Healthcare AI Call QA Labeler – Central American Spanish

Healthcare AI Call QA Labeler – Central American Spanish About the Role What if your fluency in Central American Spanish and your understanding of real healthcare conversations could directly shape how AI assistants interact with patients? We're looking for thorough QA labelers in the Houston area — one of the largest Central American diaspora communities in the US — to evaluate and annotate AI healthcare call transcripts in Central American Spanish. This means assessing the nuanced reality of healthcare communication as spoken in Honduras, Guatemala, and El Salvador: identifying where the AI handles patient concerns appropriately, where audio quality affects understanding (coughs, mumbles, whispers), how the AI manages scheduling and patient education, and whether responses align with care protocols. If you have a sharp ear for Central American Spanish nuance and the patience to evaluate every interaction carefully, this role is for you. This is a fully remote, flexible contract role. No prior AI experience needed — just native or near-native Central American Spanish fluency, strong communication skills, and the ability to follow detailed evaluation guidelines. Organization : Labelbox Type : Hourly Contract Location : Remote Commitment : Flexible hours What You'll Do Review transcripts of AI-assisted healthcare calls and evaluate interaction quality Assess how the AI handles patient responses, including unclear or difficult audio conditions Identify whether the AI correctly confirms key patient information (date of birth, appointment details, etc.) Evaluate the AI's ability to address patient health concerns while staying within appropriate boundaries Assess the clarity and completeness of information provided to patients about scheduling and next steps Follow detailed annotation guidelines and labeling conventions consistently across all calls Flag instances where the AI response may be unclear or where patient confusion occurs Maintain high accuracy and consisten