Electrical contractor data for AI starts with a controlled training setup

Electrical service companies know how technicians turn a messy symptom into a verified repair. Scale AI names electrical field services in its operational-data partnership. micro1 separately names electrical installations in its trade capture program. FineART shows a public use of step-level labels in physical AI. Confirm that a specific buyer accepts your task, permissions and recording conditions before collecting. Scale data partnership · FineART dataset and model · micro1 trade recording

Use an approved training board with a qualified instructor and follow your organization's safety procedures. Choose a benign task such as identifying mock breaker labels or documenting component positions on a de-energized trainer. A fixed camera can show the full board, while a first-person camera can show what the trainee looks at. Write the start state, hand action, visible component, result and unsafe or ambiguous examples as separate labels. Keep energized work, customer panels, proprietary drawings, access codes and site identifiers out of the collection. Avoid wearing any device that interferes with work, protective equipment or situational awareness.

A document-only first sample could be a reconstructed troubleshooting ticket that shows symptom, test type, diagnostic decision and outcome. A buyer can then say whether their goal is ticket triage, field-service reasoning, component identification, or video understanding. OSHA electrical standards

First step. Send a description of the trainer, proposed task and permissions. Hold recordings until the scope, safety and buyer requirements are agreed. Describe collection capability.