AI Go-live intern

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 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 Comfortable with technical systems (no ML background required, but you can reason about symptoms and inputs) Manufacturing or process exposure is a strong plus #LI-Onsite #LI-SP1 What we offer Employee Share Options Program for all permanent employees* An increasing benefits list: currently includes Urban Sports club and quarterly team retreats. Be on the forefront in defining what artificial intelligence means in manufacturing Gain hands-on experience in working in an AI-first software company Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact Network with professionals and leaders in the field, opening doors to potential future career opportunities We have a very flat hierarchy, open 360° feedback, and flexible working hours Ethics⚖: We are committed to developing ethical AI software Don't meet all the requirements? Almetra is committed to creating a workplace that is diverse, fair, and inclusive.