Mexican Spanish Data Labeler

Corpshore AI's Mexico City hub delivers Mexican Spanish annotation as part of the company's LatAm Spanish program. As a Mexican Spanish Data Labeler, you'll label text, image, and speech datasets to a versioned taxonomy in Jwuma, with attention to Mexican regional vocabulary and usage.

Key responsibilities

• Label Mexican Spanish and English text, image, or audio data to project-specific guidelines
• Apply regional-vocabulary awareness where Mexican Spanish variants matter to a project
• Peer-review completed batches before QA handoff
• Flag ambiguous items or unclear instructions to QA leads
• Sustain 97%+ accuracy against gold-standard benchmark sets

What we look for

• Native or near-native Mexican Spanish; working English for tools and instructions
• Strong attention to detail on structured, repetitive digital tasks
• Comfortable learning new annotation tools and taxonomies (paid training provided)
• Available onsite at the Mexico City hub on a standard shift schedule
• Reliable and consistent with weekly throughput targets

Nice to have

• Prior BPO, transcription, or content-moderation experience
• Familiarity with retail, media, or fintech terminology
• Exposure to a second LatAm Spanish variant

Compensation and benefits

• Hourly contract pay via Jwuma, weekly payout cycle
• Paid onboarding on taxonomy and annotation tools
• Growth path to QA reviewer or team lead
• Onsite facilities at the Mexico City delivery hub

Common questions