ML Systems Engineer: Prompts, Debugging & Deployment; Remote

Data Annotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to write practitioner-grade answers. You will craft prompts, review model outputs for subtle errors, and write correct solutions grounded in real-world experience.

The role emphasizes hands-on work with Python and modern ML stacks, remote work flexibility, and project-based contributions, with compensation aligned to task complexity.

We would love to welcome a new ML Systems Engineer:
Prompts, Debugging & Deployment (Remote) to our organisation in NM, United States.

Are you ready to take on the ML Systems Engineer:
Prompts, Debugging & Deployment (Remote) role at Data Annotation?

We would love to welcome a new ML Systems Engineer:
Prompts, Debugging & Deployment (Remote) to our team in NM, United States.

For the ML Systems Engineer:
Prompts, Debugging & Deployment (Remote) position at Data Annotation, we are reviewing applications now.