Frontend / UI Engineer

micro1; United States; Remote; USD 96,000 - 138,000; Full time

Job summary

micro1 is a data lab that helps AI labs and Enterprises train foundational models and agents, offering frontier evaluations and reinforcement learning environments to improve LLM capabilities and AI agent monitoring. The company sources domain experts for rapid production of high-quality training data across legal, medical, finance, coding, and more.

Role: Frontend / UI Engineer (Contractor) focused on turning visuals into challenging coding tasks with clear success criteria, and delivering a

Qualifications

• Public GitHub profile with substantial, verifiable contributions.
• 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 valuable.
• Product or UI designers with hands-on frontend implementation and public code contributions are a fit.

Responsibilities

• 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.

Skills

React

TypeScript

Frontend

UI Design

OSS Contributions

Product/UI design

GitHub

Debugging

Tools

React tools

TypeScript tooling

Job description

Pay

$70 - $100/hour

Required Skills

• React
• Typescript
• FrontEnd
• UI Design
• Graphic OSS Contributions
• Product/UI design
• GitHub
• Debugging

About micro1

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Role Title: Frontend / UI Engineer

Role Type: Contractor

Location

Remote

Opportunity Snapshot

Pay: $80–100/hour equivalent (approximately $640–800 per task)

Time per task: ~8 hours

Engagement: Project-based — paid per approved task

Location: Fully remote

You’ll need

A public GitHub profile with substantial, verifiable contributions

Your tasks

Turn screenshots, diagrams and videos into challenging coding tasks with objective success criteria

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

1. Apply and complete the screening questions
2. Complete the AI interview for this role — it’s how your expertise gets in front of the client
3. Profile review
4. Onboarding — our Talent Ops team will get you set up
5. Email