ML Systems Reasoning Engineer (Remote, Flexible Projects)

DataAnnotation; Honolulu (HI); Remote; USD 170,000 - 243,000; Full time

Benefits offered by this job

Flexible, remote work

Job summary

DataAnnotation is hiring a Machine Learning Engineer to stress-test model reasoning about ML systems, training dynamics, evaluation design, data pipelines, and deployment trade-offs. You will write prompts and review AI outputs, shaping how the next generation handles practical ML challenges.

Hands-on experience training, evaluating, or deploying models is required, with proficiency in Python and PyTorch or JAX. Clear written English is essential; no degree is required.

Qualifications

• Hands-on experience training, evaluating, or deploying models professionally or in serious personal work.
• Proficiency with Python and ML frameworks such as PyTorch or JAX.
• Fluent written English.
• No degree required; demonstrable ability matters more than formal education.

Responsibilities

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

Skills

Hands-on ML experience

Clear written English

No degree required

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is hiring a Machine Learning Engineer to stress-test model reasoning about ML systems, training dynamics, evaluation design, data pipelines, and deployment trade-offs. You will write prompts and review AI outputs, shaping how the next generation handles practical ML challenges.

Hands-on experience training, evaluating, or deploying models is required, with proficiency in Python and PyTorch or JAX. Clear written English is essential; no degree is required.