At a Glance
- Tasks: Contribute your expertise to a premier AI project and create high-quality data.
- Company: Join Obsidian, collaborating with one of the world's top AI labs.
- Benefits: Flexible part-time hours with potential for full-time work.
- Other info: Exciting opportunity to work on cutting-edge large language models.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Must hold a STEM PhD 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 one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving innovative large language models, creating high-quality data to inform AI innovation.
The project requires 15-20 hours of work per week, potentially extending to 40 hours.
Applicants should hold a STEM PhD and possess strong attention to detail, communication skills, and proficiency in English.
STEM PhD for AI Data & Benchmarking (Part-Time) employer: Obsidian
Obsidian is an exceptional employer, offering STEM PhDs the opportunity to work on groundbreaking projects with one of the world's leading AI labs. Our collaborative work culture fosters innovation and creativity, while our commitment to employee growth ensures that you will have access to valuable resources and mentorship. Located in a vibrant tech hub, we provide a flexible part-time schedule that allows you to balance your academic pursuits with meaningful contributions to the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land STEM PhD for AI Data & Benchmarking (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 the inside scoop on openings at top labs.
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of large language models and be ready to discuss your research. We want you to showcase your expertise and how it aligns with the project at Obsidian.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace STEM PhD for AI Data & Benchmarking (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 benchmarking. We want to see how your background aligns with the cutting-edge work we're doing!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate strong communication skills, so let your writing reflect that!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to this specific role. Mention how your skills can contribute to our innovative projects at Obsidian.
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 this exciting opportunity!
How to prepare for a job interview at Obsidian
✨Know Your Stuff
Make sure you’re well-versed in the latest developments in AI and large language models. Brush up on your research and be ready to discuss how your expertise can contribute to the project at Obsidian.
✨Showcase Your Attention to Detail
Since the role requires strong attention to detail, prepare examples from your past work where this skill was crucial. Highlight specific instances where your meticulousness led to successful outcomes.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You might be asked to present your ideas or findings, so being able to communicate effectively is key. Consider doing mock interviews with friends or colleagues.
✨Ask Insightful Questions
Prepare thoughtful questions about the project and the team at Obsidian. This shows your genuine interest and helps you assess if the role aligns with your career goals. It’s a two-way street!
