Frontend Engineer | $65-$120/hr Remote
Overview
A remote contract role for a Frontend Engineer focused on enabling next generation AI training. You’ll craft high quality UI input, create reproducible reinforcement learning scenarios, and deliver a golden reference solution to help models learn frontend problem solving. The work hinges on solid frontend craftsmanship with JavaScript, TypeScript, and a modern framework like React, Vue, or Angular. No AI background required; your frontend skills drive the impact.
What You'll Do6
- 1Provide clear code samples, debugging strategies, and development insights in JavaScript, TypeScript, and a modern framework
- 2Detect and fix UI bugs, layout glitches, and state management issues across diverse codebases
- 3Develop small to medium sized interface features with clean, reusable components
- 4Refactor existing frontend code for readability, performance, and consistency
- 5Document your reasoning and coding decisions to support AI training data quality
- 6Review peer submissions for correctness and clarity
Requirements6
- 11+ years building user interfaces with JavaScript/TypeScript and a modern framework
- 2Strong grasp of HTML, CSS, responsive design, and component based architecture
- 3Skill in debugging UI with browser dev tools and understanding rendering state
- 4Ability to navigate multiple codebases and learn unfamiliar components quickly
- 5Clear written communication to explain technical decisions and approaches
- 6Interest in AI and its technical challenges, no prior AI experience required
Who Should Apply
You’re a frontend developer who loves clean code, thoughtful UX, and solving problems that test UI mechanics. You should enjoy collaborating on reproducible environments and documenting your approach for data quality in AI training.
Salary Insight
Contract position with compensation discussed during the interview process; no explicit salary figure provided.
Location
Required Skills
Application Tip
Prepare a portfolio snippet showing a small UI feature you built, including a brief justification of your approach and any debugging decisions you would explain in a pull request.
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