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AI Content Designer

Cloud Academy

City Of London

Hybrid

GBP 60,000 - 80,000

Full time

3 days ago
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Job summary

A leading tech training company in the UK is seeking a Senior Learning Design Consultant - AI to lead product design and content development. This hybrid role requires expertise in AI technologies and experience in delivering learning solutions across multiple modalities. You will engage with clients to design innovative AI products and ensure high quality in the AI Portfolio. The position offers a competitive salary and comprehensive benefits.

Benefits

27 days holiday
Gym membership
Employee Assistance Programme
Pension scheme
Tech scheme

Qualifications

  • In-depth knowledge of AI technologies relevant to practice and trends.
  • Proven track record of creating diverse learning solutions across various modes.
  • Familiarity with successful learning transfer methods.

Responsibilities

  • Design and develop innovative AI learning products.
  • Engage in pre-sales with the Portfolio Director.
  • Utilize data for product quality insights.
  • Maintain relevance of the AI Portfolio.

Skills

Knowledge of AI technologies
Designing learning solutions
Understanding of modern workforce learning
Job description
Overview

QA is the largest tech training company in the UK and the fastest growing in the US, empowering organisations to learn, master, and apply new tech skills at scale. We partner with 96% of the FTSE and most of the Fortune 500, and have served over 4,000 customers and 1+ million learners since 1985.

QA is headquartered in London and New York. Learn more at QA.com

Job Details

Contract type: QA Ltd Permanent

Senior Learning Design Consultant - AI

Hybrid (UK or US)

Full time: 37.5 hours per week

Competitive salary plus some great benefits

Role Summary

As Content Designer - AI your role will be the lead subject matter expert in the AI portfolio with responsibility for product design and content development in multi-modalities, including digital and labs as well as instructor-led training.

We help organisations develop AI, cloud, data, and other technologies by providing a continuous learner experience, connecting learning across the organisation, and creating more collaborative learning.

Key Responsibilities
  • Design and develop innovative and engaging public and client specific AI products
  • Undertake pre-sales engagements as agreed with the Portfolio Director
  • Use Management Information and data to generate insights that help improve product quality
  • Work with Portfolio Director to maintain the relevance of the AI Portfolio
Qualifications

Experience:

  • In-depth and broad knowledge of AI technologies relevant to practice and industry trends
  • Proven track record of designing, developing and delivering learning solutions across multiple modes (e.g. classroom, digital, blended, virtual)
  • Knowledge of what learning approaches result in the successful transfer of learning into a modern workforce
  • Best-practice in current learning methods
Additional Information
What We’ll Do For You
  • Down time: Taking time for ourselves is important; we offer benefits to support health and wellbeing, including 27 days holiday, holiday buying scheme, Medicash plan, Gympass, Cycle to Work, Employee Assistance Programme, and 2 charity leave days per year.
  • Financial matters: Pension, group income protection, life insurance, annual pay review, employee discounts hub, season ticket loan, tech scheme, and an employee referral scheme.
  • Personal growth: Develop skills on QA authored courses (3 training days/year) and access to our digital learning content on various tech and business topics.
  • Our people: We are an equal opportunity employer with an inclusive environment; we welcome applications from all candidates and celebrate diversity. We are a Disability Confident employer.
Next Steps

If this is what you’re looking for, hit the apply button and register on our QA website to fill out our quick and easy application form: https://qa-career.talent-soft.com/job/job-ai-content-designer_4758.aspx

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