At a Glance
- Tasks: Deliver AI training sessions to clients across North England, both in-person and remotely.
- Company: Join Coaley Peak, a forward-thinking company in the AI training sector.
- Benefits: Flexible part-time hours with competitive pay; invoice for your work.
- Other info: Enjoy the freedom of ad-hoc work with no minimum guarantee.
- Why this job: Be at the forefront of AI training and make a difference in the industry.
- Qualifications: Proven experience in real-world AI delivery is essential.
The predicted salary is between 31.5 - 38.5 £ per hour.
Coaley Peak seeks senior AI trainers for a small associate bench across the UK.
This is an ad hoc, part-time contract; you deliver days as they arise, invoice for the days you work, with no minimum guarantee or employee benefits.
You will be sent to clients under our name, often on short notice, and travel within the North of England (Manchester/Leeds area) to deliver in person or remotely as required.
Proven real‑world AI delivery is essential.
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Senior AI Trainer — Ad-hoc Part-Time (North England) in Manchester employer: Coaley Peak
Coaley Peak is an excellent employer for those seeking flexibility and the opportunity to work on diverse AI projects across North England. With a focus on real-world application and client engagement, our culture fosters innovation and professional growth, allowing you to enhance your skills while working with a dynamic team. Join us to make a meaningful impact in the AI field, all while enjoying the freedom of part-time, ad-hoc work arrangements.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Trainer — Ad-hoc Part-Time (North England) in Manchester
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Coaley Peak.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Coaley Peak and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Senior AI Trainer — Ad-hoc Part-Time (North England) in Manchester
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Coaley Peak aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Coaley Peak
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Coaley Peak.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Coaley Peak.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Coaley Peak, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Coaley Peak will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
