AI Go-live intern

Support AI onboarding outcomes against success metrics and customer KPIs including quality, reliability, and time-to-value. Execute onboarding cycles using internal tools and help iterate as new data and edge cases appear.

What you'll do

• 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

What you'll need

• 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
• Strong ownership mindset: you follow things through and keep improving after the initial push
• Comfortable with technical systems (no ML background required, but you can reason about symptoms and inputs)
• Manufacturing or process exposure is a strong plus

What they offer

• Employee Share Options Program for permanent employees
• Urban Sports club membership and quarterly team retreats
• Hands-on experience in an AI-first software company working on real-world impact
• Flat hierarchy, open 360° feedback, and flexible working hours
• Diverse team (10+ nationalities) and network with professionals in the field