Remote | Software Engineer (AI Model Trajectory Annotation) — Up to $130/hr

We are sharing a specialised part-time consulting opportunity for experienced front-end software engineers interested in contributing to frontier AI research. This role supports high-impact collaborations with leading AI labs focused on improving how advanced AI systems perform real-world client-side web development tasks. Experts will help build high-quality training datasets by designing coding tasks and evaluation rubrics related to modern front-end development workflows. These datasets help AI models better understand user interface behavior, application interactivity, and client-side architecture. Key Responsibilities Design realistic prompts for client-side web applications, games, tools, or simulations Create structured evaluation rubrics that measure frontend implementation quality Ensure rubric items are binary (pass/fail) and verifiable through code and screenshots Develop evaluation criteria covering UI correct We are sharing a specialised part-time consulting opportunity for experienced software engineers interested in contributing to frontier AI research. This role supports high-impact collaborations with leading AI labs focused on improving how advanced AI systems reason about real-world coding tasks. Experts will contribute to building high-quality training datasets by reviewing and annotating software engineering problem-solving trajectories derived from real open-source repositories. These annotations help improve AI models reasoning, debugging capabilities, and technical decision-making processes. Key Responsibilities Review model-generated code trajectories based on real software engineering tasks Reconstruct step-by-step reasoning explaining how a solution evolves Annotate debugging logic, decision points, and technical problem-solving strategies Use full task context (codebase, issues, test cases) to infer plausible reasoning steps Ensure annotations reflect realistic developer thinking and technical accuracy Maintain consistency and clarity across structured reasoning annotations Ideal Profile Strong candidates may have: 2+ years of professional software engineering experience Hands-on experience debugging and solving issues in real codebases Strong proficiency in programming languages such as: Python JavaScript / TypeScript or other common open-source languages Additional qualities include: Familiarity with version control workflows ( Git, pull requests, issue tracking ) Ability to explain technical reasoning clearly in written form Strong analytical thinking and structured problem-solving skills Project Timeline Start Date: Immediate Duration: 1–2 months Commitment: Part-time (15–25 hours per week) Optional scaling up to ~40 hours/week depending on availability Location Requirements Candidates should be based in one of the following regions: United States, Canada, United Kingdom, Austria, Belgium, France, Germany, Liechtenstein, Luxembourg, Monaco, Netherlands, Switzerland, Bulgaria, Czech Republic, Hungary, Moldova, Poland, Romania, or Slovakia. Why This Opportunity Contribute directly to cutting-edge AI research Help improve AI models reasoning on real-world coding tasks Work with datasets derived from real open-source repositories Flexible remote work with competitive compensation Contract Details Independent contractor role Fully remote with flexible scheduling Compensation ranges up to $70–$130/hr depending on expertise and project scope Weekly payments via Stripe or Wise Projects may extend depending on performance and project needs About the Platform This opportunity is available through a leading AI-driven work platform.