Software Engineer – Machine Learning (AI Training)

About The Role
What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Toronto to evaluate AI-generated machine learning solutions — catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
This is a fully remote, flexible contract role. Work asynchronously on your own schedule. No fixed hours, no meetings — just high-impact, expert work that matters.
Organization: Alignerr
Type: Hourly Contract
Location: Remote (Canada-based)
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

Work arrangement
Yes