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AI Training QA Team Lead (Gujarati, Mathematics)

Confidential Client•Software & Technology
Entry LevelPart-timeFull Remote$62,400
United States
A Day Ago

The AI Training QA Team Lead for Gujarati language leads quality assurance for AI training projects by reviewing AI-generated content and trainer outputs against detailed guidelines. This role involves providing precise feedback, supporting remote teams, maintaining documentation, and ensuring linguistic and cultural accuracy to improve AI language model performance.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


What You’ll Do

You will lead quality review for Gujarati-language AI training projects and guide reviewer and trainer teams to produce consistent, high-quality labels and feedback. Your day-to-day work will focus on evaluating AI-generated content and human annotations against detailed project rubrics, documenting issues, and improving processes.

  • Lead and perform quality checks on Gujarati training data for accuracy, fluency, grammar, spelling, tone, register, cultural appropriateness, and preserved meaning.
  • Review instruction-following, formatting, terminology, and adherence to project rubrics.
  • Identify mistranslations, unnatural wording, ambiguity, unsupported or hallucinated claims, and inconsistent terminology.
  • Provide clear, actionable feedback to reviewers and trainers; escalate recurring or critical quality problems.
  • Maintain and improve style guides, FAQs, trackers, quality notes, examples, and onboarding materials.
  • Support onboarding for trainers and reviewers and align teams on updates to language guidelines and workflows.
  • Recommend and implement process improvements to boost reviewer consistency and reduce rework.

What We’re Looking For

We seek a clear communicator with deep Gujarati language expertise and a background in mathematics and language-review work. The role is entry-level in level-of-responsibility terms but requires demonstrated domain experience.

  • Professional fluency in Gujarati — strong reading and writing skills.
  • Strong English communication skills for interpreting guidelines and writing feedback.
  • Bachelor’s or master’s degree in Mathematics.
  • Minimum 3 years’ relevant experience in Gujarati writing, editing, translation, localization, content QA, AI training, annotation, education, or related language-review work.
  • Experience assessing content against rubrics and identifying mistranslations, unnatural phrasing, hallucinations, ambiguity, and terminology inconsistencies.
  • Experience supporting remote teams of trainers, annotators, reviewers, editors, or QA contributors is helpful.
  • Familiarity with AI training, data annotation, large language models, prompt/response evaluation, or rubric-driven model QA is a plus.
  • Strong attention to detail, organized record-keeping, and ability to write concise, actionable feedback.

Compensation & Hours

  • $30 per hour.
  • Part-time, 20+ hours per week.
  • This is a remote, contractor role open to applicants in India, the United Kingdom, and the United States.
  • Entry-level role (in seniority) but requires at least three years of relevant professional experience.
  • Employment type: Part-time contractor (telecommute).

How the Hiring Process Works

Careertakes will manage initial candidate matching and screening for this confidential client. Typical steps:

  • Submit your resume via the Careertakes / application flow.
  • Complete any role-specific assessments or sample reviews requested by the client.
  • Interview(s) with client hiring managers or team leads.
  • If selected, you will be engaged directly by the client as described in the Careertakes disclosure.

About AI Training Work

AI training is the human review and labeling work that helps models generate and understand text. Contributors rate model outputs, correct or annotate content, and verify language quality so AI systems follow instructions and communicate accurately. This role sits at the intersection of linguistics, quality assurance, and AI data annotation.


Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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