At a Glance
- Tasks: Create data for AI innovation and solve complex problems in your field.
- Company: Obsidian, collaborating with top AI labs on premier projects.
- Benefits: Flexible part-time hours, potential for full-time, and impactful work.
- Other info: Ongoing role with opportunities for growth and extension.
- Why this job: Join a cutting-edge project and make a real difference in AI development.
- Qualifications: STEM PhD, strong communication skills, and attention to detail.
The predicted salary is between 30000 - 40000 £ per year.
Obsidian is looking for STEM PhDs for a premier project in collaboration with top AI labs. In this role, you will leverage your expertise to create data for AI innovation, addressing complex problems within your domain.
This ongoing role begins in April, requiring 15-20 hours per week, with the possibility of extension to 40 hours. Strong written and verbal communication skills, along with attention to detail, are essential for success in this position.
AI Data & LLM Expert (STEM PhD) — Part-Time employer: Obsidian
Obsidian is an exceptional employer, offering STEM PhDs the unique opportunity to collaborate with leading AI labs on innovative projects that push the boundaries of technology. With a flexible part-time schedule and a supportive work culture that values communication and attention to detail, employees can thrive while contributing to meaningful advancements in AI. Additionally, Obsidian fosters professional growth through ongoing learning opportunities, making it an ideal workplace for those seeking to make a significant impact in their field.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data & LLM Expert (STEM PhD) — Part-Time
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as this will be crucial when discussing your expertise with potential employers.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant AI projects, make sure to highlight them during interviews. This demonstrates your hands-on experience and passion for the field.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team!
We think you need these skills to ace AI Data & LLM Expert (STEM PhD) — Part-Time
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your STEM PhD and any relevant experience in AI or data creation. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills!
Tailor Your Application:Customise your application to fit the job description. Use keywords from the posting to demonstrate that you understand what we’re looking for. This shows us you’re genuinely interested in the position.
Be Clear and Concise:Strong written communication is key! Keep your application clear and to the point. We appreciate attention to detail, so make sure there are no typos or grammatical errors.
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 ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Obsidian
✨Showcase Your Expertise
Make sure to highlight your STEM PhD background and any relevant projects you've worked on. Be prepared to discuss specific examples of how you've tackled complex problems in your field, as this will demonstrate your capability to contribute to AI innovation.
✨Communicate Clearly
Since strong written and verbal communication skills are essential for this role, practice explaining your ideas clearly and concisely. Consider doing mock interviews with a friend or using online platforms to refine your communication style.
✨Attention to Detail is Key
During the interview, pay close attention to the questions being asked and ensure your answers are thorough and precise. This will not only showcase your attention to detail but also reflect your ability to handle the intricacies of data creation for AI.
✨Prepare for Flexibility
As the role requires 15-20 hours per week with the potential for more, be ready to discuss your availability and how you can manage your time effectively. Showing that you're adaptable and organised will make a great impression.
