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CRUISE

Instructional Content · AI Operations · Training Systems

Conceptual Cruise training interface created by Christian Virgil Reyes
Ground Truth Operations · Autonomous Vehicle Data
Professional Experience

Instructional Content Creator

Focus: Training Design · Video Production · Information Architecture · AI Data Operations

At Cruise, Christian translated complex autonomous-vehicle data workflows into clear, practical training systems for distributed operational teams. Working between Cruise data stakeholders, Ground Truth Operations, and international vendor workforces, he developed step-by-step learning materials that helped teams understand project objectives, labeling standards, and quality expectations across LIDAR- and RADAR-supported initiatives.

His work included building and maintaining Google Sites curricula, designing vendor taxonomies and navigation systems, producing tutorial videos, writing data briefs, supporting live virtual training sessions, and reviewing labeled street-data outputs for accuracy. The role required turning highly technical concepts into concise visual instruction that could be understood and applied consistently across global teams.

NDA notice: Cruise maintained strict confidentiality and a zero-tolerance policy for removing internal materials. The visuals below are portfolio-safe conceptual recreations and selected non-confidential representations of the formats, systems, and instructional approaches Christian created. For a more detailed discussion of his responsibilities and impact, please contact him directly.
01

Training Systems & Information Architecture

Designed vendor-facing taxonomies and navigation systems, then populated Google Sites curricula with simplified explanations of complex LIDAR- and RADAR-related projects. The goal was to make technical objectives, object classes, and labeling standards easier to understand and apply across international vendor teams.

02

Tutorial Video Production

Produced and edited step-by-step tutorial videos for specific AI data-labeling projects. Each video clarified the relevant street-data objective, demonstrated the required workflow, and highlighted target objects, edge cases, and quality-control expectations.

03

Data Review & Quality Tracking