Hindi Annotator — Text Review Project (US-based, Remote)

BLEND is hiring expert bilingual annotators for a short, fast-turnaround data labeling project in the medical AI space.Languages needed: Hindi and EnglishThe workYou'll review short transcript snippets in your target language, identify text containing protected health information (PHI), and classify each instance using a defined taxonomy. Full instructions and training materials are provided before you begin.Volume: ~100 cases total across the teamApprox. 10 minutes per caseExpected commitment: ~3 hours of labeling per annotatorWork is completed entirely on a mobile app (iOS or Android) — a smartphone is requiredHourly, time-tracked in-platformRequirementsBased in the United States (U.S. territory — non-negotiable, client requirement)Expert-level fluency in Hindi and EnglishiOS or Android smartphoneWilling to sign a BAA (healthcare data confidentiality agreement) in-appWilling to sign an AI-tool attestation: use of ChatGPT, Claude, or any generative AI/LLM on this project is strictly prohibited and results in immediate removal and non-paymentCompletion of a short integrity screen (10–15 min, unpaid, one-time — valid for future projects too)Good to know before applyingOnly active labeling time is tracked and paid; time spent reading instructions or training is not compensatedTimeline: Onboarding and QA alignment happen immediately; labeling runs through the end of this week. Apply only if you can start right away.