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.

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, adaptable 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

#J-18808-Ljbffr

📌 Software Engineer – Machine Learning (AI Training) (Ontario)
🏢 Alignerr
📍 Ontario