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- Tasks: Design advanced chemistry problems for AI testing and evaluate AI outputs.
- Company: Leading AI collaboration company with a focus on innovation.
- Benefits: Flexible hours, competitive pay up to £35 per hour, and fully remote work.
- Why this job: Join cutting-edge projects and engage with industry-leading AI models.
- Qualifications: Master's in Chemistry or related fields; no prior AI experience needed.
- Other info: High-impact role with the opportunity to shape the future of AI.
The predicted salary is between 26 - 35 £ per hour.
A leading AI collaboration company is seeking individuals with a Master's in Chemistry or related fields to design advanced chemistry problems for AI testing. This fully remote role offers flexible hours and compensation of up to $35 per hour.
Responsibilities include developing solutions and evaluating AI outputs, without the need for prior AI experience. Join us to work on cutting-edge projects and engage directly with industry-leading AI models.
Remote Chemistry AI Data Trainer — Flexible, High-Impact in Manchester employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Chemistry AI Data Trainer — Flexible, High-Impact in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the chemistry and AI fields. You never know who might have a lead on that perfect remote role or can give you insider info about the company.
✨Tip Number 2
Prepare for virtual interviews by practising common questions related to chemistry and AI. Make sure you can explain your thought process clearly, as this will show your problem-solving skills and how you approach challenges.
✨Tip Number 3
Showcase your passion for AI and chemistry in your conversations. Share any relevant projects or experiences that highlight your skills and enthusiasm. This can really set you apart from other candidates!
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Remote Chemistry AI Data Trainer — Flexible, High-Impact in Manchester
Some tips for your application 🫡
Show Off Your Chemistry Skills: Make sure to highlight your Master's in Chemistry or any related experience. We want to see how your background can help us design those advanced chemistry problems!
Tailor Your Application: Don’t just send a generic application! Take the time to customise your CV and cover letter to reflect the specific requirements of the Remote Chemistry AI Data Trainer role. It shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point about your skills and experiences.
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 our team!
How to prepare for a job interview at Alignerr
✨Know Your Chemistry Inside Out
Make sure you brush up on your chemistry knowledge, especially the areas relevant to the role. Be prepared to discuss advanced concepts and how they can be applied in AI testing. This will show your passion and expertise in the field.
✨Familiarise Yourself with AI Basics
Even though prior AI experience isn't required, having a basic understanding of AI principles can set you apart. Read up on how AI models work and think about how chemistry problems can be integrated into these systems.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the company's projects and their approach to AI in chemistry. This shows your genuine interest and helps you assess if the role is the right fit for you.
✨Showcase Your Problem-Solving Skills
Be ready to discuss examples from your past where you've tackled complex problems. Highlight your analytical skills and how you approach challenges, as this is crucial for developing solutions for AI outputs.
