ML System Debugger & Prompt Engineer (Remote)

DataAnnotation; Salt Lake City (UT); A distancia; USD 170.000 - 243.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work

Remote projects available

Descripción de la vacante

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to craft the answers a strong practitioner would provide. You will shape how the next generation handles the field with hands-on work across training, evaluation, and deployment considerations.

Expect to write prompts, review model outputs for subtle issues, and supply correct, experience-backed solutions.

Formación

• Hands-on experience training, evaluating, or deploying models professionally or in serious personal work.
• Comfort with the modern ML stack; Python and PyTorch or JAX.
• Clear written English; your explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it.

Responsabilidades

• Write prompts that probe how models reason about training, evaluation, debugging, and productionizing ML systems.
• Review AI output for subtle errors: leaky evaluations, wrong loss formulations, and misdiagnosed training failures.
• Write the correct solution when the model falls short, grounded in real practitioner experience.

Conocimientos

Python

PyTorch

JAX

ML engineering

Herramientas

Git

Descripción del empleo

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to craft the answers a strong practitioner would provide. You will shape how the next generation handles the field with hands-on work across training, evaluation, and deployment considerations.

Expect to write prompts, review model outputs for subtle issues, and supply correct, experience-backed solutions.