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- Tasks: Help create and refine online AI curriculum modules focused on Large Language Models.
- Company: Join a mission-driven team dedicated to empowering learners in responsible AI education.
- Benefits: Flexible working hours and the chance to work remotely while making an impact.
- Why this job: Be part of a cutting-edge project that shapes the future of AI education and innovation.
- Qualifications: Strong grasp of LLMs and experience in AI education or curriculum development required.
- Other info: This role is initially for eight weeks, with potential for further opportunities.
The predicted salary is between 28800 - 48000 £ 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.
Locations
Contact Detail:
YunoJuno Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Science Specialist
✨Tip Number 1
Make sure to showcase your passion for AI education during any conversations or interviews. Share specific examples of how you've contributed to AI learning initiatives or projects in the past, as this will demonstrate your commitment to our mission.
✨Tip Number 2
Familiarise yourself with the latest trends and developments in Large Language Models (LLMs) and AI education. Being able to discuss recent advancements or challenges in the field will show that you're not only knowledgeable but also genuinely interested in the subject matter.
✨Tip Number 3
Network with professionals in the AI education space. Attend relevant webinars, workshops, or conferences where you can meet others who share your interests. This could lead to valuable connections and insights that may help you stand out during the application process.
✨Tip Number 4
Prepare to discuss your collaborative experiences in developing educational content. Highlight any previous work where you’ve partnered with experts or researchers, as this role requires strong teamwork skills to refine and develop our curriculum effectively.
We think you need these skills to ace Computer Science Specialist
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 Large Language Models (LLMs) and the specific modules you'll be working on.
Tailor Your CV: Highlight your experience in AI education, curriculum development, and any relevant projects involving LLMs or Natural Language Processing (NLP). Make sure to showcase your collaborative skills and any previous work with online learning experts.
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 demonstrate your ability to refine and develop educational content.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which is crucial for this role.
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 Experiences
Since the role involves working with online learning experts and student researchers, share examples of past collaborations. Discuss how you contributed to team projects and what you learned from those experiences.
✨Prepare for Content Review Scenarios
Anticipate questions about content review and feedback processes. Think of examples where you provided constructive criticism on educational materials and how it improved the overall quality of the content.