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Software Engineer - Frontend

Alignerr

full-remotemidcontractfrontend United States 148 days ago via LinkedIn
3,000,000 - 120,000,000 USD/hourly

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Tags

JavaScriptHTMLCSSReactVueAsync/AwaitDOM ManipulationAccessibilityPerformance OptimizationData Labeling

About the role

Role Overview

Software Engineer – Frontend (Contract) Fully remote and asynchronous. Rolling start as projects launch.

What You’ll Do

  • Review and evaluate AI-generated frontend code for correctness, efficiency, accessibility, and clarity (JavaScript, HTML, CSS).
  • Implement high-quality frontend solutions across UI and web development problems of varying difficulty.
  • Explain design decisions, code logic, and problem-solving strategies clearly and in a user-friendly way.
  • Identify and flag edge cases or ambiguities in problem statements or AI responses.

Requirements

  • Fluent English and strong written communication skills; able to clearly explain frontend concepts.
  • Deep JavaScript expertise, including:
    • async/await
    • closures
    • DOM manipulation
    • ES6+ syntax
    • browser APIs
  • 3–5 years of experience with modern frontend frameworks/tools/domains (e.g., React, Vue, Angular; web development).
  • Bachelor’s degree in Computer Science or related field (or pursuing one).

Nice to Have

  • Master’s/PhD preferred (not required).
  • Experience with data labeling, RLHF, or other AI training projects.

Role Details

  • Engagement: hourly, at-will contractor
  • Schedule: fully remote & asynchronous, min. 15 hrs/week
  • Work style: flexible workload; work from anywhere
  • Impact: improves models used by top AI labs and Fortune 500 teams

Interview Process

  • Screening with Zara (English AI interviewer)
  • Domain-specific Zara interview to assess frontend expertise, including:
    • frontend frameworks
    • state management
    • performance optimization

Additional Notes

  • Rolling reviews; you may take one or more domain assessments.

About Alignerr

Alignerr/Labelbox (Labelbox is described in the posting) builds an AI data engine, helping teams create, iterate, and manage training data for breakthrough AI. Their platform, expert services, and marketplace support safer and smarter models in production, serving research labs and enterprise customers.

Scraped 4/28/2026