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Frontend JavaScript Developer

Alignerr

full-remotemidcontractfrontend Seattle, WA 2 days ago via LinkedIn

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Tags

JavaScriptES6+DOM ManipulationReactVue.jsAI Code ReviewRLHFUI/UXTechnical WritingPerformance Optimization

About the role

Role Overview

As a Frontend JavaScript Developer (AI Training), you will evaluate, critique, and improve AI-generated JavaScript code—helping ensure next-generation AI coding tools meet the expectations of practicing engineers.

Location & Contract

  • Fully remote
  • Hourly contract
  • 10–40 hours/week (flexible; you set your schedule)
  • Independent, task-based assignments completed asynchronously

What You’ll Do

  • Evaluate AI-generated JavaScript for:
    • correctness
    • efficiency
    • adherence to ES6+ standards
  • Identify bugs, anti-patterns, and suboptimal logic in AI-produced frontend code, and propose optimized alternatives
  • Tackle complex UI/UX challenges to test AI performance on responsive and interactive elements
  • Assess DOM manipulation efficiency and real-world usability of AI-generated scripts
  • Write clear, human-readable documentation covering:
    • state flow
    • event handling
    • code logic
  • Complete task-based assignments independently

Requirements

  • Strong command of modern JavaScript (including async/await, closures, and DOM manipulation)
  • 3–5+ years hands-on experience with frameworks such as React, Vue, or Node.js
  • Strong code quality instincts (able to explain why something is wrong)
  • Clear written communication skills
  • Self-motivated and reliable while working independently
  • A CS degree is preferred, not required

Nice to Have

  • Experience with data labeling, RLHF, or AI training/evaluation projects
  • Background in code review, technical writing, or developer education
  • Familiarity with frontend performance profiling/optimization tools
  • Experience with testing frameworks or QA workflows

About Alignerr

Alignerr is a remote-first organization focused on AI training and evaluation work. The role supports AI research efforts by reviewing and improving AI-generated code quality for real-world developer standards.

Scraped 4/22/2026

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