Why This Role Stands Out
This AI Go-live intern role offers a fantastic opportunity to gain hands-on experience in a cutting-edge field, directly impacting customer success and product iteration with a focus on quality and efficiency. You'll thrive here if you are a detail-oriented, metrics-driven individual eager to learn and contribute to a dynamic team. Don't miss out on this chance to grow your career!
Quick Overview
Job Description
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. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.
*Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.
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