Telugu Team Lead Mathematical Background Job Abu Dhabi UAE/Dubai,IT/Tech

Position: Telugu Team Lead with Mathematical Background

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 This role requires strong Telugu and English skills excellent attention to detail structured communication and the ability to manage quality workflows across remote teams

This role is with SME Careers a fast-growing AI Data Services company and subsidiary of Super Annotate delivering training data for many of the world s largest AI companies and foundation-model labs Your Telugu quality leadership will directly help improve the world s premier AI models by ensuring that Telugu training data is natural accurate culturally appropriate well-documented and aligned with client expectations

Selection process involves an AI interview a domain-specific task and an interview with a recruiter

Quality monitoring

Spot-check Telugu items identify quality issues provide ongoing feedback through DMs and elevate 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 registration 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

Qualifications

Bachelor’s or Master’s degree in Mathematics

Native or near-native Telugu proficiency with strong reading and writing skills

Strong grasp of the English language to follow project guidelines communicate with teams and provide clear feedback in English

3+ years of professional experience in Telugu writing editing translation localization content QA AI training education annotation or related language-review workflows

Strong understanding of Telugu grammar spelling conventions punctuation tone register regional variation and cultural context

Ability to evaluate Telugu content against detailed rubrics and identify issues such as mistranslation literal phrasing unnatural tone hallucinated claims ambiguity or inconsistent terminology

Experience leading or supporting remote teams of trainers annotators reviewers editors or QAs is strongly preferred

Comfortable working in fast-moving remote environments using tools such as Discord Google Sheets Google Docs trackers dashboards and project management systems

Highly detail-oriented and organized with the ability to maintain style guides FAQs trackers onboarding materials honeypots and other quality documentation

Experience with AI training data annotation large language models prompt-response evaluation or rubric-based LLM QA is a strong plus