Kannada Expert with Mathematical Background

SME Careers; Mysuru; Remote; INR 551,000 - 1,102,000; Part time

Job summary

SME Careers is seeking a Kannada Language Specialist to review AI-generated content and craft high-quality reference material. This hourly, remote contractor role emphasizes evaluating language quality, tone, grammar, and cultural relevance to ensure accuracy and fluency.

You will provide precise feedback in English, write rewrites and model answers, and help rate AI outputs for quality. A Mathematics degree and 3+ years in language-focused work are preferred.

Qualifications

• Bachelor's degree (or higher) in Mathematics.
• Native or near-native Kannada proficiency (reading and writing).
• Strong professional proficiency in English (C1).
• 3+ years of experience in writing, editing, localization, translation, content QA, journalism, education, or related language work.

Responsibilities

• Develop AI Training Content: Create prompts and gold-standard Kannada answers across domains.
• Optimize AI Performance: Evaluate and rank AI outputs for fluency, tone, and cultural appropriateness.
• Ensure Model Integrity: Detect unsafe or misleading content, bias, and policy-risk language; validate reliability.

Skills

Kannada proficiency

English proficiency

Attention to detail

Remote work experience

Education

Bachelor's degree in Mathematics

Job description

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.

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.

Your Profile

• Bachelor's degree (or higher) in Mathematics
• 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.