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- Tasks: Design mathematical problems and evaluate AI solutions using Python.
- Company: Leading AI solutions company looking for talented mathematicians.
- Benefits: Flexible hours and competitive pay up to $32/hour.
- Why this job: Contribute to cutting-edge AI projects while utilising your maths expertise.
- Qualifications: Degree in Mathematics and 3+ years of experience required.
- Other info: Part-time, project-based role with opportunities for growth.
The predicted salary is between 25 - 32 £ per hour.
A company specializing in AI solutions seeks mathematicians for part-time, project-based contributions in the UK.
Contributors will:
- Design mathematical problems
- Evaluate AI solutions
- Validate simulations using Python
Candidates should possess:
- A degree in Mathematics
- At least 3 years of experience
- Strong English proficiency
The role offers flexible hours, with payment rates up to $32/hour based on expertise and project needs.
Mathematics Expert for AI Evaluation & Training employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mathematics Expert for AI Evaluation & Training
✨Tip Number 1
Network like a pro! Reach out to fellow mathematicians and AI enthusiasts on LinkedIn or at local meetups. You never know who might have the inside scoop on opportunities that aren't advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your mathematical problem designs and any AI evaluations you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Be proactive! Don’t just wait for job postings; reach out directly to companies you admire. Express your interest in contributing to their projects, and who knows, they might have something perfect for you!
✨Tip Number 4
Apply through our website! We make it super easy for you to find roles that match your expertise. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Mathematics Expert for AI Evaluation & Training
Some tips for your application 🫡
Show Off Your Maths Skills: Make sure to highlight your degree in Mathematics and any relevant experience you have. We want to see how you've applied your skills in real-world scenarios, especially if you've worked with AI or Python before!
Tailor Your Application: Don’t just send a generic CV! We love it when candidates customise their applications to fit the role. Mention specific projects or experiences that relate to designing mathematical problems or evaluating AI solutions.
Keep It Clear and Concise: We appreciate clarity! Use straightforward language and avoid jargon unless it's necessary. Make your application easy to read so we can quickly see why you’d be a great fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company there!
How to prepare for a job interview at Mindrift
✨Know Your Maths Inside Out
Make sure you brush up on your mathematical concepts and problem-solving techniques. Be ready to discuss your previous projects and how you've applied your skills in real-world scenarios, especially in relation to AI.
✨Show Off Your Python Skills
Since the role involves validating simulations using Python, be prepared to talk about your experience with the language. Bring examples of code you've written or projects where you've used Python to solve mathematical problems.
✨Understand the Company’s AI Solutions
Do some research on the company’s AI solutions and think about how your expertise can contribute to their projects. This will show that you're genuinely interested and have a proactive approach to understanding their work.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in practical scenarios. Think about how you would design mathematical problems or evaluate AI solutions, and be ready to explain your thought process clearly.
