AI Training in Chinese
Résumé du poste par JobGrid
AI Training in Chinese at Gramian Consulting Group: Remote, Nigeria; Contrat. This listing is part of JobGrid's Emplois IA à distance depuis des pages carrières. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Remote, Nigeria
- Role classification: Contrat
- Source freshness: checked by JobGrid on 2026-06-11.
- Application path: candidates continue to the employer application page with non-personal referral tags.
About Us
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
This opening is on behalf of one of our clients, and we’ll work closely with you to make the process clear and straightforward.
Role Overview
We are looking for Chinese-speaking AI Quality Analysts to evaluate personalized AI conversations and assess response quality across dimensions such as relevance, grounding, helpfulness, and natural integration of personal context. This role combines analytical thinking, creativity, and attention to detail. You will create realistic conversational scenarios, compare AI-generated responses, and provide structured evaluations to help improve the quality of next-generation AI systems.
CONTRACT: Freelance (2 months)
COMMITMENT: 30–40h/week with minimum 4h PST overlap
LOCATION: 100% Remote — India, Pakistan, Bangladesh, Egypt, Ghana, Nigeria
PROCESS: Online Assessment (~60min)
NOTES: Chinese fluency and willingness to use a primary personal Google account for evaluation purposes are mandatory.
Responsibilities
- Create realistic multi-turn conversational scenarios in Chinese
- Evaluate AI-generated responses for relevance, accuracy, and usefulness
- Assess how effectively personal context is incorporated into responses
- Compare and rank multiple AI responses side-by-side
- Identify grounding issues, unsupported assumptions, and incorrect personalization
- Review conversation quality, tone, and naturalness
- Write clear evaluation rationales and structured feedback
- Verify that AI systems correctly utilize available context and data sources
- Follow evaluation guidelines and maintain high-quality standards
- Manage evaluation data according to project requirements