ML Engineer & AI Trainer — Remote, High-Impact Prompts

DataAnnotation; West Virginia; Remote; USD 170.000 - 243.000; Vollzeit

Benefits dieser Stelle

Remote work

Flexible project-based work

Zusammenfassung

DataAnnotation 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.

Qualifikationen

• Hands-on experience training, evaluating, or deploying ML models.
• Proficiency with Python and ML frameworks (PyTorch or JAX).
• Excellent written English.

Aufgaben

• Write prompts to probe model reasoning about ML systems.
• Review AI outputs for subtle errors: leaky evaluations, wrong loss formulations, and misdiagnosed training failures.
• Create correct solutions grounded in real practitioner experience.

Kenntnisse

Model training

Model evaluation

Model deployment

Python

PyTorch

JAX

Tools

Python

PyTorch

JAX

Jobbeschreibung

DataAnnotation 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.