Data Scaling Expert Ecosystem
Active AI foundation-model company offering multimodal models, consumer AI products, and an enterprise/developer API platform.
Funding history
About MiniMax Group Inc.
MiniMax develops proprietary multimodal foundation models spanning language, video, speech, and music, and operates AI-native products including MiniMax Agent, MiniMax Design, MiniMax Audio, Talkie, Hailuo AI, and an Open Platform.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build an expert ecosystem from scratch to support model capability development. You will work with algorithm teams to define which domain knowledge is needed, find and connect with experts in China and abroad, and design how they take part in data production, model evaluation and capability building. You will create screening, tiering and incentive mechanisms, drive projects from pilot to scale delivery, track quality and results, and work with algorithm, engineering and legal teams on data ownership, confidentiality and privacy.
Requirements
- Experience in expert networks, knowledge services, industry research, consulting or related platforms
- Independently led multiple expert projects or expert pool building
- Strong resource development and relationship building skills
- Strong learning ability
- Project management and operations skills
- Sensitivity to data and quality
- Continued interest in AI and basic understanding of model training and evaluation
- Strong sense of responsibility and confidentiality awareness
- Ability to conduct expert sourcing and communicate in English with overseas experts
- Nice to have: experience at top expert networks or research institutions, building expert pools from scratch, cross-border expert sourcing, domain knowledge in tech, life sciences, finance, law or engineering, and experience with high-quality data, human feedback or model evaluation
Responsibilities
- Translate model capability goals into domain, expert profile and collaboration task requirements
- Prioritize expert recruitment and cooperation
- Source and connect with domestic and international experts, researchers and professionals
- Build expert identification, screening, onboarding and tiering mechanisms
- Design expert collaboration workflows for data production, review and model evaluation
- Drive projects from pilot to scaled delivery and resolve quality and schedule issues
- Track expert output and model experiment results to optimize projects
- Build expert database, capability tags and quality evaluation systems
- Design incentive and long-term operation mechanisms
- Work with algorithm, engineering and legal teams on data ownership, confidentiality and privacy