AI Data Quality Reviewer

Talent Hackers · Remote – Worldwide (US Eastern hours)

No eligible countries named in the advert, so confirm that Zimbabwe-based applicants are accepted. Posted about 2 months ago. Pay not stated.

Full-time reviewer checking text and video submissions for AI training datasets against project guidelines, approving or rejecting work and giving feedback. Suspicious or low-quality submissions get flagged for escalation.

Requirements

• 1–3+ years in data annotation, QA, content moderation, trust & safety or similar high-volume review work
• Experience reviewing others' work against rubrics/SOPs
• Strong attention to detail and consistent judgement
• Strong (C-level) written and spoken English
• Full-time on US Eastern (EST) hours

Documents

• CV/Resume
• LinkedIn profile URL

Original advert: talenthackers.applytojob.com