Ecareer

Role Description Vi söker en engagerad och pedagogisk utbildare till en yrkeshögskoleutbildning inom specialistundersköterska med inriktning psykiatri. Uppdraget passar dig som har gedigen erfarenhet inom psykiatri, somatiska sjukdomar och funktionsnedsättningar – och som brinner för vuxenutbildning och kunskapsutveckling. Du ansvarar för att planera, genomföra och följa upp en kurs på distans inom yrkeshögskolan. Kursen omfattar bland annat: - Psykiatriska och somatiska sjukdomar - Funktionsnedsättningar - Pedagogiskt stöd och individanpassning - Examination och återkoppling till studerande Fysiska träffar kan förekomma vid vissa examinationsmoment. Omfattning: - Kursperiod: ca 12 veckor - Studietakt: 50 % - Distansundervisning - Cirka 48 lärarledda timmar per kursomgång - Uppdraget kan återkomma vid flera kurstillfällen under kommande år Qualifications - Relevant utbildning och aktuell yrkeserfarenhet inom psykiatri och/eller funktionsnedsättningar - Erfarenhet av undervisning för vuxna, gärna inom YH-utbildning - Pedagogisk, flexibel och strukturerad - God digital vana och trygg med distansundervisning - Förmåga att skapa ett inkluderande och engagerande lärande Requirements - Skapa kursupplägg - Planera och hålla föreläsningar och handledning - Ta fram examinationsunderlag - Bedöma och betygsätta studerande - Anpassa undervisning utifrån olika behov och erfarenheter - Samarbeta med utbildningsledare och övriga utbildare Benefits - Ett meningsfullt och utvecklande uppdrag - Möjlighet att påverka kursens upplägg och innehåll - Samarbete med engagerade kollegor inom vuxenutbildning - Flexibelt distansarbete

Role Description Vi söker dig som vill vara med och utbilda framtidens underhållstekniker genom en engagerande och modern distansutbildning inom yrkeshögskolan. Som kursansvarig utbildare kommer du att planera, genomföra och följa upp kursen Matematik för underhållstekniker. Du får möjlighet att påverka kursupplägg och undervisning tillsammans med utbildningsledningen och bidra med din kompetens och erfarenhet till våra studerande. Om uppdraget: - Kurs: Matematik för underhållstekniker - Studieform: Distans - Omfattning: 6 veckor på heltid - Period: cirka 26 oktober – 4 december 2026 - Lärarledda timmar: 60 timmar Arbetsuppgifter: - Planera och genomföra undervisning - Ta fram kursmaterial och kursupplägg - Skapa examinationer och bedömningsunderlag - Ansvara för rättning och betygssättning Qualifications - Har relevant kompetens inom matematik och teknikområdet - Har erfarenhet av att undervisa vuxna - Är pedagogisk, flexibel och kommunikativ - Har god digital vana och känner dig trygg i distansundervisning - Kan anpassa undervisningen efter olika individers behov och erfarenheter Requirements - Det är meriterande om du har erfarenhet av yrkeshögskoleutbildningar och arbete med digital examination. Benefits - Ett flexibelt och utvecklande uppdrag - Möjlighet att påverka kursens innehåll och upplägg - Samarbete med engagerad utbildningsledning - Ett meningsfullt arbete där du bidrar till framtidens kompetensförsörjning Vi ser gärna att du är engagerad, lösningsorienterad och brinner för lärande och utveckling. Hör gärna av dig om du vill veta mer om uppdraget – vi ser fram emot din ansökan!

• Develop and maintain mobile applications for iOS and/or Android • Work with modern app development frameworks and technologies • Collaborate with the team to design, test, and launch new features • Identify and resolve bugs, performance issues, and technical problems • Ensure applications are user-friendly, secure, and scalable • Participate in planning, technical discussions, and product improvements

