BREMEN - Fuhrparksupport in der Campervermietung (m/w/d)

Sumup

Suchst du eine Rolle, in der dein Einkommen wirklich deinen Einsatz widerspiegelt? Dann werde selbstständige*r Field Sales Representative bei SumUp und unterstütze kleine Unternehmen in deiner Region dabei, smartere Payment- und POS-Lösungen zu nutzen – während du dir gleichzeitig ein nachhaltiges, wiederkehrendes Einkommen aufbaust. 🎯 Deine Rolle Diese Position ist komplett im Außendienst und basiert auf persönlichem Kontakt. Du triffst Unternehmer*innen direkt vor Ort, verstehst ihr Geschäft und empfiehlst Lösungen, die ihnen wirklich helfen zu wachsen. Du brauchst keinen Hintergrund im Payment-Bereich. Wenn du bereits im direkten Kundenkontakt gearbeitet hast, schnell Vertrauen aufbaust, Probleme lösen kannst und ehrgeizig bist, hast du hier beste Voraussetzungen, erfolgreich zu sein. 💸 Verdienstmöglichkeiten Dein Einsatz bestimmt dein Einkommen. * Durchschnittlicher Abschlusswert pro Kund*in: ca. 500 € * Du erhältst 50 % Provision direkt beim Abschluss * Zusätzlich 20 % wiederkehrende Provision pro Kund*in – bis zu 2 Jahre * Zusätzliche Provisionen auf Hardware-Verkäufe (Kartenterminals, POS-Systeme etc.) 📈 Was andere verdienen 40 % unserer Field Sales Representatives verdienen 5.000 €+ pro Monat – ein klarer Beleg dafür, was möglich ist, wenn du konsequent arbeitest und dir einen starken Kundenstamm aufbaust. 💡 Deine Aufgaben Als Field Sales Representative wirst du: * Lokale Unternehmen (z. B. Cafés, Salons, Einzelhandel, Restaurants) persönlich besuchen * Starke Beziehungen zu Unternehmer*innen aufbauen * Einfache und effektive Payment- und POS-Lösungen präsentieren * Dein eigenes Vertriebsgebiet und deine Pipeline eigenständig managen * Gespräche in langfristige Kund*innen verwandeln * Zu einer bekannten und geschätzten Ansprechperson in deiner lokalen Business-Community werden 🎥 Einblick in den Job Schau dir das kurze Video an und erhalte einen realistischen Eindruck davon, wie unsere Field Sales Representatives arbeiten, Kund*innen gewinnen und langfristige Beziehungen aufbauen.  https://www.youtube.com/watch?v=Ts0bZKHsvak #SumUpGermanyFS Keywords: Freier Handelsvertreter, Selbstständiger Vertriebsmitarbeiter, Verkäufer,  Account Manager,  Account Executive, Vertriebsmitarbeiter Key Account Manager, Außendienstmitarbeiter, Door to Door, Direktvertrieb, Sales Manager, Handelsvertreter, Freelancer, Freier Mitarbeiter,  Vertrieb   Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.

