At a Glance
- Tasks: Evaluate AI content and provide expert feedback to enhance performance.
- Company: Lifted, an Upwork Company™, known for innovation in AI.
- Benefits: Flexible hours and competitive pay up to $150 per hour.
- Other info: Fully remote role perfect for balancing work and study.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: PhD in Computer Science or related field with strong analytical skills.
The predicted salary is between 120000 - 150000 £ per year.
Lifted, an Upwork Company™, is seeking a PhD Computer Science Expert for a fully remote role focused on AI training. Candidates will assess AI-generated content, craft domain-specific questions, and provide expert feedback to improve AI performance.
This freelance position offers flexible hours and compensation of up to $150 USD per hour. Ideal for those with a PhD in Computer Science or related fields, strong analytical skills, and the ability to evaluate complex technical outputs.
Remote PhD CS Expert for AI Training & Evaluation in London employer: Lifted, an Upwork Company™
Lifted, an Upwork Company™, is an exceptional employer that values flexibility and expertise, offering a fully remote role that allows you to work from anywhere while contributing to cutting-edge AI training. With competitive compensation of up to $150 USD per hour, a supportive work culture, and opportunities for professional growth in the rapidly evolving field of artificial intelligence, Lifted provides a rewarding environment for PhD Computer Science experts looking to make a meaningful impact.
Contact Details:
Lifted, an Upwork Company™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Remote PhD CS Expert for AI Training & Evaluation in London
✨Tip Number 1
Network like a pro! Reach out to fellow PhD holders or industry experts on LinkedIn. A personal connection can often get your foot in the door faster than a standard application.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your work in AI training and evaluation. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and computer science. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to 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!
We think you need these skills to ace Remote PhD CS Expert for AI Training & Evaluation in London
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your PhD and any relevant experience in AI training or evaluation. We want to see how your background makes you the perfect fit for this role!
Tailor Your Application:Don’t just send a generic application! Customise your CV and cover letter to reflect the specific skills and experiences that align with the job description. It shows us you’re genuinely interested.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the right candidate!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Lifted, an Upwork Company™
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and machine learning. Since this role involves evaluating AI-generated content, be prepared to discuss specific examples from your experience and how you've approached similar challenges.
✨Craft Thoughtful Questions
Prepare some domain-specific questions that you might use to assess AI outputs. This shows your expertise and gives insight into your thought process. It also demonstrates your proactive approach to the role.
✨Showcase Your Analytical Skills
Be ready to explain your analytical methods and how you evaluate complex technical outputs. Use clear examples from your past work to illustrate your problem-solving abilities and critical thinking skills.
✨Emphasise Flexibility and Collaboration
Since this is a remote position, highlight your ability to work independently while also being a team player. Discuss any previous remote work experiences and how you effectively communicate and collaborate with others in a virtual environment.
