Software Engineer – Machine Learning (AI Training)

Alignerr Corp.; Województwo mazowieckie; Remote; PLN 83,000 - 124,000; Part time

Job summary

Alignerr is seeking experienced ML engineers to evaluate AI-generated machine learning solutions from Warsaw and across Poland. This fully remote, flexible hourly contract lets you work on your own schedule, without fixed hours, focusing on catching errors and improving model quality.

You will review code across Python ML frameworks, write high‑quality ML solutions, and craft clear explanations for model decisions, enabling frontier AI models to perform better at one of the hardest tasks they do.

Qualifications

• Deeply fluent in machine learning — 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
• 3–5+ years working on ML projects, pipelines, or MLOps
• Experience with model evaluation, cloud deployment, or production ML systems
• Background in data labeling, RLHF, or other AI training workflows
• Prior experience with code review or technical writing

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

Machine learning

TensorFlow

PyTorch

scikit-learn

Data preprocessing

Model evaluation

Deployment

Technical writing

Independent work

Education

Bachelor's degree

Master's degree

PhD

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 Warsaw and across Poland 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.

Poland has one of Europe's fastest-growing tech communities, and Warsaw in particular is home to a deep pool of strong engineering talent. This role is an opportunity to put that expertise to work on global AI projects without leaving your city — or your couch.

This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings — just high-impact, expert work that matters.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote (Poland)
• 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