Remote ML Engineer for AI Training & Review (Contract)

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 138,000; Part time

Job summary

Alignerr Corp. is seeking an experienced ML engineer to evaluate AI-generated ML solutions, catch errors, and improve quality for frontier models. This fully remote, asynchronous role values independence and deep expertise in ML theory and practice.

You’ll review code in Python with TensorFlow, PyTorch, and scikit-learn, provide clear explanations, and help raise the bar for model understanding and deployment across challenging tasks.

Qualifications

• Strong ML knowledge including model development and deployment.
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Excellent written communication and ability to explain complex ML concepts clearly.
• Detail-oriented, rigorous, and able to catch edge cases.
• Independent and comfortable working asynchronously.

Responsibilities

• Review and evaluate AI-generated machine learning code for correctness, efficiency, scalability, and clarity.
• Write high-quality ML solutions for modeling, data processing, and deployment tasks.
• Provide clear, developer-friendly explanations for model architecture decisions and code logic.
• Identify edge cases, ambiguities, and weaknesses in problem statements and data.
• Help set the quality bar for how AI understands and produces ML code.

Skills

Machine learning

ML frameworks

Clear communication

Attention to detail

Independent work

Education

CS/ML degree

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Alignerr Corp. is seeking an experienced ML engineer to evaluate AI-generated ML solutions, catch errors, and improve quality for frontier models. This fully remote, asynchronous role values independence and deep expertise in ML theory and practice.

You’ll review code in Python with TensorFlow, PyTorch, and scikit-learn, provide clear explanations, and help raise the bar for model understanding and deployment across challenging tasks.