Software Engineer – Machine Learning (AI Training)

Alignerr Corp.; Toronto; Remote; CAD 96,000 - 179,000; Part time

Job summary

Alignerr is seeking experienced ML engineers in Toronto to evaluate AI-generated machine learning solutions—catch errors, improve quality, and help frontier models become genuinely better at one of the hardest things they do.

This is a fully remote, asynchronous hourly-contract role. Work on your own schedule with no fixed hours or meetings, delivering high-impact, expert work that directly informs cutting-edge AI systems.

Qualifications

• Expertise in machine learning model development and deployment.
• Experience with Python ML libraries (TensorFlow, PyTorch, scikit-learn).
• Ability to explain ML concepts clearly in writing.

Responsibilities

• Review and evaluate AI-generated ML code for correctness and efficiency.
• Write high-quality ML solutions for modeling, data processing, deployment.
• Craft clear explanations for model decisions and code logic.
• Identify edge cases and weaknesses in datasets or prompts.
• Help set the quality bar for how AI understands and produces ML code.

Skills

Machine learning

ML frameworks

Communication

Attention to detail

Independent work

Education

Degree in CS/ML/related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

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, 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