スキルハウス・スタッフィング・ソリューションズ 株式会社
Executive Director - Fintech (Data Science & Treasury Technology) About the Role Join a leading global investment banking organization as Executive Director, leading mission-critical treasury and regulatory technology initiatives at the executive level. This highly strategic role offers direct exposure to senior leadership and global stakeholders, with the opportunity to influence enterprise-wide data and regulatory technology strategy within a complex financial environment. You will spearhead large-scale initiatives covering liquidity management, funding operations, regulatory capital, and front-office domains while working in an international, collaborative environment with significant business impact. Key Responsibilities Lead comprehensive liquidity and regulatory capital reporting initiatives across global treasury and finance domains Define and implement enterprise-level data governance frameworks, standards, and scalable data solutions Act as principal technology architect for big data environments and advanced analytics platforms Partner strategically with treasury, regulatory, compliance, and technology stakeholders to drive transformational initiatives Translate complex treasury funding and liquidity business requirements into robust enterprise technology solutions Provide executive-level leadership and strategic direction for large-scale data transformation programs Collaborate with senior stakeholders across global business and technology functions to ensure alignment with organizational objectives Oversee development and implementation of regulatory reporting systems to ensure compliance with international banking regulations Drive innovation in data analytics and machine learning applications for treasury operations Manage cross-functional teams and coordinate with international offices to deliver unified technology solutions Present strategic recommendations and progress updates to C-suite executives and board members Required Qualifications Experience: Minimum 10 years of hands-on experience across data engineering, analytics, governance, and big data domains Leadership: Proven executive-level leadership experience managing enterprise-scale data initiatives with demonstrable business impact Industry Knowledge: Strong understanding of Treasury Funding and Treasury Liquidity regulations in global banking environments Technical Expertise: Deep knowledge of high-frequency trading systems and front-office technology environments Stakeholder Management: Demonstrated experience communicating effectively with senior executive stakeholders and board-level leadership Education: Bachelor's degree from accredited university; advanced degree in relevant field preferred Languages: Fluent Japanese and advanced English communication skills required Authorization: Valid work authorization for Japan required Preferred Qualifications Advanced degree in Finance, Computer Science, Data Science, or related technical field Experience with cloud-based data platforms and modern analytics frameworks Knowledge of international banking regulations including Basel III/IV requirements Background in financial risk management and regulatory capital optimization Experience with agile project management methodologies Work Environment & Benefits Work Style: Hybrid working model with flexibility for one day work from home per week Schedule: Standard business hours (Monday through Friday) Time Off: Comprehensive holiday package including Saturdays, Sundays, National Holidays, paid leave, and additional company holidays Compensation: Competitive compensation package with annual bonus structure Career Growth: Stable long-term career environment with exposure to enterprise-scale global initiatives Culture: International working environment with extensive senior stakeholder exposure and cross-cultural collaboration opportunities Impact: Direct involvement in shaping the future of financial technology and regulatory compliance in one of the world's leading investment banks This role represents an exceptional opportunity for a seasoned technology executive to make a transformational impact on global treasury operations while advancing their career in a prestigious financial institution.
