At a Glance
- Tasks: Leverage your expertise to create high-quality data for AI innovation.
- Company: Join Obsidian, collaborating with a leading AI lab.
- Benefits: Competitive pay of $55-90/hour and flexible work options.
- Other info: Ideal for STEM PhDs looking to make an impact in AI.
- Why this job: Transform the future of AI while working on exciting projects.
- Qualifications: PhD or advanced degree in a relevant field with strong communication skills.
The predicted salary is between 110000 - 187200 £ per year.
Obsidian is seeking STEM PhDs and Technical Domain Experts for an exciting project with a leading AI lab. This role offers a competitive pay between $55-90/hour. You will leverage your expertise to create high-quality data that drives AI innovation.
The ideal candidate will have a PhD or advanced degree in a relevant field, along with exceptional communication skills and attention to detail. Apply now to transform the future of AI!
AI LLM Data Domain Expert (PhD) employer: Obsidian
At Obsidian, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our team of STEM PhDs and Technical Domain Experts enjoy competitive pay, opportunities for professional growth, and the chance to contribute to groundbreaking AI projects in a supportive environment. Join us in shaping the future of AI while working alongside some of the brightest minds in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI LLM Data Domain Expert (PhD)
✨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 the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your PhD research in detail. We want to see how your expertise can drive AI innovation, so practice articulating your ideas clearly.
✨Tip Number 3
Showcase your passion for AI! When you get the chance to chat with potential employers, make sure to express your enthusiasm for the field. Let them know why you’re excited about transforming the future of AI.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI LLM Data Domain Expert (PhD)
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your PhD and any relevant experience in your application. 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 CV and cover letter for this specific role. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you fit the bill.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your communication is easy to follow.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Obsidian
✨Know Your Stuff
Make sure you brush up on the latest trends and advancements in AI and data science. Since Obsidian is looking for someone with a PhD, be prepared to discuss your research and how it relates to their projects.
✨Showcase Your Communication Skills
As exceptional communication skills are a must, practice explaining complex concepts in simple terms. You might be asked to present your ideas or findings, so clarity and confidence are key!
✨Attention to Detail is Crucial
Prepare examples from your past work where your attention to detail made a significant impact. This could be in your research, data analysis, or project management—anything that highlights your meticulous nature.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the specific projects you'll be working on or how they measure success in their AI initiatives.
