Data Annotator

Role overview Produce clean, consistent labeled data and help assess the quality of AI-generated content. The work involves applying detailed instructions to varied material, checking outputs for accuracy and relevance, and contributing observations that can improve annotation practices and evaluation tools.

Responsibilities - Label and categorize text, images, and web content according to established criteria. - Review generated responses for relevance, accuracy, and overall quality. - Spot factual errors, unsupported claims, and other low-quality outputs; correct responses where required. - Apply tone, style, and factual standards consistently across assignments. - Run dataset quality checks, flag issues, and organize completed work for timely delivery. - Share feedback on annotation guidelines and help test tools used for training and evaluation.

Requirements - Strong reading comprehension and written English. - High attention to detail and consistency across repetitive assignments. - Ability to follow precise instructions, including lengthy or complex guidelines. - Critical thinking to recognize errors, omissions, or gaps in information. - Comfort using spreadsheets, documents, and online tools. - Ability to work independently, meet deadlines, and maintain a reliable remote setup with stable internet.

Benefits and work setup - Remote freelance work four days per week, scheduled 12:00 a.m.–6:00 a.m. UTC+8. - Structured tasks, clear guidelines, and a steady workload. - Opportunity to progress into a senior role.