Aalto University
About the Role Join Aalto University's Department of Electrical Engineering and Automation as a Postdoctoral Researcher in Socially Aware Autonomy, focusing on pedestrian intention prediction, communication, and real-time risk estimation. This position offers an exceptional opportunity to advance cutting-edge research in predictive, human-aware autonomy for industrial vehicles and robots operating in human-populated environments. Working within the Mobile Robotics Group under the supervision of Assistant Professor Tomasz Kucner and Professor Simo Särkkä, you will lead groundbreaking research that bridges the gap between autonomous systems and human safety. Your work will directly contribute to safer, more efficient interactions between autonomous machines and pedestrians in urban and industrial settings. Key Responsibilities Lead research initiatives in socially aware autonomous systems, developing novel approaches to human-machine interaction in dynamic environments Develop and implement advanced pedestrian intention prediction algorithms and trajectory forecasting models that enable proactive safety measures Design human-machine communication protocols that enhance action legibility and improve trust between autonomous systems and human operators Create real-time risk estimation frameworks that enable autonomous vehicles and robots to assess and mitigate potential hazards dynamically Integrate perception and prediction capabilities with robust sensor fusion and distributed computation systems, collaborating closely with the Sensor Informatics and Medical Technology Group Publish high-quality research in top-tier conferences and journals, contributing to the global knowledge base in autonomous systems Develop and maintain codebases that support research reproducibility and enable technology transfer to industrial applications Create compelling demonstrations that showcase research outcomes and validate approaches in realistic scenarios Collaborate with industry partners to translate research findings into practically deployable solutions for logistics, ports, mining, and tunneling applications Contribute to project milestone achievements and participate in dissemination activities including stakeholder events and technology showcases Mentor junior researchers and students, fostering the next generation of experts in socially aware autonomy Participate in international collaborations and research exchanges to advance the field globally Requirements PhD degree in robotics, computer science, electrical engineering, or closely related field Demonstrated expertise in socially aware autonomy, human intention prediction, and real-time risk assessment for human-robot or vehicle-pedestrian interaction scenarios Strong technical background in machine learning and probabilistic modeling specifically applied to motion prediction and behavioral analysis Proven experience with temporal deep learning models and multimodal perception systems for understanding human behavior Publication record demonstrating contributions to autonomous systems, human-robot interaction, or related fields Programming proficiency in relevant languages such as Python, C++, or similar, with experience in machine learning frameworks Experience with real-time systems and understanding of computational constraints in autonomous applications Knowledge of sensor technologies and data fusion techniques commonly used in autonomous vehicles and robotic systems Strong analytical and problem-solving skills with ability to work independently on complex technical challenges Excellent communication skills and demonstrated ability to collaborate effectively with multidisciplinary teams Experience coordinating with academic and industry partners on research projects Preferred Qualifications Experience deploying machine learning models on edge devices or embedded systems Background in safety-critical system design and validation Familiarity with industrial automation environments Previous work in autonomous vehicle development or mobile robotics What We Offer Engagement with leading experts in robust estimation and predictive autonomy within a world-renowned research environment International collaboration opportunities with options for targeted research exchanges and conference participation Direct industrial impact through close collaboration with industry stakeholders in safety-critical domains Access to state-of-the-art facilities and computational resources at Aalto University Professional development support including training opportunities and career advancement pathways Comprehensive benefits package including occupational health care and access to Finland's extensive social security system Competitive compensation commensurate with experience and qualifications Work-life balance in Finland's consistently top-ranked quality of life environment Diverse and inclusive workplace that actively promotes equality and international collaboration This 2.5-year position offers the potential for extension based on performance and funding availability. The starting date is flexible around June 2026, with discussions welcome to accommodate mutual scheduling needs. About Aalto University Aalto University represents the convergence
Aalto University
