Job Title: Japanese Language Expert Job Type: Part-time Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Armenian Bilingual Expert
Job description
Job Title: Armenian Bilingual Expert
Job Type: Contract (Full-Time or Part-time)
Location: Remote
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities
- Transcribe spoken Armenian content from videos with impeccable accuracy, clearly marking detailed timestamps.
- Analyze and describe speaker emotions, conveying subtle shifts in tone and intent.
- Evaluate and articulate grammatical constructs and word choices within complex language tasks.
- Define conceptual meanings of words and phrases, providing contextually relevant explanations.
- Deliver clear, well-organized written feedback and documentation suited for diverse audiences.
- Collaborate with team members to ensure linguistic quality standards are consistently met.
- Dedicate at least 15 hours per week to assigned tasks, demonstrating reliability and commitment.
Required Skills and Qualifications
- Native or near-native fluency in both Armenian and English, with exceptional command of grammar and vocabulary.
- Outstanding written and verbal communication abilities, attentive to detail and nuance.
- Demonstrated experience with transcription, translation, or language analysis tasks.
- High degree of cultural awareness and sensitivity to the subtleties of both languages.
- Proficiency in using digital communication and collaboration tools in a remote work environment.
- Strong analytical skills for evaluating tone, intent, and emotional expression in dialogue.
- Ability to meet deadlines and manage time effectively with minimal supervision.
Preferred Qualifications
- Prior experience working on multimedia language projects or linguistic research.
- Background in language education, applied linguistics, or a related field.
- Familiarity with advanced transcription and annotation software.
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