Healthcare AI Call Reviewer – Central American Spanish

Healthcare AI Call Reviewer – Central American Spanish
About the Role
What if your fluency in Central American Spanish and your understanding of how patients really communicate could directly improve AI healthcare tools used by millions? We're looking for careful, detail-oriented QA labelers — fluent in Honduran, Guatemalan, or Salvadoran Spanish — to review and annotate AI healthcare call transcripts.
Miami's large and growing Central American community brings exactly the linguistic depth and cultural familiarity this project requires. You'll evaluate real AI-assisted healthcare call transcripts, assessing how well the AI handles patient concerns, manages ambiguous audio, confirms critical patient information, and communicates clearly about scheduling and next steps — all through the lens of authentic Central American Spanish.
This is a fully remote, flexible contract role. No prior AI or healthcare industry experience is required — just genuine fluency in Central American Spanish and a systematic, thorough approach to evaluation.

• Organization : Labelbox

• Type : Hourly Contract

• Location : Remote

- Commitment : Flexible hours

• Commitment : Flexible hours

• Review transcripts of AI-assisted healthcare calls and evaluate interaction quality

• Assess how the AI handles patient responses, including unclear or difficult audio conditions such as coughs, mumbles, or whispers

• 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 consistency across large volumes of call transcripts

- Work independently on your own schedule

• Work independently on your own schedule

• Native or near-native fluency in Central American Spanish (Honduras, Guatemala, or El Salvador) — both speaking and writing

• Excellent attention to detail with a systematic approach to evaluation work

• Naturally critical thinker who can assess communication quality and identify gaps

• Comfortable analyzing healthcare-related conversations and medical terminology in Central American Spanish

• Able to follow detailed labeling and annotation guidelines accurately and consistently

• Self-motivated and reliable when working independently

- Access to a quiet workspace, reliable internet, and a computer

• Access to a quiet workspace, reliable internet, and a computer

• Professional experience in healthcare, customer service, or patient communication

• Background in quality assurance, content moderation, or data annotation

• Training or education in healthcare administration or patient care

• Prior work with annotation platforms or data labeling tools

• Experience with medical terminology and healthcare workflows in Spanish

• Familiarity with scheduling systems or appointment management

- Understanding of Central American healthcare systems or insurance processes

• Understanding of Central American healthcare systems or insurance processes

• Work on cutting-edge AI healthcare projects that directly improve patient interactions

• Fully remote and flexible — work when and where it suits you

• Freelance autonomy with clear, structured tasks

• Contribute to AI development that helps healthcare teams serve patients better

• Build skills in a growing field at the intersection of healthcare and AI

- Potential for ongoing work and contract extension as new projects launch

• Potential for ongoing work and contract extension as new projects launch

• Scope : 2,500 call transcripts to evaluate

• Estimated time per transcript : Approximately 20 minutes

• Timeline : Still being finalized

• Total estimated hours : Approximately 1,250–1,667 hours (flexible scheduling)