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Frontend / UI Engineer

micro1 · Remote · Posted 20h ago
This job was posted on Himalayas, an open job board. Join eGig free and you get the link to apply on Himalayas. Every job you apply to is then kept in My applications, with the pay shown up front.
Salary$70 – $100 / hr
Experience2 – 5 years
Job typeContract
Work modeRemote
Openings1

Apply by 5 Jan 2027

About the job

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

- 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

Originally posted on Himalayas

Skills

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