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Software Engineer - Frontend

Alignerr

full-remotemidcontractfrontend United States Today via LinkedIn
50,000 - 260,000 USD/annual

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Tags

JavaScriptReactVue.jsAccessibilityDOM ManipulationAsync/AwaitFrontend DevelopmentPerformance OptimizationState ManagementAI Training

About the role

Role: Software Engineer — Frontend (Contract)

Engagement: Hourly, at-will contractor
Schedule: Fully remote & asynchronous (min. 15 hrs/week)
Start: Rolling (staffed as projects launch)
Pay (US): $25–$100/hour

What you’ll do

  • Review and evaluate AI-generated frontend code (JavaScript, HTML, CSS) for:
    • correctness
    • efficiency
    • accessibility
    • clarity
  • Write high-quality frontend solutions for UI/web development problems across varying difficulty levels.
  • Explain your decisions clearly, including:
    • design decisions
    • code logic
    • problem-solving approaches
  • Identify and flag edge cases or ambiguities in problem statements or AI responses.

Requirements

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

Nice to have

  • Master’s or PhD (preferred)
  • Experience with data labeling, RLHF, or other AI training projects

Interview process

  • English screening with Zara (AI interviewer)
  • Domain-specific interview/assessment focused on:
    • frontend frameworks
    • state management
    • performance optimization

About the company (Labelbox)

Labelbox builds the data engine for breakthrough AI, enabling teams to iterate on data with expert services and a marketplace so models can be safer and smarter in production.

About Alignerr

Alignerr is hiring a contract Software Engineer focused on frontend evaluation and development. The work supports Labelbox’s data platform and services that accelerate AI development through labeled data and expert iteration, helping teams build safer, smarter models used by leading labs and enterprises.

Scraped 4/9/2026

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