Remote ML Systems Engineer: Prompting & Evaluation

DataAnnotation; Madison (SD); Remote; USD 170.000 - 243.000; Teilzeit

Benefits dieser Stelle

Remote work

Competitive hourly rate

Project-based earnings potential

Zusammenfassung

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to write the answers a strong practitioner would give, shaping how the next generation handles the field.

You will write prompts that probe training, evaluation, debugging, and productionizing ML systems, review AI outputs for subtle errors, and craft correct solutions grounded in real-world practitioner experience. Remote, project-based work with strong earnings potential.

Qualifikationen

• Hands-on experience training, evaluating, or deploying models professionally or in serious personal work.
• Comfort with the modern ML stack; most tasks assume Python and PyTorch or JAX.
• Clear written English: your explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it.

Aufgaben

• 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.

Kenntnisse

Hands-on ML experience

Python

PyTorch

JAX

Clear written English

Tools

Python

PyTorch

JAX

Jobbeschreibung

DataAnnotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems and to write the answers a strong practitioner would give, shaping how the next generation handles the field.

You will write prompts that probe training, evaluation, debugging, and productionizing ML systems, review AI outputs for subtle errors, and craft correct solutions grounded in real-world practitioner experience. Remote, project-based work with strong earnings potential.