About This Role
Interview language: English
In this hourly, remote contractor role, you will work as a Gujarati Language Specialist (SME) to review AI-generated Gujarati content and/or create high-quality Gujarati reference content, evaluating language quality and step-by-step reasoning while providing precise written feedback. You will assess outputs for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, and adherence to the prompt; identify errors in meaning, mistranslation, register (formal vs informal), ambiguity, and logical consistency; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in Gujarati writing; and rate and compare multiple AI responses based on correctness and overall quality.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Gujarati expertise directly helps improve the world’s premier AI models by making their Gujarati language output more natural, reliable, culturally accurate, and clearly written.
Your profile
- Bachelor’s degree (or higher) in Linguistics, Gujarati/English Literature, Communications, Journalism, Translation, or a related field (or equivalent professional experience).
- Native or near-native Gujarati proficiency (reading and writing required).
- Strong professional proficiency in English (minimum C1) to follow guidelines and provide detailed feedback in English.
- 3+ years of professional experience in writing, editing, localization, translation, content QA, journalism, education, or related language-focused work.
- Deep understanding of Gujarati grammar, spelling conventions, punctuation, and style – able to explain why something is wrong and how to fix it.
- Comfortable handling multiple registers (formal/informal), dialect variation, and audience adaptation (e.g., India vs diaspora audiences).
- High attention to detail when spotting subtle meaning shifts, hallucinated claims, or culturally awkward phrasing.
- Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
- Prior experience with AI data training/annotation, translation QA, editorial QA, or rubric-based evaluation is strongly preferred.
Key responsibilities
- Task Description: Review and quality-check existing translations of English science benchmark questions (ARC) in your target language. For each item, you’ll compare the original translation and an AI-proposed correction against the English source, focusing strictly on accuracy and faithfulness rather than stylistic improvement .
- You’ll review the question and answer choices only , select the appropriate outcome (accept the original, accept the AI correction, edit the final translation, or escalte), and provide a brief review comment. The goal is to preserve the source exactly – including its meaning, difficulty, answer structure, scientific terminology, and protected elements – while following the provided core and language-specific guidelines.
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