Urdu Language Evaluator for AI Model Training

This position involves assessing AI-generated responses in Urdu, pinpointing strengths and areas for improvement. Your analysis will contribute to the development of optimal AI-generated responses in future project phases, with your findings documented in English.

• 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.

• Bachelor''s degree.
• Native speaker of Urdu.
• Significant experience using large language models (LLMs) and an understanding of their applications.
• Excellent writing skills in English, with the ability to articulate nuanced feedback clearly.
• Strong attention to detail, with a knack for noticing subtle issues.
• Background or experience in fields requiring structured analytical thinking, such as research, policy, analytics, linguistics, or engineering.

• Prior experience with reinforcement learning from human feedback (RLHF), model evaluation, or data annotation work.
• Experience in writing or editing high-quality written content.
• Experience comparing multiple outputs and making fine-grained qualitative judgments.

• Identifying factual inaccuracies, reasoning errors, and communication gaps in model responses.
• Producing clear, consistent, and reproducible evaluation artifacts.
• Your feedback leads to measurable improvements in response quality and user experience.

Contract work with hourly compensation.

$15 - $20 per hour.

Must take the Bilingual Competency interview in Urdu to be considered for this role. Remote work is available globally.