How to Evaluate an AI Training Data Vendor: A Checklist
The AI data collection market has gotten crowded fast, and most vendor websites read almost identically — "end-to-end AI data solutions," "global scale," "any modality." None of that helps a buyer make an actual decision. This checklist is built around the metrics needed to evaluate AI data vendor options for robotics and physical AI campaigns.
1. Modality-Specific Experience
Request specific walkthroughs of datasets captured in the exact category you need. General annotation case studies don't demonstrate bimanual manipulation, egocentric video logging, or speech/dialect audio capabilities. (Read more in our guides: Robotics Data Sourcing, Bimanual Manipulation, Egocentric Video, and Speech & Dialect Sourcing.)
2. Field Execution Track Record
Data collection is operationally intensive — sourcing environments, training operators, running equipment consistently across sessions. A vendor with a background purely in remote annotation may not have the field-operations muscle this requires.
3. Sample Data, Not Just a Deck
Ask to see structured sample output — not a case study PDF, actual data formatted the way it would be delivered. A vendor confident in their work will show it.
4. Consent and Compensation Transparency
This has become a real scrutiny point in the industry as physical AI data collection has scaled. A vendor should describe their process clearly and without hesitation, not treat it as a footnote.
5. Quality Control Process
Ask specifically how bad episodes get caught — inter-annotator agreement, on-site review, post-delivery QC — and at what stage in the pipeline.
6. Pricing Structure
Prefer vendors who can break down cost per episode or per hour over ones offering only a bundled flat quote. It's easier to catch scope creep and quality shortcuts when pricing is transparent.
7. Pilot-First Willingness
A vendor confident in their process will support a small pilot batch before a full engagement. One who insists on full-volume commitment upfront is worth a second look.
Where Blue Projects Fits In
Blue Projects welcomes this kind of scrutiny. We're a field data collection company running robotics, human behaviour, computer vision, and speech data programs across India, and we're happy to walk through our process, show sample data, and start with a pilot.