ML Systems Reviewer & Prompt Engineer (Remote, Flexible)

DataAnnotation; Reston (VA); Remote; USD 124,000 - 207,000; Full time

Benefits offered by this job

Flexible work

Remote projects

Job summary

DataAnnotation seeks a Machine Learning Engineer to stress-test model reasoning about ML systems and to craft authoritative answers a strong practitioner would give. You will shape how the next generation handles this field and contribute to high-impact projects.

You will write prompts, review model outputs for errors, and compose correct solutions grounded in real-world experience. Flexibility to work on diverse tasks is offered.

Qualifications

• Hands-on ML experience training, evaluating, or deploying models.
• Strong Python and ML stack familiarity (PyTorch or JAX).
• Clear written English; ability to explain complex issues simply.
• No degree required; focus on what you can do, not where you learned it.

Responsibilities

• Write prompts that probe model reasoning about ML systems.
• Review AI outputs for subtle errors and diagnose issues.
• Write correct solutions grounded in practitioner experience.

Skills

Python

Clear written English

ML reasoning

Education

No degree required

Tools

PyTorch

JAX

Job description

DataAnnotation seeks a Machine Learning Engineer to stress-test model reasoning about ML systems and to craft authoritative answers a strong practitioner would give. You will shape how the next generation handles this field and contribute to high-impact projects.

You will write prompts, review model outputs for errors, and compose correct solutions grounded in real-world experience. Flexibility to work on diverse tasks is offered.