Role Description We are seeking an AI Trainer with specialization in the Product and R&D organization. The trainer will design and deliver practical learning programs that enable employees, managers, and functional specialists to use AI responsibly in real work. This role emphasizes hands-on capability building aligned to Product and R&D workflows, rather than generic AI lectures. The trainer will partner with: - Product leaders - Product managers - Researchers - Designers - Engineers - Innovation teams - Data teams - Marketing - Sales - Customer success - Executive stakeholders Training will directly support: - Customer insight analysis - Product discovery - Concept testing - Roadmap planning - Technical documentation - Research workflows - Responsible AI practices within product and innovation environments The mission is to help Product and R&D teams identify where AI can create value, understand how to use it safely, and integrate it into everyday work. The trainer will strengthen confidence, reduce uncertainty, and provide practical methods participants can apply immediately. Each session should include: - Business context - Relevant real-world examples - Guided exercises - Clear guidelines for responsible AI use Qualifications - Experience in AI training, corporate learning, enablement, consulting, digital transformation, or specialist work within Product and R&D - Strong understanding of product discovery, customer insight analysis, roadmap planning, technical documentation, research workflows, and innovation processes - Ability to explain AI concepts in clear, practical language without sacrificing professional accuracy - Experience facilitating remote, hybrid, or on-site workshops for professional audiences - Ability to create exercises, templates, examples, and demonstrations that participants can apply in their day-to-day work - Knowledge of research validation, intellectual property, customer data privacy, responsible AI usage, and risks related to AI-driven product development - Strong communication, facilitation, classroom management, and stakeholder alignment skills - Ability to work effectively with global participants across diverse cultures, time zones, and varying technical skill levels Requirements - Design and deliver AI training programs for Product and R&D employees, managers, specialists, analysts, and senior stakeholders - Create department-specific workshops, learning paths, exercises, prompt templates, role-based scenarios, and workflow demonstrations - Teach practical AI use cases connected to product discovery, customer insight analysis, concept testing, roadmap planning, technical documentation, and research knowledge management - Explain generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making in clear, business-focused language - Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings as needed - Develop training materials such as slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits - Collaborate with implementation teams, IT, security, legal, and functional leaders to ensure training reflects approved tools and governance standards - Evaluate training outcomes using participant feedback, adoption data, skill assessments, and business impact metrics How to Apply Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact. Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate. The selection process will emphasize practical capability, communication quality, business judgment, and the ability to make AI useful in real departmental workflows.

Role Description We are looking for an AI Trainer specializing in the Supply Chain and Procurement function. The trainer will design and deliver practical learning programs that help employees, managers, and functional specialists use AI responsibly in day-to-day work. This role prioritizes practical capability building tied to real Supply Chain and Procurement workflows, rather than generic AI lectures. The trainer will collaborate with: - Procurement leaders - Supply chain managers - Planners - Logistics teams - Finance - Operations - Legal teams - Suppliers - IT stakeholders Training will directly support: - Supplier analysis - Demand forecasting - Inventory planning - Sourcing preparation - Logistics monitoring - Contract support - Responsible AI usage within supply chain and procurement environments The mission is to help Supply Chain and Procurement teams understand where AI can create value, how to use it safely, and how to integrate it into everyday work. The trainer must strengthen confidence, reduce confusion, and provide practical methods that participants can apply immediately. Each session should incorporate: - Business context - Live examples - Guided exercises - Clear guidelines for responsible AI usage Qualifications - Experience in AI training, corporate learning, enablement, consulting, digital transformation, or specialist work within Supply Chain and Procurement. - Strong understanding of supplier analysis, demand forecasting, inventory planning, sourcing workflows, logistics operations, and procurement processes. - Ability to explain AI concepts in simple, practical language without sacrificing professional accuracy. - Experience facilitating remote, hybrid, or on-site workshops for professional audiences. - Ability to create exercises, templates, examples, and demonstrations that participants can apply in their daily work. - Understanding of supplier data quality, commercial sensitivity, operational risks, responsible AI usage, and decision-making in supply chain contexts. - Strong communication, facilitation, classroom management, and stakeholder alignment skills. - Ability to work effectively with global participants across different cultures, time zones, and technical skill levels. Requirements - Design and deliver AI training programs for Supply Chain and Procurement employees, managers, specialists, analysts, and senior stakeholders. - Develop department-specific workshops, learning paths, exercises, prompt templates, role-based scenarios, and workflow demonstrations. - Teach practical AI use cases connected to supplier analysis, demand forecasting, inventory planning, sourcing preparation, logistics monitoring, contract support, and supplier risk management. - Explain generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making in clear, practical business language. - Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings when required. - Create training materials such as slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits. - Partner with implementation teams, IT, security, legal, and functional leaders to ensure training reflects approved tools and governance standards. - Evaluate training outcomes through participant feedback, adoption data, skill assessments, and business impact indicators. How to Apply Please submit a CV or professional profile along with a short note describing your relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact. Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate. The selection process will focus on practical capability, communication quality, business judgment, and the ability to make AI effective in real departmental workflows.

