ML Engineer & AI Trainer — Remote, -Impact Prompts

Data Annotation is seeking a Machine Learning Engineer to stress-test model reasoning about ML systems, data pipelines, and deployment trade-offs. You will design prompts, review outputs, and document approaches that a strong practitioner would trust.

With hands-on experience in training, evaluating, or deploying models, you’ll work in a remote, project-based environment using Python and PyTorch or JAX, communicating clearly in written English to guide best practices.

We have an opening for a ML Engineer & AI Trainer — Remote, High-Impact Prompts in WV, United States within IT & Technology, Engineering.

We aim to respond to suitable candidates as soon as possible.

Full responsibilities and requirements are described in the listing above.

Learn more about the ML Engineer & AI Trainer — Remote, High-Impact Prompts role in the description above.

We appreciate your interest in this position.