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For Companies At a Glance
- Tasks: Train AI models by solving complex mathematical problems and evaluating their outputs.
- Company: Join a forward-thinking team focused on advancing AI technology.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at $40+ per hour.
- Why this job: Be part of an innovative project that shapes the future of AI while working on your own terms.
- Qualifications: Expertise in mathematics is essential; a Masters or PhD is preferred but not mandatory.
- Other info: Payment is securely handled via PayPal, with no fees required from you.
The predicted salary is between 28000 - 48000 £ per year.
Job Description
Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
We are looking for an expert Mathematician (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Math team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development.
Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging math problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.
To get started, once you sign up for an
Applied Mathematician employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Mathematician
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly how they relate to mathematical modelling. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with online communities or forums related to applied mathematics and AI. Networking with professionals in these fields can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to discuss specific mathematical problems you've solved in the past, especially those that relate to AI or data analysis. Being able to articulate your thought process will showcase your expertise and problem-solving skills.
✨Tip Number 4
Stay updated on the latest tools and software used in AI development. Familiarity with programming languages like Python or R can be a significant advantage, as it shows your ability to apply mathematical concepts in practical scenarios.
We think you need these skills to ace Applied Mathematician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your mathematical expertise and any relevant experience in AI or computer science. Emphasise your advanced degree or ongoing studies, and include specific projects or research that demonstrate your skills.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for mathematics and AI. Discuss how your background aligns with the responsibilities of the role, and provide examples of how you've solved complex problems in the past.
Highlight Relevant Skills: In your application, clearly list your proficiency in areas such as arithmetic, algebra, calculus, and statistics. Mention any experience you have with evaluating AI models or working on similar projects to strengthen your application.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors. Ensure that your language is clear and professional, as attention to detail is crucial for this role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Mathematical Expertise
Be prepared to discuss your advanced mathematical knowledge in detail. Highlight specific areas such as calculus, statistics, and probability, and be ready to explain how you've applied these concepts in real-world scenarios.
✨Demonstrate Problem-Solving Skills
Expect to tackle some complex mathematical problems during the interview. Practice solving various types of problems beforehand, and be ready to articulate your thought process clearly as you work through them.
✨Familiarise Yourself with AI Concepts
Since the role involves training AI models, brush up on basic AI principles and how they relate to mathematics. Understanding how AI chatbots function and the common challenges they face will give you an edge.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the projects you'll be working on and the team dynamics. This shows your genuine interest in the role and helps you assess if the position aligns with your career goals.
