Remote ML Systems Engineer: Prompting & Debugging

DataAnnotation; Groton (CT); Remote; USD 170,000 - 243,000; Full time

Job summary

DataAnnotation is where 1M+ experts train the world’s leading AI models. We’re seeking a Machine Learning Engineer to stress-test how models reason about ML systems, and to shape the field by writing prompts, reviewing outputs, and supplying correct solutions grounded in real practitioner experience.

You’ll work with Python and PyTorch or JAX, communicate clearly in English, and contribute to project-based, flexible, remote collaboration.

Qualifications

• Hands-on experience training, evaluating, or deploying models.
• Proficiency with Python and PyTorch or JAX.
• Clear written English.
• No degree required. We care about what you can do, not where you learned it.

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 model development

Python

PyTorch/JAX

English proficiency

No degree required

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is where 1M+ experts train the world’s leading AI models. We’re seeking a Machine Learning Engineer to stress-test how models reason about ML systems, and to shape the field by writing prompts, reviewing outputs, and supplying correct solutions grounded in real practitioner experience.

You’ll work with Python and PyTorch or JAX, communicate clearly in English, and contribute to project-based, flexible, remote collaboration.