ML Systems Reasoning Engineer — Remote & Flexible

DataAnnotation; Green Bay (WI); Remote; USD 124,000 - 207,000; Full time

Benefits offered by this job

Remote work

Flexible projects

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning, evaluate ML pipelines, and craft robust prompts. You’ll write prompts that probe training, evaluation, debugging, and productionizing ML systems, and you’ll review outputs for subtle errors while providing grounded, correct solutions.

The role emphasizes hands-on model work, familiarity with Python and modern ML stacks like PyTorch or JAX, and clear written communication.

Qualifications

• Hands-on experience training, evaluating, or deploying ML models.
• Comfort with Python and modern ML stack (PyTorch/JAX).
• Clear written English; explanations serve as training signals.

Responsibilities

• Write prompts that probe model reasoning about ML systems.
• Review AI outputs for subtle errors in evaluation and training.
• Write correct solutions grounded in practitioner experience.

Skills

Prompts design

Model evaluation

Model debugging

Python

ML workflow

Tools

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning, evaluate ML pipelines, and craft robust prompts. You’ll write prompts that probe training, evaluation, debugging, and productionizing ML systems, and you’ll review outputs for subtle errors while providing grounded, correct solutions.

The role emphasizes hands-on model work, familiarity with Python and modern ML stacks like PyTorch or JAX, and clear written communication.