Telugu Linguistic QA Specialist (Remote)

About This Role

In this hourly, remote contractor role, you will work as a Telugu Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Telugu AI training projects. You will review AI-generated Telugu content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently.

Responsibilities

• Quality monitoring: Spot-check Telugu items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around Telugu wording, register, translation fidelity, cultural context, Andhra Pradesh vs Telangana usage, and edge cases.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain Telugu project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Telugu-specific style requirements.
• Quality alignment: Ensure all trainers and QAs apply Telugu language guidelines consistently and understand updates as projects evolve.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Telugu-language projects.