Machine Learning Scientist - AI Trainer

As a Machine Learning Engineer you’ll stress-test how models reason about ML systems and write the answers a strong practitioner would give, shaping how the next generation handles your field., * 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.

• 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.

Up to $150+/hr depending on task difficulty and specialization. Many contributors add $100k-$200k a year; some make it their full-time income.

About DataAnnotation

DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available. #J-18808-Ljbffr