Software Engineer - BackendLabelbox • San Francisco, CA, United States

Software Engineer - Backend

Labelbox • San Francisco, CA, United States

[job_card.variable_days_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

SWE - Backend (Contract)

Labelbox

Remote (UnitedStates preferred) Shape the data that powers frontier AI

Quick facts

Engagement - Hourly, at‑will contractor

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

Pay Range (US) - $25–$100 per hour

Start Date - Rolling — staffed as projects launch

Pay Range - $90 - $120 an hour

What you’ll do

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

You’re a great fit if

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

About the role

Flexible workload — work from anywhere, on your own schedule

High impact — your craft directly improves models used by top AI labs & Fortune500 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

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 backend expertise, including distributed systems, microservices, and backend frameworks.

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, AndreessenHorowitz, BCapital, GradientVentures, DatabricksVentures, and KleinerPerkins, 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.

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