AI Training QA Team Lead (Gujarati, Mathematics)

You will lead quality review across Gujarati AI training projects. The work includes checking AI-generated content and trainer or QA work against detailed project guidelines and rubrics, then giving clear feedback to support consistent results.

You will also help reviewers and trainers understand language guidelines, answer questions about Gujarati wording and cultural context, and improve documentation and quality processes.

• Spot-check Gujarati content for accuracy, fluency, grammar, spelling, tone, register, cultural appropriateness, and preserved meaning.
• Check instruction-following, formatting, terminology, and adherence to project rubrics.
• Identify mistranslations, unnatural wording, ambiguous content, unsupported or hallucinated claims, and inconsistent terminology.
• Write precise feedback, escalate recurring or critical quality problems, and share guideline and workflow updates.
• Maintain style guides, FAQs, trackers, quality notes, examples, and onboarding materials.
• Support trainer and reviewer onboarding, align teams on changing language guidelines, and find ways to improve quality processes.

This is a remote, part-time contractor role for candidates in India, the United Kingdom, or the United States. The role is listed as entry level and requires at least three years of relevant professional experience.

• $30 per hour.
• 20 or more hours per week.
• Remote work open to candidates in India, the United Kingdom, or the United States.
• Professional fluency in Gujarati, with strong Gujarati reading and writing skills.
• Strong English skills for understanding guidelines and communicating feedback.
• A bachelor's or master's degree in Mathematics.
• Strong knowledge of Gujarati grammar, spelling, punctuation, tone, register, and cultural context.
• At least three years of experience in Gujarati writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review work.
• Ability to assess content against detailed rubrics and identify mistranslation, unnatural phrasing, hallucinated claims, 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 and response evaluation, or rubric-based language model QA is helpful.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that generate and understand text. People review examples, rate model responses, and check language quality so AI systems follow instructions and communicate more accurately. OpenTrain is a free platform where people find AI training and data-labeling projects, build a profile, and apply in minutes.