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 and work with top-tier professionals in the field.
- Benefits: Flexible part-time hours, potential for full-time, and the chance to work on groundbreaking technology.
- Other info: Part-time role with opportunities for growth and extension.
- Why this job: Make a real impact in AI while collaborating with experts and advancing your career.
- 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) 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 not only contribute to cutting-edge projects with a leading AI lab but also enjoy flexible working hours that accommodate your academic commitments. We offer unique opportunities for professional growth and development, ensuring that your expertise is valued and nurtured in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior STEM SME for AI Data & LLM Quality (Part-Time)
✨Tip Number 1
Network like a pro! Reach out to your academic contacts and let them know you're on the hunt for opportunities. You never know who might have a lead on a project that needs your STEM expertise.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your previous work in AI and data quality. This will help you stand out when chatting with potential employers.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing answers to common questions in your field. Focus on how your PhD experience has prepared you for tackling complex problems in AI.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills, so take advantage of it and get your application in early.
We think you need these skills to ace Senior STEM SME for AI Data & LLM Quality (Part-Time)
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 personalised applications!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate exceptional communication skills, so make sure your writing reflects that. Avoid jargon unless it’s necessary, and ensure your ideas flow logically.
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 to do!
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 at Obsidian.
✨Showcase Your Attention to Detail
Since the job requires high-quality data creation, be ready to provide examples of how you've demonstrated attention to detail in your previous work. This could be through specific projects or challenges you've tackled.
✨Communicate Clearly
Exceptional communication skills are a must for this role. Practice explaining complex concepts in simple terms, as you may need to convey your ideas to non-experts during the interview.
✨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 understand how you can contribute effectively.
