Remote ML Systems Engineer & Prompt Specialist

DataAnnotation; Lafayette (LA); Remote; USD 170,000 - 243,000; Part time

Benefits offered by this job

Flexible, remote work

Job summary

DataAnnotation is hiring a Machine Learning Engineer to stress-test how models reason about ML systems, including training dynamics, evaluation design, data pipelines, and deployment trade-offs.

You will write prompts, review outputs for subtle errors, and craft correct, well-grounded solutions based on real practitioner experience. Flexible, remote, project-based engagement with competitive compensation.

Qualifications

• 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 are assumed.
• Clear written English in explanations.

Responsibilities

• Write prompts that probe model reasoning 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.

Skills

ML engineering

Clear written English

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is hiring a Machine Learning Engineer to stress-test how models reason about ML systems, including training dynamics, evaluation design, data pipelines, and deployment trade-offs.

You will write prompts, review outputs for subtle errors, and craft correct, well-grounded solutions based on real practitioner experience. Flexible, remote, project-based engagement with competitive compensation.