Remote ML Engineer – AI Training & Code Review

Alignerr Corp.; Amsterdam; Remote; EUR 55,000 - 110,000; Part time

Job summary

Alignerr is seeking experienced ML engineers in Amsterdam and across the Netherlands to evaluate AI-generated machine learning solutions. You will review Python, TensorFlow, PyTorch, and scikit-learn code for correctness and efficiency, and craft clear explanations of model decisions for developers.

You’ll write high-quality ML solutions for modeling, data processing, and deployment, identify edge cases, and help set the quality bar for how AI understands and produces ML code.

Qualifications

• Extensive experience in building and evaluating ML models.
• Ability to explain ML concepts clearly in writing.
• Experience with evaluating AI-generated ML code and datasets.

Responsibilities

• 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

Skills

ML expertise

Strong written communication

Detail-oriented

Independent / async work

Education

Bachelor's/Master's/PhD in CS or ML

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Alignerr is seeking experienced ML engineers in Amsterdam and across the Netherlands to evaluate AI-generated machine learning solutions. You will review Python, TensorFlow, PyTorch, and scikit-learn code for correctness and efficiency, and craft clear explanations of model decisions for developers.

You’ll write high-quality ML solutions for modeling, data processing, and deployment, identify edge cases, and help set the quality bar for how AI understands and produces ML code.