Remote ML Systems Prompt Engineer

DataAnnotation; Houma (LA); Remote; USD 96,000 - 248,000; Part time

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning on ML systems and craft authoritative answers reflecting practitioner experience. You’ll focus on prompts, evaluation, and robust problem-solving in a flexible, remote setting.

Contributors often work on diverse tasks with Python, PyTorch, or JAX, shaping practical ML tooling and deployment strategies for real-world models.

Qualifications

• Hands-on experience training, evaluating, or deploying models professionally or in serious personal projects.
• Comfort with the modern ML stack; Python and PyTorch or JAX are common.
• Clear written English: explanations are the training signal.

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

Prompt engineering

Model evaluation

Python

Tools

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning on ML systems and craft authoritative answers reflecting practitioner experience. You’ll focus on prompts, evaluation, and robust problem-solving in a flexible, remote setting.

Contributors often work on diverse tasks with Python, PyTorch, or JAX, shaping practical ML tooling and deployment strategies for real-world models.