We 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 Qualifications4+ years of professional software engineering experienceDeep experience with CI/CD, automated testing, and code review best practicesProficient in Python and JavaScript/TypeScriptExtensive hands-on use of AI coding tools such as Claude Code, Codex CLI, or CursorWorking knowledge of LLM evaluation, benchmarking, and structured model assessmentsPreferred ExperienceSetting up GitHub Actions, workflows, and PR review processes at team scaleStrong Docker and DevOps skills or applied ML engineering experienceActive contributions to open source projectsExperience writing technical documentation, tutorials, or challenge problems (helpful but not required)Engagement DetailsFlexible hours with a minimum commitment of 20+ hours per weekProject length 1 to 2 months, with potential to extendCompensation up to 150 dollars per hourIndependent contractor roleWho will thrives in this role?People who are most successful and satisfied in this role typically:Value flexibility in work hours, location, and contract structureWant to earn strong supplemental incomeAre looking for a high-quality side gig, not a full-time product engineering roleEnjoy contributing to cutting edge AI research, including direct collaboration with top industry labsWant exposure to advanced LLM systems and agentic coding workflows