About the Role Aalto University's Department of Information and Communications Engineering seeks an outstanding Postdoctoral Researcher in Statistical Signal Processing to join the Structured and Stochastic Modeling Group, led by Prof. Filip Elvander. This position offers an exceptional opportunity to conduct cutting-edge research at the intersection of statistical signal processing, applied mathematics, and emerging 6G wireless technologies. The research focuses on modeling complex modern radio environments where diverse devices and agents share available spectrum. This work is crucial for understanding spatio-temporal radio characteristics and lies at the heart of integrated sensing and communications (ISAC), expected to be a core component of next-generation wireless systems. Key Research Focus The project centers on optimal transport for inverse problems applied to radio spectrum analysis. Optimal transport theory, which addresses mathematical problems of comparing and interpolating distributions of mass, has gained significant attention in applied mathematics and machine learning due to its flexibility, mathematical elegance, and state-of-the-art results across numerous applications. As part of a larger consortium with industrial partners, you'll collaborate with world-class researchers spanning estimation and optimization theory to hardware design, contributing to both foundational theoretical advances and industry-relevant applications. Primary Responsibilities Develop mathematical models for describing complex radio environments and multi-agent spectrum sharing scenarios Design and implement algorithms for estimating location and spectral characteristics of signal sources using antenna array measurements Apply optimal mass transport theory and convex modeling techniques to solve inverse problems in signal processing Conduct research in cognitive and adaptive spectrum use, contributing to the development of future wireless systems Investigate passive-sensing applications for target and signal source localization Collaborate with interdisciplinary team members across applied mathematics, signal processing, and communications engineering Publish high-quality research findings in peer-reviewed journals and present at international conferences Contribute to grant applications and research proposals for continued funding Provide guidance and mentorship to doctoral researchers within the group Participate in academic conferences, workshops, and collaborative meetings with consortium partners Engage in knowledge transfer activities with industrial partners Required Qualifications PhD degree in Applied Mathematics, Engineering Physics, Electrical Engineering, or closely related field Strong publication record demonstrating research excellence and impact Excellent English proficiency in both written and spoken communication Advanced programming skills in Matlab and Python, with experience in implementing complex algorithms Deep understanding of statistical signal processing, estimation theory, and optimization methods Knowledge of applied mathematics including convex optimization, probability theory, and statistical modeling Experience with inverse problems and computational mathematics approaches Familiarity with array signal processing and antenna array technologies Preferred Qualifications Background in optimal transport theory or related mathematical frameworks Experience with machine learning applications in signal processing Knowledge of information theory and wireless communications systems Previous exposure to multi-disciplinary research environments Experience mentoring graduate students or early-career researchers Track record of collaboration with industry partners Personal Attributes Curious mindset with passion for fundamental research and theoretical exploration Strong appetite for working with advanced mathematical theory and methods Interest in multi-disciplinary research spanning mathematics, engineering, and communications Collaborative spirit and ability to work effectively in international, diverse teams Leadership potential for guiding and inspiring doctoral researchers Adaptability to work in dynamic research environments with evolving objectives What We Offer The Department of Information and Communications Engineering provides a world-class research environment with strong international collaborations and cutting-edge facilities. You'll join a diverse, multicultural workplace that actively promotes inclusivity and welcomes qualified candidates from all backgrounds. Research Environment Benefits: Access to expertise from world-leading researchers across the consortium Collaborative community of doctoral and postdoctoral researchers State-of-the-art research facilities and computational resources Opportunities for international conference presentations and networking Strong industry connections through consortium partnerships Professional Development: Excellent learning and development opportunities Mentorship and career guidance from established faculty Exposure to both theoretical foundations and practical applications Opportunities to develop grant writing and project management skills University Benefits: Competitive compensation according to Finnish university salary system Comprehensive occupational health care services Commuter ticket benefits and transportation support Access to Unisport recreational and fitness facilities Supportive work-life balance policies Position Details This is a **two-
SA Health
