AI Summary
Evaluate and improve AI-generated machine learning code. Work asynchronously, remotely, with high-impact, expert work. Deep ML expertise required.
Key Highlights
Review and evaluate AI-generated ML code
Write high-quality ML solutions to modeling problems
Craft clear, developer-friendly explanations for model architecture decisions
Work remotely, asynchronously, on your own schedule
Key Responsibilities
Review and evaluate AI-generated ML 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, code logic, and problem-solving approaches
Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
Technical Skills Required
Benefits & Perks
Fully remote, flexible contract role
Work on cutting-edge AI projects
Potential for ongoing work and contract extension
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
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 based in or around New York 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 (US-based)
- Commitment: Flexible, project-based
- 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
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 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
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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
- 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
Similar Jobs
Explore other opportunities that match your interests
Senior Software Engineer - AI Infrastructure
••••••
••••••
••••••
Job Type
••••••
Experience Level
••••••
Salesforce
United State
Visa Sponsorship
Relocation
Remote
Job Type
Full-time
Experience Level
Not Applicable
Jobgether
United State
Visa Sponsorship
Relocation
Remote
Job Type
Full-time
Experience Level
Mid-Senior level
Strativ Group
United State