Turkish & Arabic Data Annotator

Istanbul is Corpshore AI's MENA-bridging hub, delivering Turkish annotation alongside Arabic-language coverage across Modern Standard Arabic (MSA) and regional dialects. As a Turkish & Arabic Data Annotator, you'll label text, speech, and multimodal datasets to a versioned taxonomy for global AI clients.

Key responsibilities

• Annotate Turkish and/or Arabic (MSA and regional dialect) text, audio, or image data in Jwuma
• Apply dialect-aware labeling guidance where projects require regional Arabic variants
• Peer-review teammates' completed batches ahead of QA handoff
• Flag ambiguous items or taxonomy gaps to QA leads
• Maintain 97%+ accuracy against gold-standard benchmark sets

What we look for

• Native or near-native Turkish and/or Arabic (MSA plus a regional dialect a plus)
• Strong written and spoken English for taxonomy instructions
• High attention to detail and comfort with structured, repetitive digital tasks
• Available onsite at the Istanbul hub on a standard shift schedule
• Comfortable learning annotation tools (full training provided)

Nice to have

• Bilingual Turkish/Arabic fluency
• Prior BPO, translation, or transcription experience
• Familiarity with a specific Arabic regional dialect (Gulf, Levantine, Egyptian, Maghrebi)

Compensation and benefits

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

Common questions