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- Tasks: Design business cases and evaluate AI-generated solutions for complex problems.
- Company: Leading AI consultancy with a focus on innovative solutions.
- Benefits: Flexible contracting, remote work, and engagement with top AI research teams.
- Why this job: Make an impact in AI while collaborating with industry leaders.
- Qualifications: MBA required, with strong analytical writing and attention to detail skills.
- Other info: Exciting opportunities for professional growth in a dynamic field.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI consultancy is seeking a remote AI Data Trainer to assist with developing complex business problems and evaluating AI-generated solutions. The ideal candidate has an MBA and strong skills in analytical writing and attention to detail. This role involves designing business cases and contributing valuable insights into executive decision-making processes. Join the team for flexible contracting opportunities and direct engagement with industry-leading AI research teams.
Remote MBA AI Data Trainer for Advanced LLMs in Oxford employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote MBA AI Data Trainer for Advanced LLMs in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and consultancy space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your analytical writing and business case designs. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and scenarios. Think about how you would approach complex business problems and be ready to share your insights.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote MBA AI Data Trainer for Advanced LLMs in Oxford
Some tips for your application 🫡
Show Off Your MBA Skills: Make sure to highlight your MBA experience in your application. We want to see how your analytical writing and business acumen can contribute to solving complex problems.
Be Detail-Oriented: Attention to detail is key for this role. When crafting your application, double-check for any typos or errors. We appreciate clarity and precision in your writing!
Design a Compelling Business Case: If you have examples of business cases you've designed, share them! We love seeing how you approach decision-making and the insights you can bring to the table.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and get to know you better. Don’t miss out on this opportunity!
How to prepare for a job interview at Alignerr
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and LLMs. Familiarise yourself with how AI can solve complex business problems, as this will show your potential employer that you're not just knowledgeable but also passionate about the field.
✨Show Off Your Analytical Skills
Prepare to discuss examples of your analytical writing and how you've used it to influence decision-making in past roles. Bring specific instances where your insights led to successful outcomes, as this will highlight your attention to detail and strategic thinking.
✨Design a Business Case
Think about a business case you could present during the interview. This could be a hypothetical scenario where you outline how you would approach a complex problem using AI solutions. It’ll demonstrate your ability to think critically and creatively under pressure.
✨Engage with the Team Spirit
Since this role involves working closely with industry-leading AI research teams, be ready to discuss how you collaborate with others. Share experiences where teamwork led to innovative solutions, showing that you’re not just a lone wolf but a team player who thrives in collaborative environments.
