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- Tasks: Train AI models by solving complex maths problems and evaluating their outputs.
- Company: Join a cutting-edge team focused on advancing AI technology.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £29.72 per hour.
- Why this job: Make an impact in AI while working on projects that excite you.
- Qualifications: Advanced maths knowledge; Masters/PhD preferred but not essential.
- Other info: Payment via PayPal; no fees required from applicants.
We are looking for a mathematician with an advanced degree to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of mathematical reasoning - a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Applied Math and/or Computer Science.
Benefits:
- This is a full-time or part-time REMOTE position
- You will be able to choose which projects you want to work on
- You can work on your own schedule
- Projects are paid hourly starting at £29.72 per hour, with bonuses on high-quality and high-volume work
Responsibilities:
- Give AI chatbots diverse and complex mathematics problems and evaluate their outputs
- Evaluate the quality produced by AI models for correctness and performance
Qualifications:
- Fluency in English (native or bilingual level)
- Detail-oriented
- Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning
- A current, in progress, or completed Masters and/or PhD is preferred but not required
Note: Payment is made via PayPal. We will never ask for any money from you.
Job Types: Full-time, Part-time
Expected hours: 1 - 40 per week
Location: Cambridge (required)
Work Location: Remote
AI Trainer - Mathematics employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Trainer - Mathematics
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially those related to mathematics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI and mathematics fields. Join relevant online forums or social media groups where you can connect with others who may have insights or even referrals for the position at StudySmarter.
✨Tip Number 3
Prepare to discuss specific mathematical concepts and their applications in AI during your interview. Being able to articulate how your expertise can directly contribute to training AI models will set you apart from other candidates.
✨Tip Number 4
Showcase any relevant projects or research you've done in mathematics or AI. Having concrete examples of your work can demonstrate your capabilities and passion for the field, making you a more attractive candidate for us.
We think you need these skills to ace AI Trainer - Mathematics
Some tips for your application 🫡
Highlight Relevant Qualifications: Make sure to emphasise your advanced degree in mathematics or related fields like Applied Math or Computer Science. If you have a Masters or PhD, mention it prominently in your CV and cover letter.
Showcase Your Skills: Detail your proficiency in arithmetic, algebra, geometry, calculus, probability, and statistics. Provide specific examples of how you've applied these skills in previous roles or projects.
Tailor Your Application: Customise your CV and cover letter to reflect the responsibilities mentioned in the job description. Discuss your experience with evaluating AI models and solving complex mathematical problems.
Proofread Your Documents: Before submitting your application, thoroughly proofread your CV and cover letter for any errors. A well-written application reflects attention to detail, which is crucial for this role.
How to prepare for a job interview at Job Traffic
✨Showcase Your Mathematical Expertise
Be prepared to discuss your advanced knowledge in mathematics. Highlight specific areas such as algebra, calculus, and statistics, and be ready to provide examples of how you've applied these skills in real-world scenarios.
✨Demonstrate Problem-Solving Skills
Expect to tackle complex mathematical problems during the interview. Practice explaining your thought process clearly and logically, as this will showcase your reasoning abilities and how you approach problem-solving.
✨Familiarise Yourself with AI Concepts
While the role focuses on mathematics, having a basic understanding of AI and machine learning concepts can set you apart. Research how AI models are trained and evaluated, and be ready to discuss how your mathematical skills can enhance these processes.
✨Prepare Questions for the Interviewers
Engage with your interviewers by preparing thoughtful questions about the projects you'll be working on and the team dynamics. This shows your interest in the role and helps you assess if the company aligns with your career goals.