Constructor Knowledge Labs

Constructor Knowledge Labs (CKL), Bremen, Germany In collaboration with Constructor University and Constructor Technology Duration: Flexible ABOUT THE POSITION Constructor Knowledge Labs (CKL) invites applications for a research internship embedded in the research direction “AI for Semantic Structures, Reasoning Flows & Personalized Content Generation.” The internship is situated within an active research program jointly developed with Constructor University and Constructor Technology, focusing on methods for semantic structure extraction, reasoning-flow modeling, and adaptive content generation in scientific and educational domains. The internship supports ongoing foundational research on the analysis and representation of deep semantic and pedagogical structures in unstructured and semi-structured data. Core themes include semantic parsing, structured NLP, graph-based representations, and learner-aware content modeling. The intern will contribute at an internship level to selected research tasks under close supervision, gaining hands-on experience with research workflows, experimental setups, and prototype systems. The position provides exposure to interdisciplinary research at the intersection of artificial intelligence, natural language processing, knowledge representation, and learning sciences, with clearly scoped responsibilities appropriate for an internship role. MAIN RESPONSIBILITIES: * Prepare and organize research data, including scientific and educational texts, datasets, and related metadata, for use in semantic and reasoning-oriented analyses. * Support the analysis of unstructured and semi-structured data and its transformation into structured representations such as semantic annotations, concept structures, or reasoning graphs. * Assist in selected research experiments related to semantic structure extraction, reasoning-flow modeling, or adaptive content generation, under supervision. * Support the implementation and evaluation of baseline models, analysis pipelines, or prototype components. * Conduct literature review and contribute to research documentation and internal reports. * Participate in regular research meetings and collaborative discussions within the research team. REQUIREMENTS: * Currently enrolled in a BSc or MSc program in Computer Science, Artificial Intelligence, Data Science, Computational Linguistics, Cognitive Science, or a closely related field. * Solid programming skills, preferably in Python, with basic experience in data processing or machine learning workflows. * Foundational familiarity with concepts in machine learning and/or natural language processing. * Strong analytical thinking and interest in research-oriented work. * Ability to read and summarize scientific literature. * Good written and spoken English. WE OFFER * Research internship with flexible duration in an international, interdisciplinary research environment. * Participation in active research projects at the intersection of AI, knowledge systems, and applied research, with a clearly scoped internship-level contribution. * Close supervision and mentoring by leading PIs and senior researchers, whose work shapes current research agendas and attracts significant scholarly attention and citations. * Opportunity to contribute to academic publications, embedded in established research groups with consistent presence at top-tier conferences and journals. * Flexible working arrangements, including hybrid or remote options. APPLICATION DETAILS Please submit the following documents in English: * CV * Short motivation letter (max. 1 page) explaining your interest and relevant skills * Transcript of records (GPA obligatory) Deadline for full consideration: Applications are reviewed on a rolling basis

Constructor Knowledge Labs

Constructor Knowledge Labs (CKL), Bremen, Germany In collaboration with Constructor University and Constructor Technology Duration: Flexible ABOUT THE POSITION Constructor Knowledge Labs (CKL) invites applicants for a research internship in the area of knowledge discovery and representation, with a focus on transforming unstructured data into interpretable, navigable, and actionable cognitive structures. The internship is embedded in an active research direction jointly developed with Constructor University and Constructor Technology, exploring how modern AI systems (particularly large language models and graph-based methods) can be used to construct shared cognitive maps from heterogeneous knowledge sources such as scientific publications, educational materials, and digital artifacts. The intern will work closely with researchers and engineers on ongoing research activities, contributing to the design, implementation, and evaluation of methods for knowledge representation, semantic structuring, and adaptive reasoning. The position offers hands-on exposure to applied research at the intersection of AI, knowledge graphs, and human-centered knowledge systems. ---------------------------------------------------------------------------------------------------------------------------------- MAIN RESPONSIBILITIES: * Prepare and organize research data, including text collections, research publications, datasets, and related metadata, for use in analytical and modeling tasks. * Work with unstructured and semi-structured data, supporting its analysis and transformation into structured representations such as knowledge graphs, semantic annotations, or concept mappings. * Assist in selected research experiments and analytical tasks related to knowledge discovery, reasoning, or information extraction, under supervision. * Conduct literature review and support research documentation, with potential contribution to internal reports or academic publications. ---------------------------------------------------------------------------------------------------------------------------------- REQUIREMENTS: * Currently enrolled in a BSc or MSc program in Computer Science, Data Science, AI/ML, or a closely related field. * Solid programming skills, preferably in Python. * Basic familiarity with machine learning concepts and data processing workflows. * Strong analytical thinking and interest in research-oriented work. * Good written and spoken English. ---------------------------------------------------------------------------------------------------------------------------------- WE OFFER * Research internship with flexible duration in an international, interdisciplinary research environment. * Participation in active research projects at the intersection of AI, knowledge systems, and applied research, with a clearly scoped internship-level contribution. * Close supervision and mentoring by leading PIs and senior researchers, whose work shapes current research agendas and attracts significant scholarly attention and citations. * Opportunity to contribute to academic publications, embedded in established research groups with consistent presence at top-tier conferences and journals. * Flexible working arrangements, including hybrid or remote options. ---------------------------------------------------------------------------------------------------------------------------------- APPLICATION DETAILS Please submit the following documents in English: * CV * Short motivation letter (max. 1 page) explaining your interest and relevant skills * Transcript of records (GPA obligatory) Deadline for full consideration: Applications are reviewed on a rolling basis