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- Tasks: Craft and solve real-world problems to advance AI innovation.
- Company: Leading AI research lab with a focus on impactful projects.
- Benefits: Competitive pay of $65-$75/hour, fully remote, and flexible schedule.
- Why this job: Shape the future of AI while working with top experts in the field.
- Qualifications: PhD or Master's in Computer Science and strong communication skills.
- Other info: Join a dynamic team with opportunities for project extension.
We are seeking Computer Science PhDs to contribute to a high-impact project with a leading AI research lab. This role offers competitive pay of $65-$75/hour.
In this position, you will apply your domain expertise to craft high-quality, challenging problems that have real-world applicability and help advance frontier large language models. Your work will play a key role in shaping the next generation of AI innovation.
Requirements
- Master\’s or PhD in Computer Science from a top university
- Exceptional attention to detail
- Strong written and verbal communication skills
- Excellent proficiency in English
- Based in U.S., Canada, UK, Australia, or New Zealand
Key Responsibilities
- Work asynchronously with a team of domain experts
- Craft, solve, and review challenging, real-world problems
- Contribute 10-20 hours per week, with potential for increased hours and project extension
- Fully remote and flexible schedule
Start Date
- Late September, with rolling application review
Interview Process
- Complete a short interview to assess domain expertise
- Paid onboarding time (up to 1 hour) including the screening process and onboarding videos if hired
Compensation & Legal Details
- Legally classified as an hourly contractor
- Weekly payment via Stripe Connect
We are an equal opportunities employer and welcome applications from all qualified candidates.
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STEM PhDs (Computer Science) AI Trainer employer: Weekday AI (YC W21)
Contact Detail:
Weekday AI (YC W21) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land STEM PhDs (Computer Science) AI Trainer
✨Tip Number 1
Network like a pro! Reach out to fellow PhDs, professors, or industry contacts. A personal connection can often get your foot in the door faster than a standard application.
✨Tip Number 2
Show off your expertise! Prepare a portfolio or a presentation that highlights your best work and how it relates to AI. This will help you stand out during interviews and showcase your skills.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or colleagues to refine your communication skills. Being articulate about your research and its real-world applications is key.
✨Tip Number 4
Apply through our website! It’s the easiest way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace STEM PhDs (Computer Science) AI Trainer
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD and any relevant experience in Computer Science. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our project. Keep it engaging and tailored to the job description.
Pay Attention to Detail: We value exceptional attention to detail, so double-check your application for any typos or errors. A polished application reflects your professionalism and commitment to quality.
Apply Through Our Website: To make sure your application gets noticed, apply directly through our website. It’s the best way for us to receive your details and keep track of your application!
How to prepare for a job interview at Weekday AI (YC W21)
✨Know Your Stuff
Make sure you brush up on your domain expertise in Computer Science. Be ready to discuss your research and how it relates to AI, especially in crafting challenging problems. This will show that you’re not just knowledgeable but also passionate about the field.
✨Communicate Clearly
Since strong written and verbal communication skills are a must, practice explaining complex concepts in simple terms. You might be asked to present your ideas or solutions, so clarity is key. Consider doing mock interviews with friends to refine your delivery.
✨Show Your Flexibility
This role offers a fully remote and flexible schedule, so be prepared to discuss how you manage your time effectively. Highlight any previous experience working asynchronously with teams and how you ensure productivity while collaborating remotely.
✨Prepare for the Short Interview
The interview process includes a short assessment of your domain expertise. Anticipate questions that test your knowledge and problem-solving skills. Think of examples from your past work that demonstrate your ability to craft and solve real-world problems.
