Software Engineer – Machine Learning (AI Training)

This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings — just high-impact, expert work that matters.

- Organization: Alignerr - Type: Hourly Contract - Location: Remote (Poland) - Commitment: Flexible, project-based

What You'll Do

* Review and evaluate AI-generated machine learning code — including Python, TensorFlow, PyTorch, and scikit-learn — for correctness, efficiency, scalability, and clarity * Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels * Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches * Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses * Help set the quality bar for how AI understands and produces machine learning code

Who You Are

* Deeply fluent in machine learning — you know your way around model development, data preprocessing, training pipelines, and deployment * Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn * Strong written communicator — able to explain complex ML concepts clearly and precisely * Detail-oriented and rigorous — you catch what others miss and care about getting things right * Self-motivated and comfortable working independently in an async environment

Nice to Have

* 3–5+ years working on machine learning projects, pipelines, or MLOps * Experience with model evaluation, cloud deployment, or production ML systems * Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field * Background in data labeling, RLHF, or other AI training workflows * Prior experience with code review or technical writing

Why Join Us

* Work on cutting-edge AI projects alongside leading research labs and top AI teams * Fully remote and async — work when and where it suits you, with no minimum hour commitments beyond project needs * Freelance autonomy with the structure of meaningful, task-based work * Your contributions directly improve AI models used by top research labs and enterprise teams worldwide * High-performing contributors take on expanded responsibilities and lead new programs * Potential for ongoing work and contract extension as new projects launch