We are looking for experienced ML engineers to evaluate AI-generated machine learning solutions, catching errors, improving quality, and helping frontier AI models get better.

Company: Alignerr

Role: Software Engineer – Machine Learning (AI Training)

Location: Remote (UK-based)

Key Skills:

Python
TensorFlow
PyTorch
scikit-learn
machine learning
model development
data preprocessing
training pipelines
deployment

Role Focus:

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
Craft clear 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

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

Other:

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

Software Engineer – Machine Learning (AI Training)

Skills Required

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