2 months, with potential to extend
Compensation up to 150 dollars per hour
Independent contractor role
Who will thrives in this role?
People who are most successful and satisfied in this role typically:
Value flexibility in work hours, location, and contract structure
Want to earn strong supplemental income
Are looking for a high-quality side gig, not a full-time product engineering role
Enjoy contributing to cutting edge AI research, including direct collaboration with top industry labs
Want exposure to advanced LLM systems and agentic coding workflows
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