At a Glance
- Tasks: Create and review business case studies for cutting-edge AI training.
- Company: Join a leading AI lab with a focus on innovative research.
- Benefits: Competitive pay, flexible hours, and opportunities for future projects.
- Other info: Ideal for top business school graduates looking to shape the future.
- Why this job: Make an impact in AI while utilising your business expertise.
- Qualifications: Experience in writing business case studies and academic roles.
The predicted salary is between 30000 - 40000 £ per year.
Mercor is recruiting UK-based Top Business School Graduates and Faculty with former business school professor/lecturer, research associate, research fellow, and/or doctoral program experience for a research project with a leading foundational model AI lab. We have a strong preference for UK-based candidates with experience from Harvard Business School and/or Stanford Graduate School of Business. We may also consider UK-based candidates who have experience from top UK business schools.
Candidates must have the ability to write and have past experience writing business case studies found in one or more of the following publications: Harvard Business School Case Studies, Graduate School of Business Case Studies, School of Management Case Studies, Oxford Saïd School of Business Case Studies.
Ideal candidates had one or more of the following roles in business school: Research Associate, Research Fellow, Graduate Researcher, Professor (Assistant, Associate, Full, Distinguished) (US), Lecturer (Lecturer, Senior Lecturer, Professor, Named Professor/Chair) (UK).
You'll help create, review, and simulate realistic business case study scenarios, leveraging your extensive experiences and shared industry specialization. Experience with writing and publishing case studies in or for business school(s) is highly preferred.
Role details:
- You will be contributing to high-quality training data for frontier AI systems.
- You are available to work 40 hours/week.
- Successful contributions increase the odds that you are selected on future projects with Mercor.
Vetting process:
- Resume + work history screen.
- Short assessment evaluating relevant business expertise.
Business Researcher - AI Trainer in London employer: Obsidian
Mercor is an exceptional employer that values the expertise of top business school graduates and faculty, offering a collaborative work culture that fosters innovation and professional growth. With a focus on meaningful projects in the AI sector, employees benefit from opportunities to contribute to cutting-edge research while being part of a supportive team that encourages continuous learning and development. Located in the UK, Mercor provides a unique platform for individuals to leverage their academic backgrounds in a dynamic environment, making it an attractive choice for those seeking rewarding careers in business research.
StudySmarter Expert Advice🤫
We think this is how you could land Business Researcher - AI Trainer in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Obsidian!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Researcher - AI Trainer in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Obsidian, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Obsidian
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Obsidian’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
