Remote ML Engineer for AI Training & Evaluation (Contract)

Alignerr Corp.; Warszawa; Remote; PLN 83,000 - 165,000; Part time

Job summary

Alignerr is seeking experienced ML engineers in Poland to evaluate AI-generated machine learning solutions. You will review code for correctness, improve quality, and help frontier AI models get better at reasoning and writing code.

The role is fully remote, hourly contract, with flexible, asynchronous work from anywhere in Poland and beyond. The ideal candidate has strong ML development skills, hands-on experience with TensorFlow, PyTorch, and scikit-learn, and excellent written communication

Qualifications

• Strong ML development, data preprocessing, training pipelines.
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Excellent written communication and ability to explain ML concepts clearly.

Responsibilities

• Review and evaluate AI-generated machine learning code 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 engineering

Python

TensorFlow

PyTorch

scikit-learn

Clear communication

Independent work

Education

Bachelor's / Master’s / PhD in CS/ML

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Alignerr is seeking experienced ML engineers in Poland to evaluate AI-generated machine learning solutions. You will review code for correctness, improve quality, and help frontier AI models get better at reasoning and writing code.

The role is fully remote, hourly contract, with flexible, asynchronous work from anywhere in Poland and beyond. The ideal candidate has strong ML development skills, hands-on experience with TensorFlow, PyTorch, and scikit-learn, and excellent written communication