At a Glance
- Tasks: Develop complex problem statements and collaborate with top AI researchers.
- Company: Leading AI research organisation offering a remote work environment.
- Benefits: Earn $75-$90/hr with flexible hours between 10 to 40 per week.
- Why this job: Join a cutting-edge team and enhance AI model performance while working remotely.
- Qualifications: Master’s or PhD in a STEM field with a strong research background.
- Other info: Flexible commitments allow for a balanced work-life experience.
The predicted salary is between 56 - 67 £ per hour.
A leading AI research organization is seeking a General Postdoctoral Researcher for a remote role. This position involves developing complex problem statements and collaborating with AI researchers to enhance model performance.
The ideal candidate will hold a Master’s or PhD in a STEM field and have a strong research background. Compensation ranges from $75 to $90 per hour, with flexible commitments of 10 to 40 hours per week.
Remote AI Research Fellow (Postdoc) - $75-$90/hr in Birmingham employer: Labelbox
Contact Detail:
Labelbox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Research Fellow (Postdoc) - $75-$90/hr in Birmingham
✨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 a lead or can put in a good word for you.
✨Tip Number 2
Showcase your research! Create a portfolio that highlights your best work and any relevant projects. This will give potential employers a clear idea of what you bring to the table and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in AI research. Think about how your experience aligns with the role and be ready to discuss specific examples of your work and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles like the Remote AI Research Fellow. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Remote AI Research Fellow (Postdoc) - $75-$90/hr in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI research and any complex problem statements you've tackled. 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 research and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Research Background: Since this role requires a strong research background, be sure to include specific projects or papers that demonstrate your expertise. We’re keen to see how your work has impacted the field and what you can bring to the table.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Labelbox
✨Know Your Research Inside Out
Make sure you can discuss your previous research projects in detail. Be prepared to explain your methodologies, findings, and how they relate to the role you're applying for. This shows your depth of knowledge and passion for the field.
✨Familiarise Yourself with AI Trends
Stay updated on the latest developments in AI research. Being able to discuss current trends and how they might impact your work will impress the interviewers and demonstrate your commitment to the field.
✨Prepare Thoughtful Questions
Think of insightful questions to ask about the organisation's research focus and future projects. This not only shows your interest but also helps you gauge if the role aligns with your career goals.
✨Showcase Collaboration Skills
Since the role involves working with other researchers, be ready to share examples of successful collaborations from your past. Highlight how you contributed to team projects and what you learned from those experiences.