Role Description We are seeking an AI Trainer specializing in the Operations department. The trainer will design and deliver practical learning programs that help employees, managers, and functional specialists use AI responsibly in everyday work. The role emphasizes practical capability building tied to real Operations workflows, rather than generic AI lectures. The trainer will collaborate with Operations leaders, process owners, frontline managers, analysts, quality teams, workforce planners, IT, and business unit leaders to develop department-specific workshops, hands-on exercises, prompt libraries, workflow demonstrations, and adoption materials. Training will directly support: - Process mapping - Bottleneck analysis - Workforce planning - Scheduling - Operational reporting - Quality monitoring - Responsible AI usage in operational processes The mission is to help Operations teams understand where AI can create value, how to use it safely, and how to integrate it into daily responsibilities. The trainer will build confidence, reduce uncertainty, and provide practical methods participants can apply immediately. Each session should combine business context, live examples, guided exercises, and clear guidelines for responsible AI usage. Core Responsibilities - Design and deliver AI training programs for Operations employees, managers, specialists, analysts, and senior stakeholders. - Create department-specific workshops, learning paths, exercises, prompt templates, role-based scenarios, and workflow demonstrations. - Teach practical AI use cases connected to process mapping, bottleneck analysis, workforce planning, scheduling, operational reporting, quality monitoring, and continuous improvement. - Explain generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making in clear, business-relevant language. - Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings as needed. - Develop training materials including slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits. - Partner with implementation teams, IT, security, legal, and functional leaders to ensure training aligns with approved tools and governance standards. - Evaluate training outcomes through participant feedback, adoption data, skill assessments, and business impact indicators. Qualifications - Experience in AI training, corporate learning, enablement, consulting, digital transformation, or specialist work within Operations. - Strong understanding of process mapping, bottleneck analysis, workforce planning, scheduling, operational reporting, quality monitoring, and core Operations workflows. - Ability to explain AI concepts in simple, practical language while maintaining professional precision. - Experience facilitating remote, hybrid, or on-site workshops for professional audiences. - Ability to create exercises, templates, examples, and demonstrations that participants can apply directly in daily work. - Knowledge of operational risks, data quality, process exceptions, safety considerations, and responsible AI usage in operational environments. - Strong communication, facilitation, classroom management, and stakeholder alignment skills. - Ability to work effectively with global participants across different cultures, time zones, and varying technical skill levels. How to Apply Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact. Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate. The selection process will prioritize practical capability, communication quality, business judgment, and the ability to make AI valuable in real departmental workflows.

Role Description We are seeking an AI Trainer specializing in the Customer Service department. The trainer will design and deliver practical learning programs that help employees, managers, and functional specialists use AI responsibly in everyday work. This role emphasizes practical capability building tied directly to real Customer Service workflows, rather than generic AI lectures. The trainer will collaborate with customer service leaders, contact center managers, support agents, quality teams, customer experience teams, IT, and data privacy teams to develop department-specific workshops, hands-on exercises, prompt libraries, workflow demonstrations, and adoption materials. Training will connect directly to: - Ticket handling - Response drafting - Case summarization - Knowledge-base workflows - Customer feedback analysis - Service quality monitoring - Responsible AI use within customer service processes The mission is to help Customer Service teams understand where AI can create value, how to use it safely, and how to integrate it into daily operations. The trainer must strengthen confidence, reduce uncertainty, and provide practical methods participants can apply immediately. Each session should blend business context, live examples, guided exercises, and clear guidelines for responsible AI use. Qualifications - Experience in AI training, corporate learning, enablement, consulting, digital transformation, or specialist work within Customer Service. - Strong understanding of ticket handling, response drafting, customer communication, service quality monitoring, knowledge-base workflows, and support operations. - Ability to explain AI concepts in clear, practical terms without sacrificing professional accuracy. - Experience facilitating remote, hybrid, or on-site workshops for professional audiences. - Ability to develop exercises, templates, examples, and demonstrations that participants can apply in their daily work. - Knowledge of customer privacy, communication quality, escalation management, responsible AI use, and empathy in customer service environments. - Strong communication, facilitation, classroom management, and stakeholder alignment skills. - Ability to work effectively with global participants across different cultures, time zones, and technical skill levels. Requirements - Design and deliver AI training programs for Customer Service employees, managers, specialists, analysts, and senior stakeholders. - Create department-specific workshops, learning paths, exercises, prompt templates, role-based scenarios, and workflow demonstrations. - Teach practical AI use cases linked to ticket handling, response drafting, case summaries, knowledge-base workflows, customer feedback analysis, and service quality monitoring. - Explain generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making using clear, practical business language. - Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings when required. - Develop training materials such as slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits. - Partner with implementation teams, IT, security, legal, and functional leaders to ensure training reflects approved tools and governance standards. - Evaluate training outcomes through participant feedback, adoption data, skill assessments, and business impact measures. How to Apply Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact. Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included as appropriate. The selection process will focus on practical capability, communication quality, business judgment, and the ability to make AI valuable within real departmental workflows.

