Generalist - English & Punjabi (Train AI Models Part Time!)
United StatesPosted Jul 14, 2026
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Generalist - English & Punjabi (Train AI Models Part Time!)
hackajob
United States
Generalist - English & Punjabi (Train AI Models Part Time!)
hackajob
United States
2 weeks ago
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This range is provided by hackajob. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$15.00/yr - $20.00/yr
hackajob is collaborating with Mercor to connect them with exceptional professionals for this role.PLEASE NOTE: You must take the Bilingual Competency interview in Punjabi to be considered for this role.** **Location**: Global **Type**: Contract Work **Fluent Language Skills Required:** Punjabi (native fluency) and English (strong proficiency) **Why this role matters:** Your job is to assess Punjabi 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 **Punjabi** - 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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Seniority level
Entry level
Employment type
Full-time
Job function
Human Resources
Industries
Software Development
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