Gambaran peran
Hub Mexico City Corpshore AI menyediakan anotasi bahasa Spanyol Meksiko sebagai bagian dari program Spanyol LatAm perusahaan. Sebagai Mexican Spanish Data Labeler, Anda akan menandai dataset teks, gambar, dan ucapan ke taksonomi berversi di Jwuma, dengan memperhatikan kosakata dan penggunaan regional Meksiko.
Tanggung jawab utama
- 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
Apa yang kami cari
- 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
Bagus kalau ada
- Prior BPO, transcription or content-moderation experience
- Familiarity with retail, media or fintech terminology
- Exposure to a second LatAm Spanish variant
Kompensasi dan tunjangan
- 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
Pertanyaan umum
How do I apply for a data labeling job in Mexico City with Corpshore AI?
Apply through corpshore.ai/careers/roles, complete a short paid-style skills assessment and if selected you'll receive paid onboarding before starting live, billable annotation work.
Jwumasay joo-ma