The work
As a Hindi Quality Assurance Lead, you will review AI-generated Hindi content and trainer QA submissions for accuracy, consistency, and guideline compliance. You will write clear feedback, identify recurring problems, and help contributors meet project standards.
You will also support Hindi workflow documentation, onboarding, trainer discussions, and contributor activation. The role includes answering language questions and helping improve QA processes.
- Review Hindi AI training outputs and trainer QA submissions.
- Evaluate grammar, spelling, fluency, tone, cultural fit, meaning, formatting, instruction-following, and rubric adherence.
- Identify mistranslations, literal phrasing, unnatural tone, incorrect gender or verb agreement, unsupported claims, ambiguity, and inconsistent terminology.
- Provide written feedback and escalate recurring or critical quality issues.
- Answer questions about Devanagari, register, translation fidelity, Hinglish, terminology, and cultural context.
- Maintain FAQs, examples, trackers, onboarding materials, and other Hindi documentation.
- Support trainer and contributor onboarding, training discussions, and workflow updates.
What it pays and takes
This is a remote, part-time contractor role with a commitment of 20 or more hours per week. It is open to candidates in India.
- Pay: $25 per hour.
- Time: 20 or more hours per week.
- Location: Remote; open to candidates in India.
- Language: Fluent Hindi with strong reading and writing skills, plus strong English communication skills.
- Experience: 3 or more years in Hindi writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review work.
- Knowledge: Hindi grammar, Devanagari script, spelling, punctuation, tone, register, and India-specific cultural context.
- Leadership: Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QA contributors.
- Tools: Comfort with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
- AI experience: Experience with AI training, data annotation, large language model evaluation, prompt-response evaluation, or rubric-based language model QA.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind systems that generate and understand text, images, audio, and code. People review examples, rate model responses, and improve guidelines so AI systems produce more accurate and useful results; experienced reviewers are needed for careful language and quality decisions.