ML Systems Engineer: Prompting & Validation (Remote)

DataAnnotation; Miami (FL); Remote; USD 165,000 - 248,000; Full time

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning on ML systems, from training through deployment, and to craft practical, well-founded answers for real-world scenarios.

You will write prompts, review outputs for subtle errors, and write the correct solution where the model falls short, drawing on hands-on experience across the modern ML stack, primarily Python with PyTorch or JAX. This is a flexible, remote opportunity with strong project availability.

Qualifications

• Hands-on experience training, evaluating, or deploying ML models in professional or serious personal projects.
• Good written English and ability to explain complex concepts clearly.
• No degree required – focus on what you can do.

Responsibilities

• Write prompts to probe model reasoning on training, evaluation, debugging, and productionizing ML systems.
• Review AI output for errors and misconfigurations.
• Produce correct solutions grounded in practitioner experience.

Skills

Prompt writing

Model review

Documentation

Python

PyTorch

JAX

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test model reasoning on ML systems, from training through deployment, and to craft practical, well-founded answers for real-world scenarios.

You will write prompts, review outputs for subtle errors, and write the correct solution where the model falls short, drawing on hands-on experience across the modern ML stack, primarily Python with PyTorch or JAX. This is a flexible, remote opportunity with strong project availability.