Kannada Language Expert
Up to $20/hr as listed
- Listed pay
- Up to $20/hr as listed
- Field
- Languages
- Languages
- Kannada, English
- Where
- India, Malaysia, United States, Saudi Arabia, United Arab Emirates
- Type
- Contract, remote
- Posted on SME Careers
- First seen here
- 9 October 2026
Summary
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...
From the SME Careers listing
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.
Responsibilities
- Develop AI Training Content: Create prompts and gold-standard Kannada answers across multiple domains (general knowledge, customer support, education, conversational writing).
- Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, and cultural appropriateness.
- Ensure Model Integrity: Detect unsafe or misleading content, factual hallucinations, bias, and policy-risk language; validate reliability across use cases.
Requirements
- 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.
Text above is the platform's own listing, shown as published. Check the details on SME Careers before applying.
Prepare for the assessment
Practice questions and what each platform says about its screening for this kind of role:
Terms in this listing
- Prompt
- The input given to a model: a question, an instruction or a conversation so far.
- Rewrite
- A task where you fix a model's answer so it is correct, complete and follows the guidelines, instead of only scoring it.
- AI interview
- A screening interview run by an AI system instead of a person, usually spoken or on video, with questions about your background and skills.
- Hallucination
- When a model states something false or made up as if it were true, such as a fake citation or an invented fact.
- Guidelines
- The project's written instructions that define how to do a task and how to judge answers. On most projects they take precedence over personal preference.
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