Remote ML Systems Prompt Engineer

DataAnnotation; Waterbury (VT); Remote; USD 170,000 - 243,000; Full time

Benefits offered by this job

Flexible remote work

Project-based tasks

Job summary

DataAnnotation is seeking an ML Engineer to stress-test model reasoning about training dynamics, evaluation design, data pipelines, and deployment trade-offs. You’ll craft prompts, assess model outputs, and write principled solutions based on real-world practice.

The role emphasizes hands-on ML work, Python with PyTorch or JAX, and clear English communication. Remote-friendly with flexible, project-based tasks and competitive compensation.

Qualifications

• Hands-on experience training, evaluating, or deploying models.
• Proficient with Python and ML frameworks (PyTorch or JAX).
• Clear written English.
• No degree required.

Responsibilities

• Write prompts that probe how models reason about ML systems.
• Review AI output for subtle errors and misdiagnosed training failures.
• Write the correct solution when the model falls short, grounded in practitioner experience.

Skills

Hands-on ML experience

Clear written English

Education

No degree required

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is seeking an ML Engineer to stress-test model reasoning about training dynamics, evaluation design, data pipelines, and deployment trade-offs. You’ll craft prompts, assess model outputs, and write principled solutions based on real-world practice.

The role emphasizes hands-on ML work, Python with PyTorch or JAX, and clear English communication. Remote-friendly with flexible, project-based tasks and competitive compensation.