At a Glance
- Tasks: Train AI models and evaluate chatbot outputs to enhance performance.
- Company: Leading AI firm in the UK with a focus on innovation.
- Benefits: Competitive pay starting at $40/hr, flexible remote work, and independent contract.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Strong analytical skills and proficiency in statistical techniques preferred.
- Other info: Enjoy a flexible schedule and the opportunity for impactful work.
The predicted salary is between 30 - 40 £ per hour.
A leading AI firm in the United Kingdom is seeking a Data Scientist to train AI models and improve their performance. You will evaluate the outputs of AI chatbots and measure their logic to enhance model quality.
The role requires strong analytical skills, with fluency in English and proficiency in statistical and mathematical techniques preferred.
This is a remote, independent contract position with flexible scheduling, offering competitive hourly rates starting at $40 USD.
AI Model Quality Scientist — Remote, $40+/hr in London employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Model Quality Scientist — Remote, $40+/hr in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or join relevant online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with AI models, including any projects or analyses you've done. 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 data science questions and case studies. Practising your responses will help you feel more confident and ready to impress during those crucial conversations.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team!
We think you need these skills to ace AI Model Quality Scientist — Remote, $40+/hr in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with AI models. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about improving AI model quality and how your skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Skills: If you have experience with statistical and mathematical techniques, make sure to mention them! We’re looking for someone who can hit the ground running, so highlight any relevant tools or software you’re proficient in.
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!
How to prepare for a job interview at DataAnnotation
✨Know Your AI Models
Make sure you brush up on the latest AI models and their evaluation metrics. Be prepared to discuss how you've previously trained or improved models, as well as any specific techniques you've used to measure their performance.
✨Show Off Your Analytical Skills
Since strong analytical skills are a must for this role, come ready with examples of how you've applied statistical and mathematical techniques in your past work. Think about specific projects where your analysis made a significant impact.
✨Prepare for Technical Questions
Expect some technical questions related to AI and data science. Review common algorithms, their applications, and be ready to explain your thought process when evaluating AI outputs. Practising with mock interviews can help you feel more confident.
✨Communicate Clearly
Fluency in English is key, so focus on articulating your thoughts clearly during the interview. Practice explaining complex concepts in simple terms, as this will demonstrate your understanding and ability to communicate effectively with non-technical stakeholders.