Software Engineer - Machine Learning (Contract)

Software Engineer - Machine Learning (Contract)

 Remote (United States preferred)

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 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’re a great 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
• 3–5 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.
• 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 ML expertise, including ML algorithms, models, and training strategies.