Remote AI Trainer & Evaluator (Freelance, Flexible Hours)

prolificacademicltd; United States; Remote; USD 28,000 - 40,000; Full time

Benefits offered by this job

Task-based pay

Fully remote

Fast onboarding

Impact on AI models

Job summary

Prolific Academic Ltd is seeking a freelance participant to help train and evaluate next-generation AI models from a home setup. After a quick skills test, you join a global pool matched with paid research tasks. Engagement is task-based, fully remote, and structured as self-employment.

Responsibilities include performing AI training tasks, annotating data, and providing structured feedback to improve model performance. Flexible hours and fast onboarding are highlighted.

Qualifications

• Verifiable professional experience as an AI trainer or on equivalent AI training tasks.
• Strong attention to detail and concentration for hour-long assignments.
• A reliable broadband connection and a working computer for online research.
• Willingness to operate as a self-employed participant, including self-declaring income.
• An active PayPal account for receiving payments.

Responsibilities

• Carry out AI training tasks such as analyzing, editing, and writing annotations.
• Judge the performance of AI systems on specific tasks and provide structured human feedback.
• Contribute to improving the behavior and accuracy of new AI models.
• Sit a brief 10–15 minute verification test to confirm suitability for the participant pool.
• Complete individual research assignments, with some requiring up to an hour of uninterrupted work.

Skills

AI trainer experience

Attention to detail

Self-employment readiness

PayPal payments

Reliable broadband

Job description

Prolific Academic Ltd is seeking a freelance participant to help train and evaluate next-generation AI models from a home setup. After a quick skills test, you join a global pool matched with paid research tasks. Engagement is task-based, fully remote, and structured as self-employment.

Responsibilities include performing AI training tasks, annotating data, and providing structured feedback to improve model performance. Flexible hours and fast onboarding are highlighted.