ML Prompt & Evaluation Engineer (Remote)

DataAnnotation; Nevada; Remote; USD 170,000 - 243,000; Full time

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning, design evaluation prompts, and document robust solutions based on practitioner experience. The role emphasizes hands-on work with Python and leading ML stacks, remote collaboration, and project-based contributions.

Compensation is task-driven with substantial hourly rates for complex tasks. Applicants should demonstrate experience training, evaluating, or deploying models, strong English communication, and a

Qualifications

• Hands-on experience training, evaluating, or deploying models.
• Comfort with the modern ML stack; Python and PyTorch or JAX.
• Clear written English: your explanations are the training signal.
• No degree required; focus on capability over credentials.

Responsibilities

• Write prompts that probe how models reason about ML systems.
• Review AI output for subtle errors and diagnose issues.
• Write correct solutions grounded in practical experience.

Skills

Prompt engineering

Model evaluation

Python

PyTorch

Tools

PyTorch

JAX

Git

Python

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning, design evaluation prompts, and document robust solutions based on practitioner experience. The role emphasizes hands-on work with Python and leading ML stacks, remote collaboration, and project-based contributions.

Compensation is task-driven with substantial hourly rates for complex tasks. Applicants should demonstrate experience training, evaluating, or deploying models, strong English communication, and a