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Prolificvia Greenhouse

AI Training - Machine Learning Specialist (EST)

REMOTEPosted 1mo ago
ML EngineerMid LevelFull-time

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About the Role

AI Trainer – Machine Learning Specialists

About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We’re looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you’ll bring

  • AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)

  • A willingness to take our skills verification test to assess your suitability for our participant pool

  • Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

  • A reliable and fast internet connection and access to a computer

  • A willingness to self-declare your earnings, as our participants are self-employed

  • A Paypal account to receive payment from our clients

What you’ll be doing in the role

  • Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)

  • Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)

  • Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth

Key Technologies

  • General AI Training

  • Model Evaluation and Evals

  • Trust and Safety

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