Software Engineer – Machine Learning (AI Training)

Alignerr; Toronto; A distancia; CAD 83.000 - 165.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible schedule

Contract-based projects

Descripción de la vacante

Alignerr is seeking an experienced ML engineer to evaluate AI-generated machine learning solutions for correctness, quality, and scalability. You will review code across Python, TensorFlow, PyTorch, and scikit-learn, identify edge cases, and help raise the quality bar for AI-generated ML tasks.

The role is fully remote, asynchronous, project-based, and offers flexible scheduling. You will work independently on high-impact tasks that influence frontier AI models and production-ready workflows.

Formación

• Proficient in ML model development and deployment.
• Experience evaluating AI-generated ML code for correctness and efficiency.
• Strong written communication and ability to explain complex ML concepts clearly.

Responsabilidades

• Review and evaluate AI-generated ML code in Python, TensorFlow, PyTorch, and scikit-learn for correctness and efficiency.
• Develop high-quality ML solutions for modeling, data processing, and deployment problems.
• Explain model architectures and problem-solving approaches clearly to developers.

Conocimientos

ML frameworks

Model development

Data preprocessing

Deployment pipelines

Educación

Bachelors/Masters/PhD in CS/ML

Herramientas

TensorFlow

PyTorch

scikit-learn

Descripción del empleo

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