At a Glance
- Tasks: Lead engaging remote workshops on GenAI and LLMs for aspiring software developers.
- Company: Top tech education provider focused on empowering engineers.
- Benefits: Flexible hours, competitive pay, and a chance to shape future tech talent.
- Why this job: Make a real difference in learners' careers while sharing your expertise.
- Qualifications: Strong knowledge of machine learning and excellent communication skills.
The predicted salary is between 40000 - 50000 £ per year.
A leading tech education provider is seeking experienced engineers to lead remote workshops for software developers. The role involves teaching a range of topics in software engineering, with sessions lasting 60-90 minutes. Ideal candidates will need a solid understanding of machine learning, LLMs, and the ability to tailor explanations to diverse audiences. The position offers flexible hours, competitive pay, and the opportunity to significantly impact learners' professional growth.
Remote GenAI & LLMs Coach for Engineers in Leeds employer: Skiller Whale
Contact Detail:
Skiller Whale Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote GenAI & LLMs Coach for Engineers in Leeds
✨Tip Number 1
Network like a pro! Reach out to fellow engineers and educators on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your expertise in machine learning and LLMs. Include any workshops or sessions you've led to demonstrate your teaching abilities.
✨Tip Number 3
Practice makes perfect! Run mock workshops with friends or colleagues to refine your delivery and adapt your explanations for different audiences. This will boost your confidence and help you stand out.
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate coaches. Tailor your application to highlight your experience and how you can make a difference in learners' lives.
We think you need these skills to ace Remote GenAI & LLMs Coach for Engineers in Leeds
Some tips for your application 🫡
Show Off Your Expertise: When you're writing your application, make sure to highlight your experience with machine learning and LLMs. We want to see how you've applied your knowledge in real-world scenarios, so don’t hold back!
Tailor Your Approach: Just like you would in a workshop, tailor your application to us! Use language that resonates with the job description and demonstrate how you can adapt your teaching style to different audiences.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Make it easy for us to see why you’re the perfect fit for this role without wading through unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Skiller Whale
✨Know Your Stuff
Make sure you have a solid grasp of machine learning and LLMs. Brush up on the latest trends and technologies in the field, as well as any relevant projects you've worked on. Being able to discuss these topics confidently will show your expertise.
✨Tailor Your Approach
Since you'll be teaching diverse audiences, think about how you can adapt your explanations for different skill levels. Prepare examples that resonate with both beginners and advanced developers. This will demonstrate your ability to connect with learners effectively.
✨Practice Makes Perfect
Run through a mock workshop or presentation before the interview. Time yourself to ensure you can cover your material within the 60-90 minute window. This will help you feel more comfortable and allow you to refine your delivery.
✨Engage and Interact
Think about how you can make your sessions interactive. Prepare questions or activities that encourage participation. Showing that you value learner engagement will highlight your teaching skills and commitment to their professional growth.