Software Engineer - Frontend

Labelbox

• Remote Shape the data that powers frontier AI

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

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

• Fluent in English, with strong written communication skills and the ability to clearly explain frontend coding concepts
• Expertise in JavaScript: Deep familiarity with core JavaScript features such as async/await, closures, DOM manipulation, ES6+ syntax, and browser APIs
• 3–5 years of experience with modern frontend frameworks, tools, or domains (e.g., React, Vue, Angular, web development) is a plus
• Bachelor’s degree (or pursuing one) in Computer Science or a related field. Master’s or PhD preferred, but not required.
• Bonus: Experience with data labeling, RLHF, or other AI training projects

• Flexible workload — work from anywhere, on your own schedule
• High impact — your craft directly improves models used by top AI labs & Fortune 500 teams
• Clear ownership — know exactly what success looks like and have autonomy to deliver
• Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs

• Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
• Domain-specific Zara interview to assess your frontend expertise, including frontend frameworks, state management, and performance optimization.

Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.

Ready to Apply?

Click “Apply” above, and take one or more domain specific assessments.

We review candidates on a rolling basis and will contact you if your background matches an active project.