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- Tasks: Evaluate AI outputs in academic settings and provide insightful feedback.
- Company: Join Mercor, a forward-thinking company in the education sector.
- Benefits: Earn $45–$65 per hour with flexible contract work.
- Other info: Opportunity to influence AI use in universities and enhance your professional profile.
- Why this job: Shape the future of education by assessing AI's role in academia.
- Qualifications: 3+ years in higher education with strong analytical and communication skills.
The predicted salary is between 36000 - 52000 £ per year.
Mercor is looking for a Higher Education Professional to evaluate AI-generated outputs in academic contexts. Responsibilities include reviewing outputs, creating university-based scenarios, and providing feedback on AI accuracy in academia.
Ideal candidates will have over 3 years of experience in higher education roles such as academic administration or faculty, alongside strong analytical thinking and communication skills.
The position is contract-based offering $45–$65 per hour.
Higher Ed AI Evaluator — Contract in London employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Higher Ed AI Evaluator — Contract in London
✨Tip Number 1
Network like a pro! Reach out to your connections in higher education 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
Prepare for interviews by brushing up on your analytical thinking skills. Think of examples from your past roles where you've evaluated outputs or provided feedback, as these will be key in showcasing your fit for the role.
✨Tip Number 3
Don’t underestimate the power of a strong online presence. Update your LinkedIn profile to reflect your experience in academic administration or faculty roles, and engage with content related to AI in education to show your interest.
✨Tip Number 4
Apply through our website! It’s the best 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 Higher Ed AI Evaluator — Contract in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in higher education roles. We want to see how your background aligns with the responsibilities of evaluating AI outputs, so don’t hold back on showcasing relevant skills and experiences!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in academia and how your analytical thinking can contribute to our mission. Keep it engaging and personal – we love to see your personality!
Showcase Your Analytical Skills: Since the role involves evaluating AI accuracy, make sure to highlight any previous experience where you've had to analyse data or provide feedback. We’re looking for candidates who can think critically and communicate their insights effectively.
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 – just follow the prompts and you’ll be set!
How to prepare for a job interview at Mercor
✨Know Your AI
Familiarise yourself with the latest trends in AI, especially in higher education. Be ready to discuss how AI can impact academic outputs and share your thoughts on its accuracy and reliability.
✨Showcase Your Experience
Highlight your experience in higher education roles. Prepare specific examples of how you've contributed to academic administration or faculty work, and be ready to explain how these experiences make you a great fit for evaluating AI outputs.
✨Prepare Thoughtful Scenarios
Think about university-based scenarios you could create for evaluating AI outputs. This shows your understanding of the academic context and your ability to think critically about AI's role in education.
✨Communicate Clearly
Strong communication skills are key. Practice articulating your thoughts clearly and concisely, especially when discussing complex ideas related to AI and academia. This will help you stand out as a candidate who can provide valuable feedback.