Software Engineer – Machine Learning (AI Training)

Alignerr Corp.

Województwo mazowieckie

Remote

PLN 165,000 - 344,000

Part time

3 hours ago
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Job summary

Alignerr is seeking experienced ML engineers to evaluate AI-generated ML code from Warsaw and across Poland. You will review code for correctness and efficiency, develop high-quality ML solutions, and clearly explain architecture decisions. This is a fully remote, hourly contract role with flexible project-based commitment.

You should have strong ML expertise, hands-on experience with TensorFlow, PyTorch, or scikit-learn, and excellent written communication. Independent, async work is a plus.

Qualifications

  • Deep ML knowledge with hands-on experience across model development, data preprocessing, training pipelines, and deployment.
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Excellent written communication and ability to explain complex ML concepts clearly.

Responsibilities

  • Review and evaluate AI-generated ML code for correctness, efficiency, and scalability.
  • Author high quality ML solutions for modeling, data processing, and deployment tasks.
  • Provide clear explanations of model decisions and code logic to developers.

Skills

ML expertise
Python
TensorFlow
PyTorch
scikit-learn
Strong written communication
Async remote work

Education

Bachelor's / Master’s / PhD in CS/ML

Tools

Cloud deployment
Model evaluation

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.

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
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