Role Description We are seeking an AI Trainer specialized in the Marketing department. The trainer will design and deliver practical learning programs that help employees, managers, and functional specialists use AI responsibly in real work. The role emphasizes practical capability building grounded in authentic Marketing workflows, rather than generic AI lectures. The trainer will collaborate with Marketing leadership and teams, including brand and content teams, digital and performance marketing specialists, as well as Legal, Data, agencies, and regional teams, to develop department-specific workshops, hands-on exercises, prompt libraries, workflow demonstrations, and adoption materials. Training will directly support: - Campaign planning - Creative briefing - Content production - SEO and audience research - Customer segmentation - Performance reporting - Responsible AI use in marketing-related processes The mission is to enable Marketing teams to understand where AI can create value, how to use it safely, and how to integrate it into everyday work. The trainer will build confidence, reduce uncertainty, and provide practical methods participants can apply immediately. Each session should combine business context, live examples, guided exercises, and clear rules for responsible AI usage. Core Responsibilities - Design and deliver AI training programs for Marketing employees, managers, specialists, analysts, and senior stakeholders. - Develop department-specific workshops, learning paths, exercises, prompt templates, role-based scenarios, and workflow demonstrations. - Instruct on practical AI use cases connected to campaign planning, content production, SEO research, customer segmentation, performance reporting, and brand governance. - Explain generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making in clear, business-relevant language. - Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings when required. - Create training materials such as slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits. - Partner with implementation teams, IT, security, Legal, and functional leaders to ensure training reflects approved tools and governance standards. - Evaluate training outcomes through participant feedback, adoption data, skill assessments, and business impact indicators. Qualifications - Experience delivering AI training, corporate learning, enablement, consulting, digital transformation, or specialized work within Marketing. - Strong understanding of campaign planning, content production, SEO research, customer segmentation, performance reporting, and marketing operations. - Ability to explain AI concepts in simple, practical language while maintaining professional accuracy. - Experience facilitating remote, hybrid, or on-site workshops for professional audiences. - Ability to create exercises, templates, examples, and demonstrations that participants can apply in daily work. - Knowledge of brand consistency, copyright, factual accuracy, customer data protection, and responsible AI usage in marketing environments. - Strong communication, facilitation, classroom management, and stakeholder alignment skills. - Ability to work effectively with global participants across different cultures, time zones, and technical skill levels. How to Apply Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of measurable business impact. Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate. The selection process will prioritize practical capability, communication quality, sound business judgment, and the ability to make AI valuable in real departmental workflows.

