Scalable Multimodal Data Labeling for Advanced GenAI Training

The client aimed to develop robust, contextually aware Generative AI models capable of sophisticated reasoning and accurate visual comprehension across multiple scientific disciplines.

Tbrain created 48,000 complex visual prompts tailored for advanced undergraduate-level understanding in chemistry, biology, medical sciences, mathematics, physics, engineering, and economics.

• Recruiting specialized workforce - the initial team of 50 makers and 5 QCs had to scale rapidly.
• Complex task requirements - each visual prompt had to satisfy 8 strict criteria.
• Maintaining quality at scale - domain review, language verification, and final QC had to run without bottlenecks.

Final Deliverables

• 35,401 prompts delivered and final-approved with high academic and linguistic precision

• 12x growth in team size without compromising quality standards

• Dramatic reduction in bottlenecks through real-time dashboards and daily sync-ups