Freelance AI Trainer - Remote, Flexible Hours, Paid Tasks

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

Benefits offered by this job

Fully remote

Flexible hours

Quick onboarding

Hourly pay up to $25

Job summary

prolificacademic ltd offers a fully remote freelance opportunity for experienced AI trainers. Join a paid expert pool with flexible hours, working from home and self-employed status.

This role requires applying professional judgement to shape the behaviour and quality of next-generation AI systems and to assess model outputs. Responsibilities include annotation, analysis, and editing of outputs; evaluating AI performance; and providing structured feedback.

Qualifications

• Verifiable professional experience as an AI trainer or in a directly comparable role.
• Willingness to sit a short skills assessment before onboarding.
• Strong attention to detail and the ability to concentrate on complex problems for sustained periods.
• A reliable, fast internet connection and access to a suitable computer.
• Comfort with self-employed status, including the need to self-declare earnings.
• A PayPal account for receiving client payments.

Responsibilities

• Complete paid AI training tasks including annotation, analysis, and editing of model outputs.
• Evaluate and judge the performance of AI systems against defined criteria.
• Provide structured feedback that helps refine and improve model behaviour.
• Pass an initial 10–15 minute skills verification test before joining the participant pool.
• Commit to focused, uninterrupted work sessions of up to one hour per task.

Skills

AI trainer experience

Annotation

Model evaluation

Attention to detail

Reliable internet

Freelance status

PayPal access

Tools

PayPal account

Job description

prolificacademic ltd offers a fully remote freelance opportunity for experienced AI trainers. Join a paid expert pool with flexible hours, working from home and self-employed status.

This role requires applying professional judgement to shape the behaviour and quality of next-generation AI systems and to assess model outputs. Responsibilities include annotation, analysis, and editing of outputs; evaluating AI performance; and providing structured feedback.