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- Tasks: Review and validate econometric questions and models for AI training.
- Company: Leading AI evaluation organisation with a focus on innovation.
- Benefits: Flexible hours, competitive pay, and potential for contract extension.
- Why this job: Join a dynamic team working on cutting-edge AI projects.
- Qualifications: 3+ years teaching experience and strong knowledge of regression and statistics.
- Other info: Remote position offering great work-life balance.
The predicted salary is between 26 - 52 £ per hour.
A leading AI evaluation organization is seeking experienced econometrics instructors to review and validate econometric questions and models used in AI training. The role requires 3+ years of teaching experience and a strong grasp of regression and statistical methods. This remote position offers flexibility in hours and compensation ranging from $35 to $70 per hour. Join our innovative team working on cutting-edge AI projects with the potential for contract extension.
Remote Econometrics Instructor for AI Training employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Econometrics Instructor for AI Training
✨Tip Number 1
Network like a pro! Reach out to fellow econometrics instructors or AI professionals on LinkedIn. A personal connection can often lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your teaching materials, econometric models, and any relevant projects. This will help you stand out when you’re chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common econometrics questions and AI applications. We recommend practising with a friend or recording yourself to refine your delivery and confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Econometrics Instructor for AI Training
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your teaching experience and expertise in econometrics. We want to see how your skills align with the role, so don’t be shy about showcasing your knowledge of regression and statistical methods!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI training and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Experience: When filling out your application, be sure to include any relevant projects or experiences that demonstrate your ability to review and validate econometric questions. We’re looking for specific examples that highlight your expertise!
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 Alignerr
✨Know Your Econometrics Inside Out
Make sure you brush up on your econometric theories, especially regression and statistical methods. Be prepared to discuss specific models you've used in the past and how they apply to AI training. This will show your depth of knowledge and practical experience.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to validate econometric questions or models. Think about real-life scenarios where you've had to review or critique a model. Practising these responses will help you articulate your thought process clearly during the interview.
✨Showcase Your Teaching Experience
With 3+ years of teaching experience required, be ready to share examples of your teaching methods and how you've engaged students. Highlight any innovative approaches you've taken, especially those that could translate well into remote learning environments.
✨Emphasise Flexibility and Collaboration
Since this is a remote position, demonstrate your ability to work independently while also being a team player. Share examples of how you've successfully collaborated with others in a virtual setting, as this will be crucial for working on cutting-edge AI projects.
