{"id":917501,"url":"https://alion.io/job/nacre-capital-operations-intern","title":"Operations Intern","company":{"id":6567,"name":"Nacre Capital","domain":"nacrecapital.com","url":"https://alion.io/company/nacre-capital","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wervershoof, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-06T06:15:52Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"We have an exciting full-time internship opportunity at Seed-X, a deep-technology startup operating in the Netherlands, transforming the future of the seed industry using AI and Vision.\nSeed-X has developed the world’s first AI-based seed analysis solution. Our technology optimizes seed and grain supply chains, contributing to a smarter, more secure, and more resilient future for global food systems.\nWe are currently looking to hire a full-time intern as soon as possible to support operations and day-to-day activities at our office in the Netherlands. This internship offers students the opportunity to:\nWork within an international deep-tech company group\nGain hands-on experience at a fast-growing AI and agri-technology startup\nCollaborate with professionals from engineering, data science, business, and innovation backgrounds.\nDevelop practical operations skills within a real startup environment\nWe believe this position would be particularly suitable for HBO students with an interest in technology, operations, data, agriculture, innovation, or business, who are eager to gain real-world experience in a high-impact company.\nResponsibilities:\nAs an Operations Intern at Seed-X, you will support the daily operational activities related to our AI-driven seed analysis technology. Your responsibilities will include:\nOperating and monitoring AI-driven seed sorting machines to process and analyse seed and grain batches.\nConducting phenotyping assessments using our internally developed mobile software.\nProcessing and structuring phenotypical data to support further AI training and algorithm development.\nInspecting, monitoring, and controlling ongoing production processes to ensure quality, consistency, and efficiency.\nSupporting the operations team with hands-on, practical tasks in a real startup production environment.\nProcessing and administrative handling of new customer orders, including data entry, documentation, and internal coordination.\nThis role offers a unique combination of technology, agriculture, and applied operations, providing direct exposure to innovative AI solutions in the agri-tech sector.\nDeliverables:\nDuring the internship, the intern is expected to deliver the following outcomes:\nCorrectly operated and monitored seed analysis and sorting processes, ensuring accurate processing of assigned seed batches.\nQuality control reports or logs documenting inspections and observations of ongoing production processes.\nWell-structured and validated phenotypical datasets prepared for use in AI model training and algorithm development.\nCorrect processing and administrative handling of new customer orders, including data entry, documentation, and internal coordination.\nPreparation of analyzed seed batches for shipment, including labeling, packaging, and readiness for dispatch.\nDemonstrated understanding of end-to-end operational workflows, from order intake and production to 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