AI Quality Assurance Lead (Nepali)

You will review Nepali AI training content and the work completed by trainers and quality reviewers. Your feedback will help keep training data accurate, fluent, culturally appropriate, well documented, and aligned with project guidelines.

• Spot-check Nepali items for accuracy, grammar, spelling, tone, cultural fit, meaning, formatting, instruction following, and terminology consistency.
• Write clear feedback and explain quality decisions using project rubrics.
• Answer language questions, communicate guideline updates, and escalate repeated or serious issues.
• Create and maintain style guides, FAQs, trackers, calibration materials, onboarding resources, and quality notes.
• Support onboarding and training, apply Nepali language guidelines consistently, and identify ways to improve remote QA workflows.

What It Pays And Takes

This is a part-time contractor role for candidates in Bangladesh, Bhutan, India, or Nepal. The work requires strong Nepali language knowledge and English communication skills, along with experience reviewing language or content quality.

• Pay: $20 per hour.
• Time: 20 or more hours per week.
• Location: Open to candidates in Bangladesh, Bhutan, India, or Nepal.
• Languages: Fluent Nepali reading and writing, plus strong English communication skills.
• Education: A relevant bachelor's or master's degree, or equivalent language and quality experience.
• Experience: At least three years in Nepali writing, editing, translation, localization, content QA, education, annotation, or related review work.
• Knowledge: Nepali grammar, Devanagari script, spelling, punctuation, honorifics, register, cultural context, and terminology.
• Helpful experience: Rubric-based language review, AI training, large language model evaluation, translation QA, localization QA, remote review teams, shared documents, spreadsheets, trackers, or dashboards.

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. People review examples, rate model responses, and check language quality so AI systems learn to produce more accurate and useful results.