Kannada Team Lead

SME Careers

United Arab Emirates

Remote

AED 83,000 - 138,000

Part time

8 hours ago
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Job summary

SME Careers is seeking a Kannada Quality Assurance Lead to oversee quality across remote Kannada AI training projects. You will review AI-generated Kannada content, assess accuracy, fluency, and cultural appropriateness, and provide precise feedback to trainers and QAs.

You will guide onboarding, maintain documentation, and drive scalable QA processes for distributed teams, while balancing English-language guidelines with Kannada-specific style requirements.

Qualifications

  • Native or near-native Kannada proficiency with strong reading and writing skills.
  • Strong English skills to follow guidelines and provide feedback in English.
  • 3+ years of Kannada writing, editing, translation, localization, QA or related language-review work.

Responsibilities

  • Quality monitoring: spot-check Kannada items, identify issues, and provide ongoing feedback.
  • Trainer/QA communication: update trainers and QAs on guidelines and project changes.
  • Question handling: respond clearly to glossary, wording, and cultural-context questions.
  • Activation management: reach out to inactive contributors and track follow-ups.
  • Documentation: create and maintain Kannada project documentation and guides.
  • Onboarding and training: run calls to explain expectations and rubrics.
  • Quality alignment: ensure consistent use of Kannada guidelines across teams.
  • Process improvement: identify gaps and help build scalable QA processes.

Skills

Kannada proficiency
English proficiency
Remote team leadership
Attention to detail
Structured communication
Quality workflow management

Education

Bachelor’s or Master’s degree in Kannada/related field

Tools

Discord
Google Sheets
Google Docs
Trackers
Dashboards
PM systems

Job description

In this hourly, remote contractor role, you will work as a Kannada Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Kannada AI training projects. You will review AI-generated Kannada 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 Kannada 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 SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Kannada quality leadership will directly help improve the world’s premier AI models by ensuring that Kannada training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations.

Key Responsibilities
  • Quality monitoring: Spot-check Kannada items, identify quality issues, provide ongoing feedback through DMs, and escape 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 Kannada wording, register, translation fidelity, cultural context, regional variation, 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 Kannada 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 Kannada-specific style requirements.
  • Quality alignment: Ensure all trainers and QAs apply Kannada 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 Kannada-language projects.
Your Profile
  • Bachelor’s or Master’s degree in Kannada, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.
  • Native or near-native Kannada 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 Kannada writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.
  • Strong understanding of Kannada grammar, spelling conventions, punctuation, tone, register, regional variation, and cultural context.
  • Ability to evaluate Kannada 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.
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