ML Systems Reasoning Engineer — Remote, Flexible Projects

DataAnnotation; King of Prussia (PA); Remote; USD 170,000 - 243,000; Full time

Benefits offered by this job

Flexible remote work

Project-based work

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to craft responsible, practical answers for real-world deployment. You’ll engage with prompts, review outputs for errors, and write the correct solution based on hands-on practitioner experience.

The role emphasizes Python and PyTorch or JAX, clear English communication, and the ability to work remotely on diverse tasks with flexible project scope.

Qualifications

• Hands-on experience training, evaluating, or deploying models.
• Comfort with the modern ML stack; Python and PyTorch or JAX.
• Clear written English: explanations are the training signal.

Responsibilities

• Write prompts that probe model reasoning about ML systems.
• Review AI output for subtle errors and misdiagnoses.
• Write the correct solution when the model falls short, grounded in practice.

Skills

Python

PyTorch

JAX

Tools

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to craft responsible, practical answers for real-world deployment. You’ll engage with prompts, review outputs for errors, and write the correct solution based on hands-on practitioner experience.

The role emphasizes Python and PyTorch or JAX, clear English communication, and the ability to work remotely on diverse tasks with flexible project scope.