About the Role Join the Southern Adelaide Local Health Network at Flinders Medical Centre as an AI Graduate Officer and launch your career at the forefront of healthcare innovation. This full-time, 12-month contract position offers an exceptional opportunity to contribute to our Digital Health team's cutting-edge AI initiatives while developing expertise in one of healthcare's most rapidly evolving fields. As an Artificial Intelligence Graduate Officer, you will play a vital role in advancing AI-enabled services across our healthcare network. This position combines technical innovation with meaningful healthcare outcomes, allowing you to make a direct impact on patient care through technology solutions. You'll work within a collaborative environment that values innovation, continuous learning, and professional development. Key Responsibilities Assist with the planning, execution, and delivery of AI-related projects and programs across the Digital Health portfolio Support the AI Officer in implementing critical AI activities including governance frameworks, solution evaluation processes, AI education initiatives, and system implementation projects Conduct comprehensive research and analysis to inform AI solution development and strategic decision-making Develop, maintain, and update AI-related documentation, policies, and procedures to enhance service delivery and operational efficiency Analyze complex healthcare data and information systems to identify opportunities for AI enhancement and optimization Contribute to the evaluation and assessment of emerging AI technologies and their potential applications in healthcare settings Support cross-functional collaboration with clinical teams, IT departments, and external agencies to ensure seamless AI integration Participate in stakeholder engagement activities and present findings to various audiences including technical and non-technical staff Monitor AI system performance and outcomes, providing regular reporting and recommendations for improvements Assist in the development of training materials and educational resources for AI tool adoption across the organization Stay current with industry trends, best practices, and regulatory requirements related to AI in healthcare Support quality assurance processes and compliance activities related to AI implementations Requirements Education: Completion of a relevant undergraduate or postgraduate qualification in clinical discipline, ICT, computer science, software engineering, project management, business analysis, or related field Technical Skills: Strong ICT capabilities with demonstrated problem-solving abilities and analytical thinking Independence: Proven capacity to work both collaboratively within team environments and independently on assigned projects AI Experience: Experience using publicly available AI tools for research, analysis, creativity, critical thinking, coding, and/or task automation is highly advantageous Communication: Excellent written and verbal communication skills with the ability to explain technical concepts to diverse audiences Adaptability: Demonstrated ability to learn new technologies quickly and adapt to changing requirements in a dynamic healthcare environment Attention to Detail: Strong organizational skills with meticulous attention to accuracy in documentation and analysis Healthcare Understanding: Knowledge of healthcare systems, clinical workflows, and patient care processes preferred What We Offer Competitive salary package with attractive benefits Comprehensive salary sacrifice benefits program allowing tax-effective payment of everyday expenses Flexible working arrangements including part-time options and various work-from-home possibilities Professional development opportunities in the rapidly growing field of healthcare AI Supportive team environment focused on innovation and continuous learning Access to cutting-edge technology and AI tools Opportunity to make meaningful contributions to patient care and healthcare outcomes Career advancement pathways within the South Australian public health sector Comprehensive onboarding and mentorship programs Additional Information This position requires satisfactory completion of a Criminal History Check and compliance with immunisation requirements as outlined in SA Health's vaccination policy. The South Australian public sector actively promotes diversity and inclusion, encouraging applications from all backgrounds. Aboriginal and Torres Strait Islander applicants are particularly encouraged to apply.
Toyota Material Handling Europe
About the Role Toyota Material Handling Europe is strengthening our Enterprise Architecture (EA) team with a strategic architect who will play a pivotal role in shaping the AI and Data landscape across our European operations. As a key member of our EA team, you will contribute to the full Enterprise Architecture model while focusing on direction, principles, and guardrails that support scalable, harmonized, and business-aligned development. This is a strategic EA position where you will drive alignment, support architectural and investment decisions, and guide our AI program, Data team, Solution Architecture, and business stakeholders by providing structure, direction, and decision support. You will work in close collaboration with established AI, Data, and Security capabilities, connecting perspectives and shaping a coherent architecture rather than implementing technical solutions directly. Key Responsibilities Contribute to and shape enterprise-level AI and Data architecture principles, target states, and