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Kannada Quality Assurance Lead (QAL)

SME Careers Remote

Education

Any

Type

Pay Rate

$25/task

Listed

Today

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KannadaQAL-26-162

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About this Role

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.

Important:
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

### Key Responsibilities
- Quality monitoring: Spot-check Kannada 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 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.

🌍 Geographic Availability
This role is available to qualified experts globally. However, as a U.S.-based company, SME Careers complies with U.S. export control and sanctions regulations. Eligibility depends on your country of residence and any applicable trade restrictions. Some projects may have additional language or region-specific requirements.

💰 Pay Rate May Vary Based on Your Location
Your actual compensation will be determined based on your location and local market conditions. See regional job listings for localized pay information, or the application process will clarify your specific rate.

If you're unsure whether you're eligible, proceed with the application—SME's screening will determine your jurisdiction status and applicable compensation.

Requirements

  • Advanced degree or strong hands-on professional experience in the domain
  • Ability to pass domain-specific qualification assessments
  • Eligible to create a verified account on Deel (for payments/compliance)
  • Proficiency in English (for instructions and feedback)
  • Available to applicants in 40+ countries

Eligible Languages

Fluent proficiency in English

English

Compensation Analysis

Don't just label data—build a career. SME Careers is unique in the AI training space because it offers a transparent growth ladder. High performers aren't just kept in the queue; they are promoted to Quality Analysts and Project Managers. With weekly transparent payments via Deel and the freedom to work on your own schedule, this is built for modern experts who want long-term engagement.

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Frequently Asked Questions

Is there room for advancement?

Yes. This is a key feature of the platform. They explicitly list a career path: Data Trainer -> Quality Analyst -> QA Lead -> Project Manager. Consistent high-quality work can lead to leadership roles.

How do payments work?

Payments are processed weekly through Deel. This ensures tax compliance and allows them to hire freelancers from over 40 countries securely.

Is the work ongoing or project-based?

Work is project-based, which means assignments can vary in duration and availability. However, top performers often get priority access to new projects.

What does the work actually look like?

It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.

How flexible is the schedule?

Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.

Is there an interview?

Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.

Who is behind SME Careers?

SME Careers is the expert talent division of SuperAnnotate, a leading AI data infrastructure platform. They connect domain experts with high-level AI training projects.