Role Description Du unterstützt unser Entwicklungsteam direkt bei der Vorbereitung von Trainingsdaten für unsere KI-Modelle. Deine Kernaufgaben umfassen: - Präzise Datenannotation: Du annotierst Bilddaten für Aufgabenbereiche wie Segmentierung (Segmentation) und Objekterkennung (Detection) mit hoher Genauigkeit. - Qualitätskontrolle: Du überprüfst bereits annotierte Datensätze auf Fehler und Konsistenz, um eine hohe Trainingsqualität unserer Algorithmen sicherzustellen. - Datenmanagement: Unterstützung bei der Verwaltung und Strukturierung der Datensätze in unserer Pipeline. Qualifications - Du bist aktuell an einer deutschen Hochschule eingeschrieben. - Du arbeitest sorgfältig, detailgenau und zuverlässig. - Du verfügst über einen eigenen Laptop/PC (Windows oder Linux). - Du kannst uns 10–20 Stunden pro Woche unterstützen und bist an einer längerfristigen Zusammenarbeit interessiert. - Gute Deutsch- oder Englischkenntnisse. Requirements - Erfahrung im Umgang mit Annotationstools (z. B. CVAT, LabelImg) ist von Vorteil (aber kein Muss). - Studium im technischen oder naturwissenschaftlichen Bereich (Informatik, Physik, Maschinenbau o. ä.). - Grundlegendes Interesse an Themen wie Deep Learning oder Computer Vision. Benefits - Remote-first Setup: Du kannst größtenteils von überall arbeiten. - Direkten Einblick in ein hochaktuelles Technologiefeld. - Eigenverantwortliches Arbeiten mit echter Lernkurve. - Flache Hierarchien, ein motiviertes Team und keine Langeweile. - Bei guter Zusammenarbeit: Option auf Einstieg nach dem Studium.

Role Description The Scheduling Specialist plays a critical role in coordinating and managing audit schedules to ensure efficient execution and compliance with industry standards. This position is responsible for: - Working closely with auditors, clients, and internal teams to optimize scheduling of audits. - Minimizing scheduling conflicts. - Maintaining high-quality service delivery. The ideal candidate is: - Organized. - Detail-oriented. - Capable of managing multiple priorities in a fast-paced environment. Strong communication and problem-solving skills are essential, as the role requires regular collaboration with various stakeholders to facilitate seamless audit scheduling and execution. Qualifications - Strong organizational skills. - Detail-oriented mindset. - Ability to manage multiple priorities. - Excellent communication skills. - Problem-solving abilities. Company Description With a legacy spanning more than 80 years, NSF leverages science and innovation to improve human and planet health. We provide: - Science-driven, independent testing, inspection, certification, and advisory services. - Development of standards that drive the food, water, and life sciences industries worldwide. We empower our clients to navigate shifting regulations to improve consumer health, safety, and quality of life. One of our core values is We Are One NSF, which means that while we’re one team, we embrace the cultural, ethnic, language, and demographic diversity that reflects the societies in which we live and work. NSF provides a holistic suite of value-added digital, information security and sustainability solutions that span our core industries of food, water and life sciences. Our client-focused teams have deep industry expertise and are committed to supporting the journey to certification, helping to empower organizations to drive process and performance improvements for products, people, and the planet.

• Design, develop, and execute comprehensive test plans, test cases, and test scripts. • Perform manual and automated testing across web, mobile, and Windows desktop applications. • Execute functional, regression, integration, smoke, exploratory, compatibility, and performance testing activities. • Validate new features and enhancements against business and technical requirements. • Ensure software quality throughout the entire development lifecycle. • Design, build, maintain, and improve automated test frameworks and test suites. • Develop and execute automated tests using tools such as Ranorex, Mabl, Postman, Selenium, or similar platforms. • Expand automation coverage across critical workflows and business processes. • Integrate automated testing into CI/CD pipelines and release processes. • Leverage AI-powered testing tools and automation capabilities to improve testing efficiency and coverage. • Identify, document, reproduce, and track software defects. • Collaborate with developers to investigate root causes and validate fixes. • Perform risk assessments and support defect prioritization efforts. • Participate in root cause analysis activities and recommend preventive actions. • Work closely with Product Managers, Developers, Technical Support, and other stakeholders to ensure quality standards are met. • Participate in Agile ceremonies including sprint planning, backlog refinement, standups, retrospectives, and release planning. • Provide testing estimates, risk assessments, and release readiness recommendations. • Promote a shift-left testing culture and advocate for quality best practices. • Manage and maintain test environments, test data, and testing configurations. • Utilize Azure DevOps for test management, defect tracking, reporting, and collaboration. • Support testing activities in cloud and virtualized environments. • Maintain testing documentation and ensure traceability of testing efforts. • Assist with the investigation and validation of customer-reported issues. • Work alongside Engineering and Support teams to diagnose production issues. • Verify fixes and support quality assurance activities for production releases.

• Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance, including data quality, data management, AI lifecycle governance, and ethical AI controls. • Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks. • Perform reperformance testing, sampling, and evidence validation to assess control execution. • Apply professional judgment to determine control effectiveness, identify control gaps, and assess residual risk. • Provide risk, control, and process advisory support to business and technology partners related to Data and AI governance. • Advise on control design, control enhancements, and process improvements to address identified risks or emerging governance expectations. • Support and provide input into risk assessments, including identification of inherent risks, evaluation of mitigating controls, and assessment of control coverage. • Assist stakeholders in understanding risk and control expectations, governance standards, and testing outcomes. • Offer guidance on data and AI governance best practices, including alignment to internal policies, standards, and risk frameworks. • Support proactive risk management efforts by identifying potential control weaknesses or governance gaps outside of formal testing cycles. • Lead and conduct walkthroughs with control owners and stakeholders to understand end-to-end processes related to in-scope control activities. • Document process flows, control descriptions, and key risks based on walkthroughs and artifact reviews. • Develop and maintain a working understanding of how data and AI controls operate within business and technology processes, enabling both testing and advisory activities. • Analyze and assess business and governance artifacts, including: Data governance policies, standards, and procedures Data lineage, metadata, and data quality documentation AI governance artifacts (e.g., model lifecycle documentation, approvals, monitoring evidence). • Evaluate whether artifacts sufficiently demonstrate control design, operating effectiveness, and risk mitigation. • Provide advisory feedback to stakeholders where artifacts or documentation do not fully support risk and control expectations. • Identify, document, and clearly articulate control deficiencies, design gaps, and operating issues, including root cause analysis. • Draft clear, risk-based issue descriptions and contribute to discussions on risk severity and impact. • Provide actionable, practical recommendations that balance risk mitigation with business and operational considerations. • Communicate testing results, risk insights, and advisory recommendations to stakeholders in a clear and professional manner. • Act as a primary testing and advisory contact for business partners, technology teams, and risk partners for assigned areas. • Partner with stakeholders to clarify control intent, evidence expectations, risk ownership, and remediation approaches. • Support ongoing governance forums, working groups, or risk discussions related to Data and AI governance. • Contribute to continuous improvement of Data & AI governance testing and advisory practices. • Create and maintain high-quality testing and advisory documentation, including workpapers, test scripts, walkthrough notes, risk assessments, and conclusions. • Ensure work meets quality standards, methodology requirements, and service level expectations while maintaining appropriate independence.