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- Tasks: Train AI models by solving complex maths problems and evaluating chatbot outputs.
- Company: DataAnnotation is innovating AI training with a focus on community knowledge.
- Benefits: Enjoy remote work, flexible hours, and earn from £29.62 per hour plus bonuses.
- Why this job: Join a cutting-edge team and make an impact in AI development while working on your own schedule.
- Qualifications: Proficiency in mathematics is essential; a Masters/PhD is preferred but not mandatory.
- Other info: Payment is via PayPal; no fees will be charged to you.
The predicted salary is between 61600 - 96000 £ per year.
We are looking for a mathematics instructor 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 mathematics, 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. PayPal will handle any currency conversions from USD.
Teacher of Mathematics- AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Teacher of Mathematics- AI Trainer
✨Tip Number 1
Familiarise yourself with AI and machine learning concepts, especially how they relate to mathematics. Understanding the basics of how AI models are trained and evaluated will give you an edge in discussions during interviews.
✨Tip Number 2
Prepare to demonstrate your mathematical reasoning skills through practical examples. Think of complex problems you've solved in the past and be ready to explain your thought process clearly.
✨Tip Number 3
Network with professionals in the AI and education sectors. Engaging with communities on platforms like LinkedIn can help you gain insights and potentially get referrals for the role.
✨Tip Number 4
Stay updated on the latest trends in AI and mathematics education. Being knowledgeable about current developments can help you stand out as a candidate who is passionate and informed.
We think you need these skills to ace Teacher of Mathematics- AI Trainer
Some tips for your application 🫡
Highlight Relevant Qualifications: Make sure to emphasise your mathematical expertise and any relevant qualifications, such as a Masters or PhD in Mathematics, Applied Math, or Computer Science. Clearly state your proficiency in various mathematical areas like algebra, calculus, and statistics.
Tailor Your CV: Customise your CV to reflect the specific skills and experiences that align with the Teacher of Mathematics- AI Trainer role. Include any previous teaching experience, especially in mathematics, and highlight any work related to AI or technology.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are passionate about teaching mathematics and training AI models. Discuss your approach to evaluating AI outputs and how your skills can contribute to improving their performance.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. 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 mathematical background in detail. Highlight any advanced degrees or relevant coursework, especially in areas like calculus, statistics, and algebra. This will demonstrate your capability to train AI models effectively.
✨Familiarise Yourself with AI Concepts
Understand the basics of how AI models work, particularly in relation to mathematics. Being able to explain how you would evaluate the logic and performance of AI chatbots will set you apart from other candidates.
✨Prepare for Problem-Solving Scenarios
Expect to tackle complex mathematical problems during the interview. Practise solving diverse problems and explaining your thought process clearly, as this will showcase your analytical skills and ability to improve AI outputs.
✨Demonstrate Attention to Detail
Since the role requires evaluating the quality of AI outputs, emphasise your detail-oriented nature. Provide examples from past experiences where your attention to detail made a significant impact on a project or outcome.
