Machine Learning Engineer (AI Training)

DataAnnotation; Irlande; À distance; EUR 111 000 - 184 000; Temps partiel

Avantages offerts par ce poste

Flexible hours

Weekly payouts

Remote work

Résumé du poste

DataAnnotation is hiring a Machine Learning Engineer to stress-test how models reason about ML systems, from training through deployment, and to craft practical, well-grounded answers for real-world use.

You will write prompts, review model outputs for subtle errors, and supply correct, practitioner-based solutions when models fall short. This role emphasizes hands-on work, remote-friendly project-based contributions, and clear English communication.

Qualifications

• Hands-on experience training, evaluating, or deploying models.
• Proficient with Python; PyTorch or JAX.
• Clear written English.
• No degree required.

Responsabilités

• Write prompts to 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.

Connaissances

Python

ML deployment

Model evaluation

English writing

Hands-on ML

Formation

No degree required

Outils

PyTorch

JAX

Description du poste

Overview

Models are surprisingly bad at reasoning about themselves: training dynamics, evaluation design, data pipelines, and deployment trade-offs. Plausible-sounding ML advice is often subtly wrong. 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.

What you'll actually do

• 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.

Roles this fits

Common backgrounds: ML Engineer, MLOps Engineer, Applied Scientist.

What we look for

• 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.

Compensation

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

• Hourly rate up to $150+ / hour
• Commitment Flexible hours
• Type Independent contractor
• Payouts Weekly
• Flexible, remote, and always project-available.

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.