Telugu Language Expert

SME Careers; Puducherry; Remote; INR 551,000 - 964,000; Part time

Job summary

SME Careers in India is seeking a Telugu Language Specialist to review AI-generated content and create high-quality Telugu reference material as a remote hourly contractor. You will assess outputs for accuracy, fluency, grammar, tone, and cultural appropriateness, and provide precise feedback.

Responsibilities include developing prompts, judging AI performance, detecting bias or unsafe content, and writing rewrites and model answers that demonstrate best practices in Telugu.

Qualifications

• Native or near-native Telugu proficiency with reading and writing.
• Strong professional English (C1) to provide feedback in English.
• 3+ years in writing, editing, localization, translation, or content QA.

Responsibilities

• Develop prompts and gold-standard Telugu answers across domains.
• Evaluate AI outputs for fluency, tone, cultural accuracy, and adherence to prompts.
• Provide high-quality rewrites and model answers.
• Rate and compare AI responses for accuracy and quality.

Skills

Telugu language expertise

English proficiency (C1)

Content QA / editing

Localization / translation

Detail-oriented

Remote/contractor discipline

Education

Bachelor's degree or higher in Linguistics / Telugu Studies / Communications

Job description

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

Key Responsibilities

• Develop AI Training Content: Create prompts and gold-standard Telugu 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 Linguistics, Telugu/English Literature, Communications, Journalism, Translation, or a related field (or equivalent professional experience).
• Native or near-native Telugu 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 Telugu 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., Andhra Pradesh vs Telangana usage), and audience adaptation (India vs diaspora).
• High attention to detail when spotting subtle meaning shifts, awkward literal translations, hallucinated claims, or culturally mismatched 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.