Remote ML Engineer & AI Evaluation Architect

DataAnnotation; Louisiana; Remote; USD 170,000 - 243,000; Full time

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and write practical solutions grounded in real practitioner experience. You’ll work on prompts, model reviews, and crafting correct outputs for complex ML tasks.

You'll engage with the modern ML stack, including Python and PyTorch or JAX, and you can work remotely with flexible hours. No degree is required; hands-on capability matters most.

Qualifications

• Hands-on experience training, evaluating, or deploying models.
• Comfort with 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 training, evaluation, debugging, and productionizing ML systems.
• Review AI output for subtle errors: leaky evaluations, wrong loss formulations, and misdiagnosed training failures.
• Write the correct solution when the model falls short, grounded in real practitioner experience.

Skills

Hands-on ML

Python

English proficiency

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and write practical solutions grounded in real practitioner experience. You’ll work on prompts, model reviews, and crafting correct outputs for complex ML tasks.

You'll engage with the modern ML stack, including Python and PyTorch or JAX, and you can work remotely with flexible hours. No degree is required; hands-on capability matters most.