Nepali Team Lead with Mathematical Background

SME Careers; United States; Remote; USD 34,000 - 55,000; Part time

Job summary

SME Careers is seeking a Nepali Quality Assurance Lead to oversee quality across remote AI training projects. You will review Nepali content and trainer output, provide precise feedback, and ensure adherence to project rubrics and guidelines.

Strong Nepali and English skills, attention to detail, and structured communication are essential. You will manage quality workflows across remote trainers/QAs, support onboarding, maintain documentation, and escalate issues to project leads.

Qualifications

• Bachelor’s or Master’s degree in Mathematics is required.

Responsibilities

• Quality monitoring: spot-check Nepali items and provide feedback.
• Trainer/QA communication via Discord about guidelines and updates.
• Handle Nepali grammar, tone, and cultural nuances in reviews.
• Activate inactive contributors and follow up on availability.
• Create and maintain Nepali project documentation and style guides.
• Run onboarding/training calls to explain expectations and workflows.
• Ensure consistent application of Nepali language guidelines across projects.
• Flag recurring issues and suggest scalable QA improvements.
• Support remote teams with clear guidance and documentation.

Skills

Nepali language

English proficiency

Attention to detail

Structured communication

Quality workflow management

Remote team coordination

Feedback delivery

Training and onboarding

Education

Bachelor’s or Master’s degree in Mathematics

Tools

Discord

Google Sheets

Google Docs

Trackers & dashboards

Project management systems

Job description

In this hourly, remote contractor role, you will work as a Nepali Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Nepali AI training projects. You will review AI-generated Nepali content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.

You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Nepali and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Nepali quality leadership will directly help improve the world’s premier AI models by ensuring that Nepali training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations.

Responsibilities

• Quality monitoring: Spot-check Nepali items, identify quality issues, provide ongoing feedback through DMs, and elevate recurring or critical issues.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and Nepali-specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around Nepali grammar, register, honorifics, Devanagari script, translation fidelity, terminology, cultural context, and edge cases.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain Nepali project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Nepali-specific language requirements.
• Quality alignment: Ensure all trainers and QAs apply Nepali language guidelines consistently and understand updates as projects evolve.
• Quality escalation: Flag recurring mistranslation patterns, unnatural phrasing, hallucinated claims, cultural mismatches, guideline confusion, or trainer quality concerns to project leads.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Nepali-language AI training projects.

Requirements

• Bachelor’s or Master’s degree in Mathematics
• Native or near-native Nepali proficiency with strong reading and writing skills.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English.
• 3+ years of professional experience in Nepali writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.
• Strong understanding of Nepali grammar, spelling conventions, punctuation, Devanagari script, honorifics, postpositions, verb forms, agreement, tone, register, and cultural context.
• Ability to evaluate Nepali content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect honorific level, Hindi- or English-influenced phrasing, hallucinated claims, ambiguity, or inconsistent terminology.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, quality notes, and documentation.
• Experience with AI training, data annotation, LLM evaluation, prompt/response evaluation, localization QA, translation QA, or rubric-based LLM review is a strong plus.