Frontend JavaScript Developer
Alignerr
full-remotemidcontractfrontend Seattle, WA Today via LinkedIn
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JavaScriptES6+ReactVueNode.jsDOM Manipulationasync/awaitCode ReviewTechnical WritingPerformance Optimization
About the role
Role Overview
As a Frontend JavaScript Developer (AI Training) at Alignerr, you will evaluate and improve AI-generated JavaScript code. You’ll help ensure the next generation of AI coding tools produces code that works for real engineers.
Responsibilities
- Evaluate AI-generated JavaScript for:
- correctness
- efficiency
- adherence to ES6+ standards
- Identify and fix issues in AI-written frontend code, including:
- bugs
- anti-patterns
- suboptimal logic
- Provide optimized alternatives and explain improvements
- Test AI handling of responsive and interactive UI/UX challenges
- Assess DOM manipulation efficiency and real-world usability
- Write clear, human-readable documentation covering:
- state flow
- event handling
- code logic
- Complete task-based assignments independently and asynchronously on your own schedule
Requirements
- Strong command of core JavaScript, including:
- async/await
- closures
- DOM manipulation
- modern ES6+ ecosystem
- 3–5 years hands-on experience with React, Vue, or Node.js
- Ability to judge code quality and articulate why it falls short
- Clear written communication; can explain technical concepts to varied audiences
- Self-motivated and consistent working independently
- CS or related degree preferred (not required)
Nice to Have
- Experience with data labeling, RLHF, or other AI training/evaluation work
- Background in code review, technical writing, or developer education
- Familiarity with frontend performance profiling/optimization tools
- Experience with testing frameworks or QA workflows
Work Details
- Type: Hourly contract
- Location: Remote (fully remote)
- Hours: 10–40 hours/week (flexible; you set your own schedule)
About Alignerr
Alignerr is an organization working on cutting-edge AI projects, specifically around evaluating and improving AI-generated code. The role focuses on training and assessment work that helps ensure AI coding tools meet real engineering standards for correctness, efficiency, and usability.
Scraped 7/29/2026