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- Tasks: Help develop an online AI curriculum focused on Large Language Models.
- Company: Join a mission-driven team empowering learners in AI education globally.
- Benefits: Flexible working hours and the chance to work remotely.
- Why this job: Be part of a cutting-edge project that shapes responsible AI solutions.
- Qualifications: Strong understanding of LLMs and experience in AI education required.
- Other info: Initial role duration is eight weeks, with potential for extension.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a technical AI writer, AI researcher, or engineer who is passionate about AI education and has a strong understanding of Large Language Models (LLMs). Our mission is to empower individual learners and lecturers to develop AI knowledge and skills for driving high-impact and responsible AI solutions globally. A central theme throughout the curriculum's seven modules is Research and Responsible Innovation.
About the Role
You will support the development of learning activities for an online AI curriculum focused on LLMs. Your primary contribution will be to two specific modules: Module 2 (Representing Text Data) and Module 5 (Fine-Tuning). This role is initially scoped for eight weeks, requiring between 60-100% full-time equivalent (FTE).
Responsibilities
- Module 2 Development: Working with an online learning expert and a student researcher, you'll refine and further develop Module 2 to be launch-ready. This module is currently 80% complete and requires refinement and editing for a July launch.
- Module 5 Development: Collaborating with an online learning expert and student researchers, you'll develop Module 5 from the ground up.
- Content Review: Reviewing other modules produced by university AI Teaching Fellows and providing feedback on their content.
Required Skills
- Strong understanding of Large Language Models (LLMs).
- Experience in AI education and curriculum development.
- Ability to work collaboratively with online learning experts and researchers.
Preferred Skills
- Experience with Natural Language Processing (NLP).
- Familiarity with cloud platforms for hosting educational content.
- Knowledge of coding and practical labs related to AI.
Computer Science Specialist. Job in Leeds Education & Training Jobs employer: YunoJuno
Contact Detail:
YunoJuno Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Science Specialist. Job in Leeds Education & Training Jobs
✨Tip Number 1
Familiarise yourself with the latest advancements in Large Language Models (LLMs). Being well-versed in current trends and breakthroughs will not only boost your confidence but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Network with professionals in the AI education field. Attend relevant workshops, webinars, or meetups to connect with others who share your passion. This can lead to valuable insights and potential referrals for the role.
✨Tip Number 3
Showcase your collaborative skills by discussing past projects where you worked with educators or researchers. Highlighting your ability to work in a team will demonstrate that you're a good fit for the collaborative nature of this role.
✨Tip Number 4
Prepare to discuss your experience with curriculum development. Be ready to share specific examples of how you've contributed to educational content, especially in AI or related fields, as this will be crucial for the position.
We think you need these skills to ace Computer Science Specialist. Job in Leeds Education & Training Jobs
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Computer Science Specialist position. Familiarise yourself with the specifics of Module 2 and Module 5, as well as the importance of AI education.
Tailor Your CV: Highlight your experience in AI education, curriculum development, and your understanding of Large Language Models (LLMs). Make sure to include any relevant projects or roles that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI education and how your background aligns with the mission of empowering learners. Mention specific experiences that relate to the development of learning activities and collaboration with experts.
Showcase Relevant Skills: If you have experience with Natural Language Processing (NLP) or cloud platforms, be sure to mention these in your application. Providing examples of coding or practical labs related to AI will strengthen your application.
How to prepare for a job interview at YunoJuno
✨Show Your Passion for AI Education
Make sure to express your enthusiasm for AI education during the interview. Share any personal projects or experiences that highlight your commitment to teaching and learning about AI, especially in relation to Large Language Models.
✨Demonstrate Your Technical Knowledge
Be prepared to discuss your understanding of Large Language Models and Natural Language Processing. You might be asked to explain complex concepts, so practice articulating these ideas clearly and concisely.
✨Highlight Collaborative Experience
Since the role involves working with online learning experts and student researchers, share examples of past collaborative projects. Emphasise your ability to work as part of a team and how you’ve contributed to successful outcomes.
✨Prepare Questions About the Curriculum
Show your interest in the role by preparing thoughtful questions about the curriculum and the specific modules you'll be working on. This demonstrates your proactive approach and genuine interest in contributing to the development of the AI curriculum.