reference patterns Drive direction for Information and Data architecture, including data domains, information structure, interoperability, and ownership models Ensure alignment between business needs, AI initiatives, data platforms, and the overall EA model Translate business requirements and transformation objectives into actionable architectural guidance Support decision-making processes in relevant governance and investment forums Collaborate with the AI program, Data team, Solution Architects, CISO, and Legal teams to support scalable, secure, and compliant solutions Contribute to architecture governance and reviews from an AI and data perspective Support business areas in exploring and scaling data-driven and AI-enabled capabilities Help strengthen architectural understanding and ways of working across TMHE Facilitate structured dialogue between technical and business stakeholders Develop and maintain architectural documentation, standards, and best practices Provide guidance on technology selection and platform decisions related to AI and data initiatives Support the development of data governance frameworks and policies Mentor and build architectural maturity within the organization Requirements Broad experience in Enterprise Architecture or related strategic architecture roles Strong understanding of data-driven architecture with genuine interest in AI and emerging capabilities Ability to see the holistic picture and understand how processes, data, applications, and platforms interact to create business value Proven experience engaging with business stakeholders and facilitating structured dialogue Demonstrated ability to translate business needs into architectural guidance and technical direction Comfortable working in data-driven environments where AI increasingly influences business processes Excellent communication skills with ability to explain complex technical concepts clearly and pragmatically Curious, collaborative mindset with confidence to take leadership when required Interest and ability to teach, guide, and build architectural maturity across the organization Strong analytical and problem-solving capabilities Experience with architectural frameworks and methodologies Knowledge of data management principles, data governance, and information architecture Understanding of AI/ML concepts and their enterprise implications Familiarity with cloud platforms and modern technology stacks Experience working in international, multicultural environments Fluent in spoken and written English Relevant education in Computer Science, Information Systems, Engineering, or related field What We Offer At Toyota Material Handling Europe, we don't just offer jobs—we offer careers with purpose. Join over 13,500 passionate colleagues who support companies across Europe with today's and tomorrow's material handling challenges. You'll have the opportunity to work with AI and data at a strategic level in a truly international organization that creates technology keeping the world moving. We're committed to supporting your success with an attractive benefits package, including yearly bonus opportunities and flexible work arrangements that promote healthy work-life balance. With clear goals and direction from senior leadership, you'll find abundant opportunities for career growth and development within our organization. Our culture celebrates continuous learning and development, whether you're developing new skills or leading ground-breaking projects. Collaboration is at the heart of everything we do, and we foster a supportive, open environment where every voice is heard and valued. Work from our headquarters in Mjölby, Sweden, or Willebroek, Belgium, and be part of an extraordinary journey as we Move the world towards easy and sustainable solutions.
Unicredit S.p.A. - Romania Branch
About the Role We are seeking 2 Senior Digital Product Specialists to join our dynamic team at UniCredit, a leading international banking group. These positions offer exciting opportunities to work with cutting-edge technology and drive digital transformation in the financial services industry. Position 1: Senior Digital Product Specialist (Technical – Java & Data) You will take comprehensive technical ownership of digital products within a complex enterprise landscape that combines established systems with innovative solutions across multiple platforms. Our environment encompasses Java-based applications and critical batch processing chains on traditional infrastructures, alongside interfaces and data products being modernized and migrated to Google Cloud Platform (GCP). Simultaneously, new cloud-native components are being developed using modern technologies and architectures. Position 2: Senior Digital Product Specialist (SAP ERP Product Specialist) As an SAP ERP Technical Analyst, you will participate in all aspects of the SAP Application Management lifecycle, including design, customization, testing, and support. Working from our Bucharest office, you will collaborate with technical resources and external partners for daily support activities and new implementation projects within the Group Technology Office Area. Key Responsibilities For Position 1 (Java & Data Specialist): Take full technical ownership of products across their entire lifecycle, including maintenance, optimization, enhancements, and modernization initiatives Drive solution design and implementation using Java/Spring Boot, including development