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AI Training Experts - Auckland, New Zealand

Other Full-time Permanent New Zealand

Job details

$25/hr Salary
New Zealand Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview An AI-focused human data platform is seeking experienced trainers in or near Auckland, New Zealand to help evaluate and refine cutting-edge machine learning models. Selected candidates join a self-employed participant pool and complete paid, task-based assignments that supply researchers with the human feedback essential to model improvement. The position is remote and centered on short, focused contributions rather than fixed schedules.

Responsibilities - Carry out AI training tasks that include analyzing, editing, and writing annotations on model outputs - Judge AI performance across diverse prompts and submit structured evaluations - Identify factual errors, unsafe content, and quality issues to support better model alignment - Contribute well-labeled data that helps researchers benchmark and improve model behavior

Requirements - Verifiable professional experience as an AI trainer or in data annotation, evaluation, or related quality work - Willingness to complete a 10–15 minute skills assessment before being added to the participant pool - Sharp attention to detail and the ability to concentrate for up to an hour on demanding tasks - A reliable, fast internet connection and a suitable personal computer - A PayPal account to receive per-task payments - Comfort with self-employed contractor status and self-reporting earned income

Nice to have - Experience rating generative AI outputs for quality, safety, or helpfulness - Background in prompt engineering, content moderation, linguistics, or research support

Benefits and work setup - Fully remote work with flexible hours and task-based compensation, generally up to $25 per hour - Quick onboarding that lets qualified participants start shortly after passing the assessment - The opportunity to directly influence the accuracy and alignment of next-generation AI systems

Detected Sep 18, 2026
Last verified Sep 18, 2026

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