Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 ÂŁ29.44 per hour.
- Why this job: Make an impact in AI while working on projects that excite you in a supportive culture.
- Qualifications: Expertise in maths is key; a Masters/PhD is preferred but not mandatory.
- Other info: Payment via PayPal; no fees required from applicants.
The predicted salary is between 61000 - 84000 ÂŁ per year.
Join to apply for the AI Trainer – Mathematics role at DataAnnotation
2 days ago Be among the first 25 applicants
Join to apply for the AI Trainer – Mathematics role at DataAnnotation
Get AI-powered advice on this job and more exclusive features.
This range is provided by DataAnnotation. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
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.
Is this your next job Read the full description below to find out, and do not hesitate to make an application.
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.
#INDUKMA
Job Types: Full-time, Part-time
Pay: From ÂŁ29.06 per hour
Expected hours: 1 – 40 per week
Location:
- Glasgow (required)
Work Location: Remote
Seniority level
-
Seniority level
Entry level
Employment type
-
Employment type
Contract
Job function
-
Job function
Education and Training
-
Industries
Software Development
Referrals increase your chances of interviewing at DataAnnotation by 2x
Sign in to set job alerts for “Mathematics Teacher” roles.
Earn from Home as a Maths Tutor – Flexible Hours, UK Students
Glasgow, Scotland, United Kingdom 1 week ago
Earn from Home as a Maths Tutor – Flexible Hours, UK Students
Glasgow, Scotland, United Kingdom 3 weeks ago
Earn from Home as a Maths Tutor – Flexible Hours, UK Students
Glasgow, Scotland, United Kingdom 1 month ago
Part-Time Maths Tutor – Flexible & Remote Opportunity (UK-wide)
Glasgow, Scotland, United Kingdom 3 weeks ago
Maths Tutor – Work from Anywhere with a Flexible Schedule
Glasgow, Scotland, United Kingdom 11 months ago
Maths Tutor – Part time, Work From Anywhere
Glasgow, Scotland, United Kingdom 1 month ago
Glasgow, Scotland, United Kingdom 1 month ago
Maths Tutor – Work from Anywhere with a Flexible Schedule
Glasgow, Scotland, United Kingdom 2 weeks ago
Glasgow, Scotland, United Kingdom 4 months ago
Glasgow, Scotland, United Kingdom 2 weeks ago
Glasgow, Scotland, United Kingdom 4 months ago
Glasgow, Scotland, United Kingdom 11 months ago
Glasgow, Scotland, United Kingdom 3 weeks ago
Glasgow, Scotland, United Kingdom 1 year ago
Glasgow, Scotland, United Kingdom 1 year ago
Part-Time Maths French – Flexible & Remote Opportunity (UK-wide)
Glasgow, Scotland, United Kingdom 3 weeks ago
University of Edinburgh MATLAB Student Ambassador
Glasgow, Scotland, United Kingdom 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
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 knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with online communities or forums focused on AI and mathematics. Networking with professionals in these spaces can provide insights into the industry and may even lead to referrals for job openings.
✨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 undertaken in mathematics or AI. Having concrete examples of your work can greatly enhance your candidacy and give us a clearer picture of your capabilities.
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. 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 problems, as this is crucial for the role.
Proofread Your Documents: Before submitting your application, carefully proofread your CV and cover letter for any errors. A detail-oriented approach will demonstrate your commitment to quality, which is essential 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 you're primarily a mathematician, having a basic understanding of AI and machine learning concepts can set you apart. Brush up on 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 how success is measured in this role. This shows your genuine interest and helps you assess if the position is the right fit for you.