of services and batch processing systems Execute complex troubleshooting and implement permanent remediation strategies covering code, configuration, data, and performance optimization Define and enforce robust operational safety patterns including controlled reruns, correction logic guardrails, and comprehensive recovery mechanisms Coordinate technical delivery with architects, business analysts, and external service providers, establishing clear expectations, quality gates, and escalation procedures Ensure exceptional quality and reliability through proactive incident and problem management with structured root cause analysis Maintain comprehensive technical documentation and operational runbooks Monitor system performance and implement continuous improvements to enhance scalability and reliability For Position 2 (SAP ERP Specialist): Contribute to change projects, maintenance activities, and support operations in partnership with external providers Assess standard SAP solutions against business requirements and evaluate customized solutions for optimal fit Develop technical specifications and collaborate closely with external implementation partners Manage and oversee mainframe jobs and programs to ensure optimal performance Control and guide external teams performing maintenance activities for applications under your responsibility Fulfill security requirements and serve as application owner/expert for assigned systems Act as primary interface between various Business units within the Group and external partners, functioning in an RTO (Retained Technical Organization) capacity Participate in month-end close processes and ensure accurate financial reporting Support end-to-end implementation projects and provide ongoing system optimization Requirements For Position 1 (Java & Data Specialist): Core Technical Skills: Extensive Java experience in enterprise backend development and batch processing Proficiency with Spring Boot, REST APIs, and enterprise integration patterns Solid experience with Java runtime environments and application servers (JBoss/WildFly/Tomcat or equivalent) Strong SQL and Oracle/PL-SQL expertise for data-intensive systems and complex investigations Advanced Linux/Unix skills including runtime troubleshooting, scripting fundamentals, and log/metrics analysis Frontend Capabilities: Ability to troubleshoot end-to-end workflows involving UI layers such as PrimeFaces and/or Angular frameworks Engineering & Delivery Excellence: Proficiency with Git/Bitbucket, CI/CD pipeline management, and release management disciplines Strong documentation mindset and attention to detail Demonstrated ownership mentality with ability to balance stability, delivery timelines, and technical debt management Preferred Qualifications: Experience with modern data platforms and analytical access layers (e.g., Dremio usage/consumption) Exposure to cloud-native architectures and GCP services For Position 2 (SAP ERP Specialist): Hands-on experience with SAP ERP in at least two of the following modules: FI (Financial Accounting), CO (Controlling), RE-FX (Real Estate), SD (Sales & Distribution), MM (Materials Management) Fundamental understanding of SAP FI/CO organizational structures including General Ledger, Cost Centers/Elements, Activity Types/Rates, and Company Codes for global organizations Demonstrated experience with month-end close processes and financial reporting End-to-
Marimekko
About the Role Join Marimekko, a renowned Finnish lifestyle design company, as we transform our business operations through artificial intelligence. This is not a traditional machine learning role – our focus is on building AI into business workflows and products that drive real impact across our global retail operations. Marimekko has been an icon of original prints and colors since 1951, with a product portfolio spanning high-quality clothing, bags, accessories, and home décor items. With over 170 stores globally and an online presence serving 39 countries, we're at the point where AI needs to become integral to how our company operates across Northern Europe, Asia-Pacific, and North America. Key Responsibilities AI Integration & Business Workflow Development Build AI capabilities directly into real business workflows rather than creating isolated use cases Transform AI from experimental technology into scalable, operational capabilities Develop AI-powered solutions across pricing and promotions, assortment and demand forecasting, customer insights and personalization, and retail operations Move beyond traditional dashboards to deliver actionable AI outputs that drive business decisions Technical Implementation & Infrastructure Design and implement LLM-based solutions including copilots and intelligent assistants Build robust data pipelines specifically for AI use cases Establish evaluation, monitoring, and feedback loops for AI systems Work closely with existing data platform infrastructure including Fivetran and Snowflake Develop APIs and integrations that support AI-powered business processes Rapid Prototyping & Strategic Scaling Prototype AI solutions quickly using modern APIs and LLM technologies Make strategic decisions about which solutions should be productionized and scaled Balance development speed with system robustness based on business impact Experiment with emerging AI technologies and evaluate their potential for business application Cross-Functional Collaboration Partner with teams across