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- Tasks: Train AI models by evaluating their mathematical logic and solving complex problems.
- Company: Join a forward-thinking team dedicated to 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 skills; a Masters/PhD is 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 £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.
AI Trainer - Mathematics employer: DataAnnotation
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, 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. Attend webinars, join relevant online forums, or connect with people on LinkedIn. Building relationships can lead to valuable insights and potential referrals for the 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. Whether it's a thesis, a personal project, or contributions to open-source initiatives, having tangible examples of your work can greatly enhance your candidacy.
We think you need these skills to ace AI Trainer - Mathematics
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, if applicable, and any specific projects that showcase your skills.
Craft a Strong Cover Letter: Write a cover letter that explains why you are passionate about AI and mathematics. Mention specific experiences that demonstrate your problem-solving abilities and detail-oriented nature, as these are key for the role.
Showcase Relevant Skills: In your application, clearly outline your proficiency in arithmetic, algebra, geometry, calculus, probability, and statistics. Provide examples of how you've applied these skills in previous roles or projects.
Proofread Your Application: Before submitting, carefully proofread your application to ensure there are no grammatical errors or typos. A polished application reflects your 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, showcasing your logical reasoning abilities.
✨Familiarise Yourself with AI Concepts
Even if you're not an AI expert, having a basic understanding of how AI models work will set you apart. Research common AI terminology and concepts, especially those related to training and evaluating models, to show your enthusiasm for the field.
✨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 company's vision for AI development. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
