Uyghur Bilingual Expert - Remote

Job Description

Job Title: Uyghur Bilingual Expert

Job Type: Contract

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 and annotate Uyghur-language video content with high accuracy, clearly outlining precise timestamps.
• Describe and interpret the emotionality and tone of speakers, providing nuanced insights for AI training.
• Analyze and evaluate grammar, syntax, and linguistic structures in both Uyghur and English materials.
• Define the conceptual aspects and contextual meanings of complex words and phrases.
• Deliver comprehensive language analysis, supporting various advanced linguistic tasks as needed.
• Ensure the clarity and quality of all written and verbal communications, upholding industry standards.
• Commit to at least 15 hours of dedicated work per week, consistently meeting deadlines and quality expectations.

Required Skills and Qualifications:

• Exceptional bilingual proficiency in Uyghur and English, with demonstrated expertise in both languages.
• Excellent written and verbal communication skills, with attention to clarity, detail, and emotional nuance.
• Extensive experience in transcription, annotation, or linguistic analysis.
• Strong ability to interpret grammar, tone, and context within multimedia content.
• Capacity to distill complex language concepts for technical or non-technical audiences.
• High degree of reliability, autonomy, and commitment to delivering quality results.
• Ability to work independently in a remote setting, maintaining consistent productivity.

Preferred Qualifications:

• Prior experience in language data annotation, localization, or translation projects.
• Background in linguistics or related fields with a focus on Central Asian languages.
• Familiarity with AI, machine learning, or speech recognition technologies.