retail, e-commerce, and operations to identify AI opportunities Help business teams actually implement and use AI solutions effectively Translate business requirements into technical AI solutions Provide guidance on AI best practices and implementation strategies Requirements Technical Expertise Strong hands-on experience with APIs and data pipeline development Proficiency with modern AI stack including LLMs, embeddings, and vector databases Experience building end-to-end AI solutions, not just developing models Understanding of data architecture and integration patterns Familiarity with cloud platforms and scalable system design Business-Focused Mindset Ability to question whether something should be built, not just how to build it Focus on measurable business impact over technical elegance Comfortable working with ambiguity and evolving strategic direction Experience translating business needs into technical requirements Understanding of retail, e-commerce, or consumer goods industry dynamics preferred Professional Qualities Strong problem-solving skills and analytical thinking Excellent communication skills for cross-functional collaboration Self-directed work style with ability to manage multiple priorities Adaptability to work in a fast-paced, international business environment Passion for innovation and emerging technologies What We Offer Company Culture & Values Work with an iconic Finnish brand recognized globally for design excellence Join a company culture founded on equality, inclusion, and diversity Opportunity to be yourself in an environment that values fairness and collaboration Work in an exciting international business environment across multiple markets Professional Development Unique opportunity to shape AI strategy at a leading lifestyle design company Exposure to diverse business functions across retail, e-commerce, and operations Collaborate with talented teams across our global organization Contribute to the digital transformation of an established, successful brand Marimekko values a diverse workforce and encourages applications from all qualified candidates regardless of background. We believe in finding joy in our work while using common sense and working together toward shared goals. Join us in revolutionizing how AI powers the future of retail and lifestyle design.
RECRUITERS
About the Role Are you a Dutch speaker ready to launch your career in the dynamic world of artificial intelligence and technology? We're seeking motivated individuals to join our expanding international team in Dublin, working on cutting-edge AI language technology. This entry-level position offers an excellent gateway into the tech industry, with comprehensive training provided for candidates with no prior experience. This is a 3-month contract position with potential for extension, based on-site in Dublin, Ireland. You'll be joining a brand-new team during an exciting expansion phase, contributing to the development and improvement of AI language systems through detailed linguistic work. Key Responsibilities Listen to and analyze short audio recordings in Dutch with precision and attention to detail Transcribe audio content accurately, maintaining high quality standards Review and validate linguistic content to ensure consistency and accuracy Work with various text, audio, and data formats as part of the AI training process Follow comprehensive quality guidelines and protocols to maintain project standards Support machine learning systems by improving language accuracy and understanding Collaborate with team members to ensure consistent approach to tasks Participate in regular quality assessments and feedback sessions Maintain detailed records of work completed and any issues encountered Contribute to process improvements and best practice development Requirements Native Dutch speaker or C1 proficiency level (ESSENTIAL) English proficiency at B2 level or above Excellent attention to detail and ability to maintain accuracy over extended periods Strong focus and ability to handle repetitive tasks with consistency Reliable, motivated attitude with strong work ethic Ability to work effectively both independently and as part of a team Good time management skills and ability to meet deadlines Basic computer literacy and comfort with digital tools Willingness to learn new technologies and adapt to evolving processes Strong communication skills for collaborative work environment Must be able to commute reliably to Dublin or relocate before starting What We Offer Comprehensive training program - no previous experience required Entry point into the rapidly growing AI and technology sector Opportunity to work with cutting-edge artificial intelligence systems Collaborative international work environment Professional development opportunities within the tech industry Potential for contract extension based on performance and business needs Competitive compensation package Opportunity to be part of a dynamic, newly formed team Exposure to innovative AI language technology projects This role represents an ideal opportunity for Dutch speakers to enter the technology sector and gain valuable experience in artificial intelligence and machine learning. You'll be working at the forefront of language technology development, contributing to systems that are shaping the future of human-computer interaction. Work Location: Dublin, Ireland (On-site) Contract Duration: 3 months with extension possibilities