Kannada Language Expert

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.

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

• 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.