Kannada Language Expert (Remote)

SuperAnnotate AI, Inc.; As Sudiyah; Remote; OMR 11,000 - 21,000; Part time

Job summary

SuperAnnotate AI, Inc. is seeking a Kannada Language Specialist (SME) for an hourly, remote contractor role. You will review AI-generated Kannada content, create high-quality references, and rate multiple AI responses based on accuracy, fluency, and cultural appropriateness.

The work requires precise feedback in Kannada and English, with domain knowledge in linguistics and translation QA. You will assess outputs for grammar, tone, and consistency, rewrite as needed, and build model answers that

Qualifications

• Native or near-native Kannada proficiency
• Strong professional proficiency in English (C1) to provide feedback in English
• 3+ years in writing, editing, localization, translation, QA, or journalism
• Deep understanding of Kannada grammar, spelling, punctuation, and style
• Able to explain why something is wrong and how to fix it
• Experience with AI data training/annotation or rubric-based evaluation preferred

Responsibilities

• Review and quality-check translations of English science questions (ARC) in Kannada
• Compare original translations and AI corrections against English source for accuracy
• Select the appropriate outcome and provide a brief review comment to preserve meaning and difficulty

Skills

Kannada proficiency

English proficiency (C1)

3+ years language-focused work

Attention to detail

Ability to explain errors and fixes

Plains register handling (formal/in...

Education

Bachelor’s degree in Linguistics or related field

Job description

About This Role

Interview language: English

In this hourly, remote contractor role, you will work as a Kannada Language Specialist (SME) to review AI-generated Kannada content and/or create high-quality Kannada 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 Kannada 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 Kannada expertise directly helps improve the world’s premier AI models by making their Kannada language output more natural, reliable, culturally accurate, and clearly written.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Your profile

• Bachelor’s degree (or higher) in Linguistics, Kannada/English Literature, Communications, Journalism, Translation, or a related field (or equivalent professional experience).


• Native or near-native Kannada 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 Kannada grammar, spelling conventions, punctuation, and style - able to explain why something is wrong and how to fix it.


• Comfortable handling multiple registers (formal/informal), regional variation (e.g., Bengaluru/standard usage vs regional dialect influence), and audience adaptation (India vs diaspora).


• 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 elevate), 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.