Software Engineer - Backend
About the role
SWE - Backend (Contract)
Labelbox
Remote (United States preferred) Shape the data that powers frontier AI
Quick facts
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
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 & 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
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, 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.
Responsibilities
- Review and evaluate AI-generated backend code for correctness, efficiency, scalability, and clarity
- Write high-quality backend solutions to server-side and API development problems
- 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
Qualifications
- Fluent in English with strong written communication skills
- Expertise in backend development with familiarity in server-side languages and frameworks
- 3–5 years of experience with backend frameworks, tools, or domains is a plus
- Bachelor’s degree in Computer Science or a related field; Master’s or PhD preferred
Benefits
- Flexible workload and schedule
- High impact on AI models used by top labs and Fortune 500 teams
- Clear ownership and autonomy in delivering results
- Growth potential for consistent high performers
Skills mentioned
About Labelbox
We're looking for experts to help train better AI. At Alignerr, we offer paid, flexible projects for writers, coders, and subject matter experts to refine and align advanced artificial intelligence. Work when you want, where you want. Apply today at Alignerr.com or through our open Job Postings.
H-1B sponsorship history
Historical employer filing data was found for Labelbox. The employer record includes 40 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.