Kannada Team Lead | Up to $30/hr Remote

Crossing Hurdles

India

Remote

INR 600,000 - 900,000

Full time

6 hours ago
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Job summary

Crossing Hurdles is seeking skilled Kannada QA specialists to oversee trainer performance and ensure high-quality AI training data across projects. You will review AI-generated Kannada content against guidelines, provide precise feedback, and escalate critical issues while coordinating with remote teams.

The role requires native Kannada proficiency, strong English, and experience in translation/QA workflows, with opportunities to shape documentation and standard operating procedures across

Qualifications

  • Bachelor's or Master's degree in Kannada, Linguistics, Translation, or related field.
  • Native or near-native Kannada with strong reading and writing skills.
  • Strong English proficiency and ability to follow detailed guidelines.
  • Experience in Kannada writing, editing, translation, localization, content QA, or related language-review workflows.
  • Experience leading remote teams of trainers or QA contributors preferred.

Responsibilities

  • Oversee quality, consistency, and trainer performance across Kannada AI training projects.
  • Review AI-generated Kannada content, trainer submissions, and QA work against project-specific guidelines, rubrics, and quality standards
  • Evaluate content for accuracy, fluency, grammar, spelling, punctuation, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and terminology consistency
  • Spot-check Kannada items and identify issues involving mistranslation, literal phrasing, unnatural tone, hallucinated claims, ambiguity, or rubric non-compliance
  • Provide precise, actionable written feedback to trainers and QAs to improve language quality, evaluation consistency, and project adherence
  • Escalate recurring, critical, or high-impact quality issues and support timely resolution across remote contributor teams
  • Communicate new item guidelines, project changes, workflow updates, quality expectations, and Kannada-specific language guidance through Discord and other project channels
  • Respond clearly and promptly to trainer and QA questions involving Kannada wording, register, translation fidelity, cultural context, regional variation, formatting, and language edge cases
  • Track trainer and QA participation, follow up with inactive contributors, encourage activation, and flag availability issues when needed
  • Create, maintain, and update Kannada project documentation, including style guides, FAQs, trackers, quality notes, examples, honeypots, and onboarding materials
  • Schedule and conduct onboarding and training sessions covering project workflows, evaluation rubrics, quality standards, and Kannada-specific style requirements
  • Ensure trainers and QAs apply Kannada language guidelines consistently as projects, client expectations, and task requirements evolve
  • Monitor recurring quality patterns and recommend workflow, documentation, rubric, or training improvements
  • Support the development of scalable QA processes for Kannada-language projects through structured feedback, calibration, documentation, and quality monitoring
  • Help ensure Kannada AI training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations
  • Support AI model improvement through quality reviews, trainer coaching, LLM evaluation, response analysis, and structured QA documentation

Skills

Kannada proficiency
English proficiency
Remote team coordination
Quality assurance
Documentation writing

Education

Bachelor's/Master's in Kannada or related field

Tools

Discord
Google Sheets
Google Docs
Trackers
Dashboards
Project-management systems

Job description

Interview: Required, conducted in English

  • Oversee quality, consistency, and trainer performance across Kannada AI training projects
  • Review AI-generated Kannada content, trainer submissions, and QA work against project-specific guidelines, rubrics, and quality standards
  • Evaluate content for accuracy, fluency, grammar, spelling, punctuation, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and terminology consistency
  • Spot-check Kannada items and identify issues involving mistranslation, literal phrasing, unnatural tone, hallucinated claims, ambiguity, inconsistent terminology, or rubric non-compliance
  • Provide precise, actionable written feedback to trainers and QAs to improve language quality, evaluation consistency, and project adherence
  • Escalate recurring, critical, or high-impact quality issues and support timely resolution across remote contributor teams
  • Communicate new item guidelines, project changes, workflow updates, quality expectations, and Kannada-specific language guidance through Discord and other project channels
  • Respond clearly and promptly to trainer and QA questions involving Kannada wording, register, translation fidelity, cultural context, regional variation, formatting, and language edge cases
  • Track trainer and QA participation, follow up with inactive contributors, encourage activation, and flag availability issues when needed
  • Create, maintain, and update Kannada project documentation, including style guides, FAQs, trackers, quality notes, examples, honeypots, and onboarding materials
  • Schedule and conduct onboarding and training sessions covering project workflows, evaluation rubrics, quality standards, and Kannada-specific style requirements
  • Ensure trainers and QAs apply Kannada language guidelines consistently as projects, client expectations, and task requirements evolve
  • Monitor recurring quality patterns and recommend workflow, documentation, rubric, or training improvements
  • Support the development of scalable QA processes for Kannada-language projects through structured feedback, calibration, documentation, and quality monitoring
  • Help ensure Kannada AI training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations
  • Support AI model improvement through quality reviews, trainer coaching, LLM evaluation, response analysis, and structured QA documentation

Requirements

  • Education: Bachelor s or Master s degree in Kannada, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a related field preferred
  • Native or near-native Kannada proficiency, with strong reading and writing ability required
  • Strong English proficiency, with the ability to follow detailed project guidelines, communicate with remote teams, and provide clear written feedback
  • Strong working experience in Kannada writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows
  • Deep understanding of Kannada grammar, spelling conventions, punctuation, tone, register, regional variation, cultural context, and terminology
  • Ability to evaluate Kannada content against detailed rubrics and identify mistranslation, literal phrasing, unnatural tone, hallucinated claims, ambiguity, and inconsistent terminology
  • Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QA contributors strongly preferred
  • Strong communication, coaching, organization, and quality-management skills
  • Experience creating and maintaining style guides, FAQs, trackers, onboarding materials, honeypots, quality notes, and other project documentation preferred
  • Comfortable working in fast-moving remote environments using Discord, Google Sheets, Google Docs, trackers, dashboards, and project-management systems
  • Strong analytical judgment when evaluating AI-generated content, contributor quality, rubric adherence, and recurring workflow gaps
  • Previous experience with AI data training, data annotation, large language models, prompt/response evaluation, translation QA, or rubric-based LLM QA strongly preferred
  • Familiarity with AI tools such as ChatGPT, Gemini, Claude, Perplexity, or similar platforms preferred
  • Reliable remote-work practices, confidentiality handling, self-direction, and consistency across structured quality workflows required
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