What the work involves

You work through tasks that put model output under an engineer's eye. A typical unit might be: a prompt asking for a virtualized list component, two candidate responses, and your job is to rank them, mark the specific defects (a stale closure in a `useEffect`, an accessibility attribute applied to the wrong node, a re-render cascade nobody measured), and write a correction that a senior reviewer would sign off on. Other task types include authoring original frontend prompts at a stated difficulty, repairing broken component code, and writing test cases that expose behavior a model got subtly wrong.

The hard part is rarely spotting that code fails — it's articulating why it fails in language a training pipeline can use. Vague feedback ("this is bad practice") gets rejected. Reviewers want the failure mode named, the browser or React behavior that causes it, and the fix stated concretely.

What the platform screens for

micro1 runs an AI-led interview before any human review. Expect it to probe:

  • Real production experience with React and TypeScript, not tutorial familiarity — you'll be asked to walk through decisions you personally made
  • Depth under follow-up: the interviewer pushes on rendering behavior, state management tradeoffs, bundling, and accessibility until you either demonstrate mechanism-level understanding or don't
  • Written clarity, since the deliverable is prose as much as code
  • Honest availability, stated in hours per week you can actually sustain

Logistics

  • Remote, contract, invoiced hourly against logged task time
  • Async — no standing meetings; queues open and close as projects ramp
  • Most contributors report 10–25 hours/week, with volume that fluctuates by project
  • Pay in the $40–50/hr range has been observed on this track; rates vary by project, assessed level, and specialization and are not guaranteed
  • Work is typically covered by NDA; you generally cannot publish or discuss task content