Applied AI Intern

About this role

Responsibilities

• Support onboarding outcomes against success metrics and customer KPIs (quality, reliability, time-to-value)
• Help execute onboarding cycles using internal tools, then help revisit and iterate as new data and edge cases appear
• Check input data quality and flag issues early (camera angle, occlusion, anonymization, variance, missing detections)
• Help spot and document edge cases and SOP/process variance; contribute to a diverse, up-to-date dataset
• Communicate progress, metrics movement, and blockers clearly to your team; suggest concrete next steps
• Help improve the onboarding process over time: checklists, docs, templates, and tool improvement ideas based on real usage
• Support coordination with installation teams to help camera setups deliver reliable onboarding and cross-station consistency
• You are
• A student or recent grad interested in a structured execution role (implementation, QA, solutions engineering, ops/industrial engineering, data ops, or similar)
• Metrics-minded: you like defining "good," tracking it, and pushing to improve it
• Detail-oriented and reliable with process execution (no skipped steps, good documentation habits)
• A fast, concise communicator who raises issues early and clearly
• Someone with a strong ownership mindset: you follow things through and keep improving after the initial push
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