What you’ll do Design multi-step coding tasks grounded in visual material: screenshots, UI mockups, diagrams, or screen recordings of real workflows. Specify which code and artifacts the task involves, and what the expected behavior is. Define objective success criteria — how someone would verify the task was completed correctly, not just plausibly. Provide a working reference implementation. Review tasks built by other contributors for technical accuracy and verifiability. Flag tasks that turn out to be ambiguous or ungradable rather than submitting them. What we’re looking for A public GitHub profile with substantial, verifiable contributions — commits, merged PRs, or repositories you maintain. This is essential. Strong frontend engineering: React, TypeScript, or similar, with experience shipping complex interfaces and interactions. Able to read, modify, debug and validate real application code. Experience with UI, graphics, SVG, or Canvas work is especially valuable. Product or UI designers with hands-on frontend implementation and public code contributions are also a fit. Strong written English, and the ability to explain expected behavior and reproducible verification steps. Prior data labeling, AI evaluation, or rubric-based review experience is a plus, not a requirement. How the selection process works Apply and complete the screening questions Complete the AI interview for this role — it’s how your expertise gets in front of the client Profile review Onboarding — our Talent Ops team will get you set up

About micro1

micro1 is engaging Software Engineer — Open Source Contributions experts to participate in an impactful customer project focused on high-quality, open source software development. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.