Software Engineer - Machine Learning (Contract)

About Company-

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.

What you will do

• Review and evaluate AI-generated machine learning code (e.g., Python, TensorFlow, PyTorch, scikit-learn) for correctness, efficiency, scalability, and clarity
• Write high-quality machine learning solutions to modeling, data processing, and deployment problems across varying difficulty levels
• Create clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving strategies
• Identify and flag edge cases or ambiguities in problem statements, datasets, or AI-generated responses

You are good fit if -

• Fluent in English, with strong written communication skills and the ability to clearly explain machine learning concepts and code
• Expertise in machine learning: Deep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), model development, data preprocessing, and deployment best practices
• 0–2 years of experience with machine learning projects, pipelines, or tools (e.g., model training, evaluation, MLOps, cloud deployment) is a plus
• Bachelor’s degree (or pursuing one) in Computer Science or a related field. Master’s or PhD preferred, but not required.

About 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.
• Click on the Apply link and sign up.
• Upload your resume and complete the ID verification.
• After verification, go to the Home Page.
• Click on “Start Interview with Zara” – the 15 min AI interview will be based on your resume.
• Complete the interview to proceed with onboarding.

Payout -

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