Remote ML Systems Engineer & Prompt Specialist

DataAnnotation; Boston (MA); Remote; USD 83,000 - 207,000; Full time

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems, covering training dynamics, evaluation design, data pipelines, and deployment choices.

You'll write prompts, review AI outputs for subtle errors, and craft correct, grounded solutions based on real practitioner experience. This role embraces hands-on model work and clear written communication. Remote-friendly guidance and project-based collaboration are available.

Qualifications

• Hands-on experience training, evaluating, or deploying models.
• Proficiency with Python and PyTorch or JAX.

Responsibilities

• 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.

Skills

Hands-on ML experience

Clear written English

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems, covering training dynamics, evaluation design, data pipelines, and deployment choices.

You'll write prompts, review AI outputs for subtle errors, and craft correct, grounded solutions based on real practitioner experience. This role embraces hands-on model work and clear written communication. Remote-friendly guidance and project-based collaboration are available.