Software Engineer – Machine Learning (AI Training)
Posted Today by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The role of Software Engineer – Machine Learning (AI Training) involves evaluating AI-generated machine learning solutions to enhance their quality and effectiveness. This fully remote position allows for flexible, asynchronous work, focusing on high-impact tasks without fixed hours or meetings. Candidates will leverage their machine learning expertise to review code, write solutions, and communicate complex concepts clearly. The position is ideal for self-motivated individuals with a strong background in machine learning frameworks and practices.
Key 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.
- Craft clear, developer-friendly explanations for model architecture decisions and code logic.
- Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses.
- Help set the quality bar for AI understanding and production of machine learning code.
Key Skills:
- Deep fluency in machine learning, including model development and deployment.
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong written communication skills for explaining complex ML concepts.
- Detail-oriented and rigorous in catching errors and ensuring accuracy.
- Self-motivated and comfortable working independently in an asynchronous environment.
- 3–5+ years of experience in machine learning projects or MLOps (nice to have).
- Experience with model evaluation, cloud deployment, or production ML systems (nice to have).
- Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field (nice to have).
- Background in data labeling or AI training workflows (nice to have).
- Prior experience with code review or technical writing (nice to have).
Salary (Rate): £90.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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 London 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. 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 (UK-based)
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