Remote ML Systems Scientist

DataAnnotation; Phoenix (AZ); Remote; USD 170,000 - 243,000; Full time

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to craft strong answers from real practitioner experience. You’ll shape how the next generation handles this field, focusing on practical, hands-on work.

The role emphasizes Python and PyTorch/JAX, clear English communication, and a flexible, remote environment. No degree is required, and compensation is task-based with potential for substantial earnings.

Qualifications

• Hands-on experience training, evaluating, or deploying ML models.
• Proficiency with Python and ML frameworks (PyTorch/JAX).
• Clear written English and ability to explain complex results.

Responsibilities

• Write prompts that probe how models reason about training, evaluation, and productionizing 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

Python

PyTorch

JAX

English communication

Tools

PyTorch

JAX

Python

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to craft strong answers from real practitioner experience. You’ll shape how the next generation handles this field, focusing on practical, hands-on work.

The role emphasizes Python and PyTorch/JAX, clear English communication, and a flexible, remote environment. No degree is required, and compensation is task-based with potential for substantial earnings.