Role Description We are seeking an AI Trainer specializing in the Sales department. The trainer will design and deliver practical learning programs that help employees, managers, and functional specialists use AI responsibly in real work. The role emphasizes hands-on capability building tied directly to Sales workflows, rather than generic AI instruction. The trainer will collaborate with Sales leadership, account executives, business development, revenue operations, marketing, customer success, legal, and CRM administrators to develop department-specific workshops, guided exercises, prompt libraries, workflow demonstrations, and adoption resources. Training will directly support: - Prospecting workflows - Lead qualification - CRM management - Meeting preparation - Proposal development - Forecasting support - Responsible AI use within Sales-related processes The mission is to help Sales teams understand where AI can create value, how to use it safely, and how to integrate it into everyday work. The trainer must strengthen confidence, reduce confusion, and provide practical methods participants can apply immediately. Each session should combine business context, live examples, guided exercises, and clear guidelines for responsible AI use. Qualifications - Experience in AI training, corporate learning, enablement, consulting, digital transformation, or specialist work within Sales. - Strong understanding of prospecting workflows, lead qualification, CRM management, proposal development, forecasting support, and sales operations. - Ability to communicate AI concepts in accessible, practical language while maintaining professional accuracy. - Experience facilitating remote, hybrid, or on-site workshops for professional audiences. - Ability to create exercises, templates, examples, and demonstrations that participants can apply in their day-to-day work. - Understanding of customer confidentiality, CRM data quality, responsible AI usage, and communication standards in Sales environments. - Strong communication, facilitation, classroom management, and stakeholder alignment skills. - Ability to work effectively with global participants across different cultures, time zones, and levels of technical expertise. Requirements - Design and deliver AI training programs for Sales employees, managers, specialists, analysts, and senior stakeholders. - Create department-specific workshops, learning paths, exercises, prompt templates, role-based scenarios, and workflow demonstrations. - Teach practical AI use cases connected to prospecting workflows, lead qualification, CRM management, proposal development, forecasting support, and customer communication. - Explain generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making in clear, practical business language. - Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings when required. - Develop training materials including slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits. - Partner with implementation teams, IT, security, legal, and functional leaders to ensure training reflects approved tools and governance standards. - Evaluate training outcomes through participant feedback, adoption data, skill assessments, and business impact indicators. How to Apply Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact. Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate. The selection process will prioritize practical capability, communication quality, business judgment, and the ability to make AI effective within real departmental workflows.

Role Description We are seeking an AI Trainer specializing in the Finance function. The trainer will design and deliver practical learning programs that help employees, managers, and functional specialists use AI responsibly in day-to-day work. This role is centered on building practical capability tied directly to real Finance workflows, rather than delivering generic AI instruction. The trainer will collaborate with: - CFOs - Controllers - FP&A teams - Accounting - Treasury - Procurement - IT - Audit - Business unit leaders Training will align with: - Reporting workflows - Budgeting and forecasting - Invoice and expense processing - Variance analysis - Cash-flow monitoring - Audit support - Responsible AI usage across finance-related processes Mission of the Role: To help Finance teams identify where AI can add value, understand how to use it safely, and integrate it effectively into everyday work. The trainer will strengthen confidence, reduce uncertainty, and provide actionable methods participants can apply immediately. Each session should combine business context, live examples, guided exercises, and clear guidance for responsible AI usage. Core Responsibilities - Design and deliver AI training programs for Finance employees, managers, specialists, analysts, and senior stakeholders. - Develop department-specific workshops, learning paths, exercises, prompt templates, role-based scenarios, and workflow demonstrations. - Train on practical AI use cases connected to reporting workflows, budgeting and forecasting, invoice processing, variance analysis, cash-flow monitoring, audit support, and financial controls. - Present generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making in clear, business-focused language. - Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings as required. - Create training materials such as slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits. - Partner with implementation teams, IT, security, legal, and functional leaders to ensure training reflects approved tools and governance standards. - Evaluate training outcomes using participant feedback, adoption metrics, skill assessments, and business impact indicators. Qualifications - Experience in AI training, corporate learning, enablement, consulting, digital transformation, or specialized work within Finance. - Strong understanding of reporting workflows, budgeting and forecasting, invoice and expense processing, variance analysis, cash-flow monitoring, and financial controls. - Ability to explain AI concepts in clear, practical language while maintaining professional precision. - Experience facilitating remote, hybrid, or on-site workshops for professional audiences. - Capability to create exercises, templates, examples, and demonstrations that participants can apply in their daily work. - Knowledge of accuracy, confidentiality, auditability, financial governance, and responsible AI usage in finance-related decisions. - Strong communication, facilitation, classroom management, and stakeholder alignment skills. - Ability to work effectively with global participants across different cultures, time zones, and experience levels. How to Apply Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact. Portfolio material, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate. The selection process will evaluate practical capability, communication quality, business judgment, and the ability to make AI useful in real departmental workflows.