Generalist - English & Gujarati

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

**Location**: Global
**Type**: Contract Work
**Fluent Language Skills Required:** Gujarati (native fluency) and English (strong proficiency)

**Why this role matters:** Your job is to assess Gujarati 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 **Gujarati**

• 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