ML Systems Engineer: Prompts, Debugging & Deployment (Remote)

DataAnnotation; New Mexico; Remote; USD 124,000 - 207,000; Full time

Benefits offered by this job

Flexible, remote work

Job summary

DataAnnotation 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.

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.
• No degree required.

Responsibilities

• Write prompts that probe how models reason about ML systems.
• Review AI output for subtle errors in evaluations and training.
• Write correct solutions grounded in practitioner experience.

Skills

Prompt engineering

Model evaluation

ML tooling

English writing

Education

No degree required

Tools

PyTorch

JAX

Job description

DataAnnotation 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.