At a Glance
- Tasks: Contribute to cutting-edge AI projects by creating high-quality data and solving complex problems.
- Company: Join a leading AI lab with a focus on innovation and excellence.
- Benefits: Flexible part-time hours, competitive pay, and the chance to work on groundbreaking technology.
- Other info: Part-time role with potential for increased hours and career growth.
- Why this job: Make a real impact in the AI field while collaborating with top experts.
- Qualifications: STEM PhD required, with strong attention to detail and communication skills.
The predicted salary is between 30000 - 40000 £ per year.
Obsidian is seeking STEM PhDs for a premier project with a top AI lab, requiring academic expertise to contribute to state-of-the-art language models. Your role involves creating high-quality data and identifying challenging problems in your domain.
The position starts in April and requires 15-20 hours of work weekly, with opportunities to extend to 40 hours.
Ideal candidates will have a STEM PhD, attention to detail, and exceptional communication skills.
Senior STEM SME for AI Data & LLM Quality (Part-Time) in London employer: Obsidian
At Obsidian, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their fields. As a part-time Senior STEM SME for AI Data & LLM Quality, you will have the unique opportunity to work alongside leading experts in a top AI lab, contributing to groundbreaking projects while enjoying flexible hours that accommodate your academic commitments. We are dedicated to supporting your professional growth through continuous learning opportunities and a commitment to excellence in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior STEM SME for AI Data & LLM Quality (Part-Time) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and STEM fields. Let them know you're on the lookout for opportunities, and who knows? They might just point you towards that perfect role at Obsidian.
✨Tip Number 2
Show off your expertise! Prepare to discuss your PhD work and how it relates to AI data and language models. Be ready to share specific examples of your attention to detail and problem-solving skills during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your communication skills. This will help you articulate your thoughts clearly and confidently when discussing your qualifications for the role.
✨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 Senior STEM SME for AI Data & LLM Quality (Part-Time) in London
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your STEM PhD and any relevant experience in your application. We want to see how your academic background aligns with the role, so don’t hold back on showcasing your skills!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your expertise can contribute to state-of-the-art language models and the challenges you’re excited to tackle. We love seeing candidates who take the time to connect their experience with our needs.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and get straight to the point. We appreciate well-structured applications that are easy to read and understand.
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 the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Obsidian
✨Know Your Stuff
Make sure you brush up on your STEM knowledge, especially in areas related to AI and language models. Be prepared to discuss your PhD research and how it relates to the role. This will show that you’re not just a fit on paper but also have the expertise to contribute meaningfully.
✨Showcase Your Attention to Detail
Since the role requires high-quality data creation, be ready to provide examples of how you've demonstrated attention to detail in your previous work. Whether it's through your research or any projects, highlight specific instances where your meticulousness made a difference.
✨Communicate Clearly
Exceptional communication skills are a must for this position. Practice explaining complex concepts in simple terms, as you may need to collaborate with non-experts. During the interview, focus on clarity and conciseness to make a strong impression.
✨Ask Insightful Questions
Prepare thoughtful questions about the project and the team at Obsidian. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. It’s a great way to demonstrate your enthusiasm and engagement.
