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- Tasks: Train AI models by solving complex maths problems and evaluating chatbot outputs.
- Company: Join a forward-thinking team focused on enhancing AI through mathematics.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at $40+ per hour.
- Why this job: Make an impact in AI while working on projects that excite you in a supportive culture.
- Qualifications: Advanced maths knowledge; Masters/PhD preferred but not mandatory.
- Other info: Payment via PayPal; available only to applicants in select countries.
The predicted salary is between 28800 - 48000 £ per year.
Overview
Get AI-powered advice on this job and more exclusive features.
We are looking for an AI Trainer, Mathematics 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. Other related fields include, but are not to limited to: Applied Mathematics 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
Notes
Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Canada will be considered for this role. This is an independent contract position.
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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, particularly in how they relate to mathematics. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Prepare to discuss specific mathematical concepts and their applications in AI. Be ready to demonstrate your problem-solving skills through examples or case studies that showcase your expertise in areas like calculus, statistics, and logic.
✨Tip Number 3
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 advice about the role and the company culture at StudySmarter.
✨Tip Number 4
Stay updated on the latest trends in educational technology and how AI is being integrated into learning platforms. This will give you a competitive edge and show your genuine interest in contributing to our mission at StudySmarter.
We think you need these skills to ace AI Trainer, Mathematics
Some tips for your application 🫡
Highlight Your Qualifications: Make sure to emphasise your advanced degree in mathematics or related fields. If you have a Masters or PhD, mention it prominently in your CV and cover letter, as this is preferred for the role.
Showcase Relevant 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 and qualifications mentioned in the job description. Use keywords from the listing to demonstrate that you are a perfect fit for the AI Trainer position.
Proofread Your Documents: Before submitting your application, carefully proofread your CV and cover letter for any grammatical errors or typos. A polished application reflects attention to detail, which is crucial for this role.
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 solve problems on the spot to demonstrate your skills.
✨Familiarise Yourself with AI Concepts
Understand the basics of AI and how mathematical reasoning applies to training models. Being able to discuss how you would evaluate AI outputs and improve their performance will show your potential employer that you're a good fit for the role.
✨Prepare for Problem-Solving Scenarios
Expect to encounter practical problem-solving scenarios during the interview. Practice solving complex mathematical problems and explaining your thought process clearly, as this will be crucial in evaluating AI chatbots.
✨Demonstrate Attention to Detail
Since the role requires a detail-oriented approach, be sure to highlight any past experiences where your attention to detail made a significant impact. This could include projects or research where precision was key to success.
