At a Glance
- Tasks: Guide learners through AI and ML programmes, facilitating in-person and virtual sessions.
- Company: Join Cambridge Spark, a leader in innovative education for Data & AI.
- Benefits: Flexible project-based work with competitive rates and the chance to impact future tech leaders.
- Other info: Work in vibrant cities like Bristol, Edinburgh, London, or Manchester with excellent networking opportunities.
- Why this job: Shape the next generation of data scientists while enhancing your own skills.
- Qualifications: Strong background in machine learning, Python coding, and experience with generative AI tools.
The predicted salary is between 40000 - 50000 £ per year.
Cambridge Spark is seeking independent, high calibre Data & AI tutors to deliver targeted support to learners on one of our intensive ML & AI programmes. This is a project-based contract engagement to deliver tutoring as part of our suite of education programmes. The successful consultant will act as an external specialist, working with a group of learners to ensure that they are progressing well through the programme and offering technical guidance and support. The project is UK-based with project-specific onsite delivery. The consultant must be able to deliver on-site in one of Bristol, Edinburgh, London or Manchester. All-inclusive rates should factor in localised travel.
Key Deliverables & Scope of Work
- Facilitating in-person sessions, guiding learners through collaborative assignments
- Technical session support for virtual sessions run through Teams, answering questions, managing the chat, and giving assistance to groups during small group tasks
- Providing ad hoc support via drop-in Teams calls or our online portal
- Ensuring that the programme runs effectively, identifying and raising any issues to the project team
Required Expertise & Capabilities
To successfully deliver this project, the independent consultant/services provider must demonstrate:
Essential Criteria
- Well-versed in the mathematics behind machine learning models
- A capable python coder
- Comfortable with SQL
- Experienced with using LLMs and other Generative AI tools, including agentic AI
- A practiced small-group teacher
Desirable Criteria
Whilst there are no specific qualifications we would ask for as a requirement, the kind of profile we are interested in would be PhD students studying scientific subjects with a heavy focus on Machine Learning, Data Science, or AI, recent Masters' Graduates in the same areas, or equivalent professional experience.
For context, the topics of the sessions are:
- Week 1: Intro and Product Led Thinking
- Week 2: Foundations of Machine Learning
- Week 3: Ensembles and Model Tuning
- Week 4: Neural Networks and Language Models
- Week 5: LLMs: Customisation, Managing State and RAG
- Week 6: Agentic AI
- Week 7: Responsible AI
- Week 8: Production Engineering
Contractual Nature of the Engagement
This engagement is for a specific, project-based outcome and is open to independent contractors, freelancers, or boutique consultancies operating via a Limited Company or appropriate vehicle. Substitution: The right of substitution applies, provided the substitute possesses equivalent skills and qualifications to meet the project deliverables. Equipment: The consultant is expected to provide their own equipment and tools necessary to complete the assignment. Commercial Protections: The services provider is free to provide services to other clients during this engagement, provided there is no direct conflict of interest or breach of confidentiality regarding Cambridge Spark’s proprietary materials and client relationships.
Data & AI Tutor (Project Basis) employer: Cambridge Spark
Cambridge Spark is an exceptional employer for Data & AI Tutors, offering a dynamic and collaborative work environment that fosters professional growth and innovation. With project-based engagements in vibrant cities like Bristol, Edinburgh, London, and Manchester, tutors benefit from localised support and the opportunity to make a meaningful impact on learners' journeys in cutting-edge AI education. The company values flexibility and independence, allowing consultants to manage their own schedules while contributing to a forward-thinking educational initiative.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Tutor (Project Basis)
✨Showcase Your Expertise with a Public Portfolio
As a freelancer in the digital learning and education space, having a strong public portfolio is crucial. Create a website or a blog where you can share your projects, case studies, and even testimonials from past clients. This not only demonstrates your skills but also lets potential clients see your unique approach to digital learning.
✨Engage in Digital Learning Communities
Join online forums, Facebook groups, or LinkedIn communities dedicated to education technology and freelance educators. Engage with discussions, share insights, and make connections. Remember, many gigs can come from these informal networks as people often post their needs or recommendations there.
✨Attend EdTech Events and Webinars
Keep an eye out for virtual and local events related to education technology. These gatherings are perfect for networking and finding freelance opportunities. Don’t be shy about promoting your services or sharing your work during Q&A sessions—visibility is key!
✨Direct Outreach to Potential Clients
Don't wait for opportunities to come to you! Research schools, universities, and organisations that might benefit from your freelancing services. Send them a personalised pitch highlighting how you can help. You might be surprised by how many are looking for skilled freelancers just like us!
We think you need these skills to ace Data & AI Tutor (Project Basis)
Some tips for your application 🫡
Show Off Your Digital Skills:In the digital learning and education space, it’s crucial to highlight your technical proficiencies. Make sure to include relevant tools you’ve used, like LMS platforms, authoring tools, or any e-learning software. We're interested in seeing how you've leveraged these skills in either previous projects or course development.
Portfolio is Key!:As a freelancer, your portfolio is your best friend. Showcase your previous digital learning projects, course designs, or any educational content you’ve created. Include links to anything you’ve developed—this is our way of seeing your creative flair and effectiveness in real-world applications.
Tailor Your Application for Each Project:Freelance roles often require a bespoke approach. When applying for Data & AI Tutor (Project Basis) at Cambridge Spark, personalise your cover letter to reflect your understanding of their specific needs in digital learning, and how your background aligns with their goals. Make it clear why you are the perfect fit for them!
Rates and Availability Matter:Being freelance means you need to be upfront about your rates and availability. Include that information in your application, so Cambridge Spark knows what to expect. It gives a professional touch and sets the stage for clear communication from the get-go.
How to prepare for a job interview at Cambridge Spark
✨Know Your EdTech Tools
Before your chat with Cambridge Spark, make sure you're familiar with popular digital learning platforms like Moodle or Moodle plugins. Being able to discuss your experience with these tools will really set you apart, especially since they play a crucial role in the education tech space.
✨Show Off Your Portfolio
As a freelancer, your portfolio is your best friend. Bring your A-game by showcasing case studies that highlight your ability to create engaging content or effective learning modules. Tailor what you show to the specific needs of Cambridge Spark and make sure to point out how your work has improved learning outcomes.
✨Discuss Learning Trends
Be ready to chat about current trends in digital learning, like gamification or adaptive learning. Cambridge Spark is likely looking for someone who stays up to date with industry shifts and can incorporate fresh ideas into their projects—proving you're not just about delivery but innovation too!
✨Pitching Your Rates Confidently
Since this is a freelance gig, come prepared to discuss your rates confidently. Know your worth and how your skills align with what Cambridge Spark needs. Be ready to justify your prices based on your experience and the value you bring—they'll appreciate your professionalism!
