Software Engineer - Backend

- 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 backend code (e.g., Node.js, Python, Java, or Go) for correctness, efficiency, scalability, and clarity-

- Write high-quality backend solutions to server-side and API development problems across varying difficulty levels

- Create clear, developer-friendly explanations for architectural 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 backend coding concepts

- Expertise in backend development: Deep familiarity with server-side languages and frameworks (e.g., Node.js, Python, Java, Go), RESTful APIs, databases, and asynchronous programming

- 3–5 years of experience with backend frameworks, tools, or domains (e.g., Express, Django, Spring Boot, microservices, cloud platforms) 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 backend expertise, including distributed systems, microservices, and backend frameworks.

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.

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.