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Bilingual Evaluator - Telugu Expert

Job in Dubai, Dubai, UAE/Dubai
Listing for: Obsidian
Full Time position
Listed on 2026-06-05
Job specializations:
  • Social Work
    Bilingual
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below

PLEASE NOTE: You must take the Bilingual Competency interview in Telugu to be considered for this role.

Location: Global

Type: Contract Work

Fluent Language

Skills Required:

Telugu (native fluency) and English (strong proficiency)

Why this role matters

Your job is to assess Telugu AI-generated responses and identify specific strengths and areas of improvement for these responses – your work will be used to create the 'perfect AI-generated response' at a later stage of this project. Note the analysis you create will be in English.

What You'll Do
  • Conduct fact-checking using trusted public sources and external tools
  • Generate high-quality human evaluation data by identifying response strengths, areas for improvement, and factual inaccuracies
  • Assess reasoning quality, clarity, tone, and completeness of responses
  • Ensure model responses align with expected conversational behavior and system guidelines
Who You Are
  • You hold a Bachelor's degree
  • You are a native speaker in Telugu
  • You have significant experience using large language models (LLMs) and understand how and why people use them
  • You have excellent writing skills in English and can clearly articulate nuanced feedback
  • You have strong attention to detail and consistently notice subtle issues others may overlook
  • You have a background or experience in domains requiring structured analytical thinking (e.g., research, policy, analytics, linguistics, engineering)
Nice-to-Have Specialties
  • Prior experience with RLHF, model evaluation, or data annotation work
  • Experience writing or editing high-quality written content
  • Experience comparing multiple outputs and making fine-grained qualitative judgments
What Success Looks Like
  • You identify factual inaccuracies, reasoning errors, and communication gaps in model responses
  • You produce clear, consistent, and reproducible evaluation artifacts
  • Your feedback leads to measurable improvements in response quality and user experience
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