At a Glance
- Tasks: Deliver engaging AI training and shape the future of learning with innovative courses.
- Company: Dynamic tech company committed to education and inclusivity.
- Benefits: 27 days holiday, health plans, gym access, and charity leave.
- Why this job: Empower others through knowledge while staying at the forefront of AI technology.
- Qualifications: Strong skills in GenAI, Python, and a passion for teaching.
- Other info: Join a supportive team with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
As an expert in your field, you will deliver QA and vendor specific innovative, high-quality training in Data Science, GenAI, and Python to a wide range of clients. You will empower learners to apply their knowledge effectively in real-world scenarios.
In addition to training delivery, you’ll play a key role in shaping the future of learning by contributing insights to the design and development of cutting-edge courses. With strong technical expertise in GenAI, machine learning, Python, and the NumPy ecosystem, and desirable experience in AI frameworks and cloud platforms, you’ll stay at the forefront of industry trends through ongoing professional development and a passion for education.
Role Responsibilities:
- Training Delivery: Deliver high quality and engaging training in line with policies, industry standards and regulatory requirements.
- Performance & Quality Metrics: Attain a consistent Trainer Satisfaction Score (TSAT) of 88%+ and achieve ‘Meeting Expectations’ in trainer observations, utilise feedback to improve performance and effectiveness of training, conduct peer observations providing constructive feedback.
- Subject Matter Expertise: Act as an SME utilising your in-depth knowledge to contribute insights to internal discussions, client programmes and collaborate cross functionally.
- Communication: Collaborate effectively across teams, maintaining professional proactive communication with internal and external stakeholders.
- Contribution: Support team objectives and initiatives, demonstrate accountability and reliability showing flexibility to adapt to priorities.
- Continuous Professional Development: Proactively maintain industry recognised certifications, engage in continued learning to stay up to date with industry trends, emerging tech and best practices.
Your Experience/Skills:
- Training Delivery: Excellent presentation, facilitation, and coaching skills to effectively deliver complex technical content in an engaging and interactive manner virtually and/or in-person. Ability to connect with diverse audiences including technical and non-technical professionals.
- Skills and Technical Proficiency: Strong knowledge of GenAI concepts, applications and prompt engineering. Proficient in GenAI concepts, machine learning techniques, and Python programming, with strong familiarity with the NumPy ecosystem.
- Industry Knowledge & Experience: Desirable hands-on experience with leading AI frameworks (e.g. TensorFlow, PyTorch). Familiarity with cloud platforms (AWS, GCP, Azure). Experience working with AI/ML engineers, data scientists, and other data professionals.
- Wider Requirements: Passion for education, technology, and empowering others through knowledge sharing.
Qualifications:
- Desirable degree in Mathematics or related field.
- Desirable relevant cloud vendor (GCP, AWS, Azure) certifications.
What We'll Do For You!
Taking time for ourselves is so important these days which is why we dedicate some of our benefits to support your health & wellbeing. These include: 27 days holiday each year, holiday buying scheme, Medicash plan, Gympass, Cycle to Work scheme, Employee Assistance Programme, and 2 days per year charity leave.
We are an equal opportunity employer, focused on promoting a welcoming and inclusive environment. We are proud to be a Disability Confident employer. All applicants with a disability who fulfil the role criteria will be progressed to the next stage of the process. Please let us know what reasonable adjustment, if any, you require.
Artificial Intelligence Educator employer: QA Ltd
Contact Detail:
QA Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Educator
✨Tip Number 1
Network like a pro! Connect with industry professionals on LinkedIn and attend relevant events. This can help us get our foot in the door and learn about job openings before they’re even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your training delivery, projects, or any relevant work. This gives potential employers a taste of what we can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI education. We should also be ready to discuss how we can contribute to course design and development.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Artificial Intelligence Educator
Some tips for your application 🫡
Show Your Passion for Education: Let us see your enthusiasm for teaching and empowering others! Share experiences where you've made a difference in someone's learning journey, especially in AI or tech.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant skills and experiences. We want to see how your background aligns with the role of an Artificial Intelligence Educator.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role.
How to prepare for a job interview at QA Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge of GenAI, machine learning, and Python. Be ready to discuss specific projects or experiences where you've applied these skills. This will show that you're not just familiar with the concepts but can also bring real-world examples to the table.
✨Engage with the Interviewers
During the interview, don’t just answer questions—engage in a conversation. Ask insightful questions about their training methods or how they envision the future of AI education. This shows your passion for the field and your interest in contributing to their goals.
✨Showcase Your Teaching Skills
Since the role involves delivering training, be prepared to demonstrate your presentation and facilitation skills. You might even want to prepare a short mock training session on a topic you’re comfortable with. This will give them a taste of your teaching style and how you connect with learners.
✨Stay Current
Keep yourself updated on the latest trends in AI and education technology. Mention any recent courses, certifications, or workshops you've attended. This not only highlights your commitment to continuous professional development but also shows that you’re proactive about staying at the forefront of the industry.