Remote Mexican Spanish AI Annotation Specialist

Mercor; Xico; Remote; MXN 307,000 - 461,000; Part time

Job summary

Mercor is hiring an AI Session Annotator (Mexican Spanish) for remote work on a contract basis. You will review AI sessions, compare responses to video content, and score for accuracy, timing, and safety warnings.

The role requires native Mexican Spanish, clear written Spanish, an Android phone with camera and mic, strong attention to detail, and good English reading skills. Immediate start with a high volume of sessions (26–31 Aug window) and detailed comment-based scoring.

Qualifications

• Native or native-level Mexican Spanish, spoken and written.
• Clear, precise written Spanish.
• An Android phone with a working camera and microphone.
• Attention to detail and consistent rubric application.
• Professional English reading comprehension.

Responsibilities

• Review recorded sessions where users interact with an AI assistant via voice and camera.
• Compare assistant responses with visible video content, identifying hallucinated or fabricated details.
• Score sessions on visual interpretation, accuracy, relevance, and response timing.
• Evaluate the assistant's use of spatial and directional language and its warnings on health, safety, or financial security.
• Write detailed comments supporting each score with evidence from the session.
• Capture conversation turns in the intake form.

Skills

Native Mexican Spanish

Clear written Spanish

Android phone with camera and mic

Attention to detail

Professional English reading

Job description

Mercor is hiring an AI Session Annotator (Mexican Spanish) for remote work on a contract basis. You will review AI sessions, compare responses to video content, and score for accuracy, timing, and safety warnings.

The role requires native Mexican Spanish, clear written Spanish, an Android phone with camera and mic, strong attention to detail, and good English reading skills. Immediate start with a high volume of sessions (26–31 Aug window) and detailed comment-based scoring.