AI Training QA Team Lead (Telugu, Mathematics)

You will lead quality checks for Telugu AI training projects. Review AI-generated Telugu content and trainer and QA submissions against project guidance and detailed rubrics, then give clear written feedback.

You will help keep reviews consistent across contributors and support better quality processes, documentation, and training materials.

• Spot-check Telugu content for grammar, spelling, tone, register, cultural context, meaning, formatting, terminology, and instruction-following.
• Find mistranslations, unnatural or ambiguous wording, unsupported claims, and inconsistent terminology.
• Identify recurring or serious quality problems, provide ongoing feedback, and escalate concerns when needed.
• Answer questions about Telugu wording, regional usage, translation accuracy, cultural context, and difficult language cases.
• Share guideline and workflow updates with trainers and QAs, and maintain style guides, FAQs, trackers, quality notes, examples, and onboarding materials.
• Support onboarding and training, align review practices, and recommend improvements to scalable QA workflows.

• Pay: $25 per hour.
• Hours: 20 or more hours per week.
• Work arrangement: Remote contractor role.
• Open to contractors in India, the United States, and the United Arab Emirates.
• Education: Bachelor's or master's degree in Mathematics.
• Languages: Professional fluency in Telugu with strong reading and writing skills, plus strong English skills for understanding guidelines and giving clear feedback.
• Experience: At least three years in Telugu writing, editing, translation, localization, content QA, AI training, education, annotation, or a related language-review workflow.
• Skills: Strong knowledge of Telugu grammar, spelling, punctuation, tone, register, regional variation, and cultural context.
• You should be able to apply detailed rubrics, organize your work carefully, and communicate feedback in a clear, structured way.
• Helpful experience includes supporting remote teams, AI training, data annotation, large language models, prompt and response evaluation, rubric-based AI quality assurance, and quality documentation.

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

AI training is the human work behind artificial intelligence. People review and improve examples, including text and model responses, so AI systems learn to produce more accurate and useful results. Language reviewers with strong subject knowledge are paid for careful judgments that help shape how these systems behave.