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- AI Trainer for Human Resources (HR)
AI Trainer for Human Resources (HR)
Ecareer ABVästra Götalands län, Mölndal
Previous experience is desired
7 days left
to apply for the job
Role Overview
We are seeking an AI Trainer specializing in Human Resources. The trainer will design and deliver practical learning programs that enable employees, managers, and functional specialists to use AI responsibly in day-to-day work.
This role prioritizes building practical capability rooted in real Human Resources workflows, rather than delivering generic AI instruction.
The trainer will collaborate with HR leadership, Talent Acquisition, Learning and Development, People Operations, Employee Relations, Legal, IT, and Data Privacy teams to develop department-specific workshops, hands-on exercises, prompt libraries, workflow demonstrations, and adoption resources.
Training will directly support recruitment, onboarding and offboarding workflows, HR service support, learning recommendations, skills mapping, performance administration, and responsible AI use in people-related processes.
Mission of the Role
The mission is to help Human Resources teams understand where AI can create value, how to use it safely, and how to integrate it into everyday work.
The trainer will strengthen participant confidence, reduce uncertainty, and provide actionable methods that attendees can apply immediately.
Each session should include business context, live examples, guided exercises, and clear guidance for responsible AI usage.
Core Responsibilities
- Design and deliver AI training programs for Human Resources 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 recruitment support, onboarding and offboarding workflows, HR service support, learning recommendations, workforce planning, and employee sentiment analysis.
- 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 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 aligns with approved tools and governance standards.
- Assess training outcomes using participant feedback, adoption data, skill assessments, and business impact indicators.
Required Experience and Capabilities
- Experience in AI training, corporate learning, enablement, consulting, digital transformation, or specialized work within Human Resources.
- Strong understanding of recruitment support, onboarding and offboarding workflows, HR service support, learning recommendations, skills mapping, and performance administration.
- Ability to explain AI concepts in clear, practical language while maintaining 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 privacy, bias, employee trust, explainability, employment-law sensitivity, and responsible AI use in people-related decisions.
- Strong communication, facilitation, classroom management, and stakeholder alignment skills.
- Ability to work effectively with global participants across diverse cultures, time zones, and varying technical 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.
Where appropriate, you may include portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies.
The selection process will evaluate practical capability, communication quality, business judgment, and the ability to make AI effective within real departmental workflows.
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