Remote ML Systems Scientist — Probing Model Reasoning

DataAnnotation; Newark (NJ); Remote; USD 124,000 - 207,000; Full time

Benefits offered by this job

Remote-friendly

Flexible project-based work

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems, training dynamics, evaluation design, data pipelines, and deployment trade-offs.

You’ll write prompts that probe reasoning, review AI outputs for subtle errors, and craft correct solutions grounded in real practitioner experience. This remote-friendly role offers up to $150+ per hour, with strong emphasis on clear written English.

Qualifications

• Hands-on experience training, evaluating, or deploying models professionally or in serious personal work.
• Proficiency with Python and ML stacks (PyTorch or JAX).
• Excellent written English communication.

Responsibilities

• Write prompts that probe how models reason about training, evaluation, debugging, and productionizing ML systems.
• Review AI output for subtle errors and misdiagnosed issues.
• Write the correct solution grounded in real practitioner experience.

Skills

Python

PyTorch

JAX

Clear written English

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems, training dynamics, evaluation design, data pipelines, and deployment trade-offs.

You’ll write prompts that probe reasoning, review AI outputs for subtle errors, and craft correct solutions grounded in real practitioner experience. This remote-friendly role offers up to $150+ per hour, with strong emphasis on clear written English.