Includes:
Job Summary
Job Description
Althaus Digital is a leading provider of digital apprenticeships, helping businesses build the next generation of tech talent. As we continue our exciting growth journey, we’re looking for an experienced AI Trainer to design and build a Level 4 AI & Data Specialist apprenticeship programme from the ground up.
We are seeking an experienced AI & Automation Trainer to design, develop, and support the delivery of a Level 4 AI & Data Specialist / AI & Automation Practitioner apprenticeship. The role will focus initially on curriculum build, EPA alignment, and programme setup, progressing into delivery and learner support as the programme goes live.
This is a hands-on role suited to someone who combines strong AI and automation expertise with excellent training, facilitation, and stakeholder engagement skills.
Curriculum & Content Development
Design and write a full apprenticeship curriculum aligned to the AI & Automation / AI & Data Specialist standard.
Finalise the Scheme of Work (SOW), session plans, learning materials, and assessments.
Develop practical, real-world projects that align with employer and organisational priorities.
Ensure all content reflects ethical, legal, and responsible AI principles.
EPA Alignment & Quality
Work closely with End-Point Assessment (EPA) organisations to ensure curriculum and projects meet assessment requirements.
Map curriculum content and projects to Knowledge, Skills, and Behaviours (KSBs).
Support EPA readiness through structured preparation activities and mock assessments.
Training & Delivery Support
Facilitate engaging virtual training sessions and workshops.
Translate complex technical concepts into accessible learning for non-technical and mixed-ability audiences.
Provide learner guidance, feedback, and portfolio support.
Support train-the-trainer activity and shadowing where required.
Stakeholder Collaboration
Engage with internal stakeholders (e.g. Marketing, Sales, Skills teams) to ensure content relevance.
Present curriculum plans and progress updates to stakeholders.
Contribute to continuous improvement of the programme based on feedback and outcomes.
Essential
Strong knowledge of AI, data, and automation concepts, including tools, models, and limitations.
Experience designing or delivering training, workshops, or apprenticeship programmes.
Ability to analyse workflows and identify opportunities for AI and automation.
Experience with low-code/no-code tools and automation platforms.
Strong communication skills, with the ability to explain complex concepts clearly.
Understanding of ethical, legal, and governance considerations in AI.
Experience working to structured standards, frameworks, or regulated learning outcomes.
Desirable
Previous experience delivering or supporting apprenticeships.
Experience working with EPA organisations.
Background in digital, data, or AI-focused education programmes.
Experience supporting portfolio development and assessment preparation.
Personal Attributes
Analytical and detail-oriented, with a practical mindset.
Confident facilitator who can engage diverse learner groups.
Organised and able to manage work across multiple project phases.
Collaborative and comfortable working with stakeholders at all levels.
Passionate about responsible and ethical AI adoption.
January–March: 2 days per week focused on SOW finalisation, curriculum build, EPA alignment, and induction preparation.
From April: Delivery and learner support (TBC based on final delivery model).
This is a freelance opportunity with a hybrid working model, and may require travel to the Derby office once a month.
We are an independent training provider and this position may involve working with children and vulnerable adults. At althaus we are committed to safeguarding and follow safer recruitment guidelines, part of which is obtaining references for all our potential staff, volunteers and partners.
Althaus is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on age, sex, race, disability, pregnancy, marital status, sexual orientation, gender reassignment or religious background.
Application Form
