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Annotate, categorize, and validate multimodal datasets, including text, images, spreadsheets, and structured documents, following project guidelines and quality benchmarks. Review AI model outputs for accuracy, coherence, alignment, and formatting, and identify ambiguities and inconsistencies to improve labeling taxonomies.
Responsibilities
- Annotate, categorize, and validate multimodal datasets, including text, images, spreadsheets, and structured documents, following project guidelines and quality benchmarks. Review AI model outputs for accuracy, coherence, alignment, and formatting, and identify ambiguities and inconsistencies to improve labeling taxonomies.
Requirements
- Candidates need exceptional attention to detail, reading comprehension, and analytical evaluation skills, along with native or professional-level written and spoken English. Prior experience in data annotation, quality assurance, data review, or content evaluation is preferred; applicants must reside in the United States or Canada and have reliable high-speed internet and a home office setup.
Key Skills
About Hire Feed
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