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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 mandatory.
- 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\’ll be able to choose which projects you want to work on
You can work on your own schedule
Projects are paid hourly starting at $40+ USD 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
Pay: From £29.72 per hour
Expected hours: 1 – 40 per week
Location:
Oxford (required)
Work Location: Remote
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Contact Detail:
DataAnnotation 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, particularly in how they relate 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 field of AI and mathematics. Join relevant online forums or attend webinars to connect with others who may have insights or even job leads that could help you land this position.
✨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 role, making a strong impression on the hiring team.
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 various mathematical areas such as arithmetic, algebra, geometry, calculus, probability, and statistics. Use specific examples from your experience to demonstrate your expertise.
Tailor Your Application: Customise your CV and cover letter to reflect the responsibilities of the AI Trainer role. Mention your experience with evaluating outputs and solving complex problems, as these are key aspects of the job.
Proofread Your Documents: Before submitting your application, carefully proofread your CV and cover letter for any errors. A well-written application reflects attention to detail, which is crucial for this position.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Mathematical Expertise
Be prepared to discuss your advanced knowledge in mathematics. Highlight specific areas such as calculus, statistics, or algebra that you excel in, and be ready to provide examples of how you've applied these skills in real-world scenarios.
✨Demonstrate Problem-Solving Skills
Since the role involves evaluating AI outputs and solving complex problems, think of examples where you've tackled challenging mathematical problems. Discuss your thought process and how you arrived at solutions, as this will showcase your analytical abilities.
✨Familiarise Yourself with AI Concepts
Even if your background is primarily in mathematics, having a basic understanding of AI and machine learning concepts can set you apart. Research how AI models work and be ready to discuss how your mathematical skills can enhance their performance.
✨Prepare Questions for the Interviewers
Interviews are a two-way street. Prepare insightful questions about the projects you'll be working on, the team dynamics, and the evaluation processes for AI models. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
