🚀 Transforming YouTube Tutorials into AI Training Powerhouses 🚀
I’ve built a YouTube operation that churns out high-quality screen-recorded software tutorials, producing 75,000 videos in just a few months with a dedicated team of 20 operators. Our profitable, streamlined, and scalable pipeline has opened doors to unique possibilities in AI development.
Key Offerings:
- Human Demonstrations of Web Tasks: Documenting real user interactions.
- Structured Event Logs: Clicks, inputs, and timings in JSONL format.
- Evaluation Metrics: Action scoring and error taxonomy for precise benchmarks.
- Preference Labels: RLAIF/RLHF outputs with clear rationales.
- PII-Safe Outputs: Ensuring compliance with QA metrics.
🔍 Seeking Validation:
- Is this data valuable for training AI?
- What formats/metadata are preferred?
- Do teams prefer curated corpora or on-demand tasks?
- Is there demand for this structured offering?
💡 If you’re in AI or tech, I’d love to hear your thoughts. Share your insights below!
