E-Commerce Search Relevance Annotator
Review search queries and e-commerce products and judge how well they match. Remote annotation project, available in French, Spanish and Swedish.
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Review search queries and e-commerce products and judge how well they match. Remote annotation project, available in French, Spanish and Swedish.
Evaluate how well retrieved content matches a user's search intent and assign relevance scores against project guidelines. Remote annotation work supporting multilingual search across several European languages.
Identify text inside images, organize it into semantic lines, and transcribe it accurately to build training data for text-recognition technology. Remote, detail-focused annotation work.
Review machine-processed documents and correct text, tables, layouts and formulas so the resulting training data is accurate. Remote, detail-focused annotation work where precision matters more than speed.
Evaluate multilingual AI reference responses and scoring rubrics, identify critical errors, and improve evaluation quality. Flexible remote work across seven selected language and location options.
Review multilingual AI outputs, identify quality trends, and provide structured feedback as a remote Independent Quality Assurance reviewer. Native speakers across selected locations; 20–30 hours per week.
Draw boxes around fields, checkboxes, and labels in digital forms, then assign the correct field type. Remote, flexible work for native speakers in eleven languages; no prior annotation experience required.
Write and review English annotations that reflect Singaporean culture, social norms, and everyday perspectives. Open to native-level English speakers who currently live in Singapore.
Complete short online tasks such as search evaluation, image labeling, and content review through UHRS. Open to applicants in eligible countries with a verified phone number and Microsoft account.
Review and label text in your native language using detailed project guidelines. Open to applicants living in target countries who can read English instructions and communicate with the project team.
Label user requests and AI responses so language systems can interpret intent more accurately. Remote work for native speakers who can complete onboarding and contribute 30–50 hours per month.
Compare source and translated paragraphs, judge acceptability, and match text using clear evaluation criteria. Remote task-based work for native or fluent speakers of the listed languages.
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