Generalist - English & Telugu (Train AI Models Part Time!)

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role.

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