Coding Expert - JavaScript

What you’ll do

• Review and evaluate AI-generated JavaScript code for correctness, efficiency, and clarity.
• Write high-quality JavaScript solutions to coding problems across varying difficulty levels.
• Create clear, human-readable explanations for code logic and problem-solving strategies.
• Identify and flag edge cases or ambiguities in problem statements or AI responses.

You’re a great fit if

• Fluent in English, with strong written communication skills and the ability to clearly explain abstract coding concepts.
• Expertise in JavaScript: Deep familiarity with core JavaScript concepts such as async/await, closures, DOM manipulation, and ES6+ features.
• 3-5 years of experience with JavaScript frameworks, tools, or domains (e.g., Node.js, React, 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.

About the role

• 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.

Pay

Pay Range (US): $25 – $100 per hour

Schedule

Fully remote & asynchronous (min. 15 hrs/week)

Interview process

• 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 JavaScript expertise, including advanced language features (such as closures, prototypes, and async/await), modern frameworks (like React, Angular, and Node.js), and your problem-solving skills with complex algorithms and data structures.

About Labelbox

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.