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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 £29.72 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.
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.
Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed.
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 £29.72 per hour
Expected hours: 1 – 40 per week
Location:
* Newcastle (County Down, Northern Ireland, Northern Ireland) (required)
Work Location: Remote
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
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 even referrals for the position at StudySmarter.
✨Tip Number 3
Prepare to discuss specific mathematical problems you've solved in the past and how you approached them. Being able to articulate your thought process will demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Stay updated on the tools and software commonly used in AI training. Familiarity with programming languages like Python or R, as well as libraries related to AI, can give you an edge in the selection process.
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 and qualifications mentioned in the job description. Use keywords from the listing to demonstrate that you are a perfect fit for the role.
Proofread Your Documents: Before submitting your application, carefully proofread your CV and cover letter for any spelling or 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 advanced mathematical knowledge in detail. Highlight specific areas of expertise, such as calculus or statistics, and be ready to solve problems on the spot to demonstrate your skills.
✨Familiarise Yourself with AI Concepts
Understand the basics of AI and machine learning, especially how they relate to mathematics. Being able to discuss how mathematical principles apply to AI training will show your potential employer that you are well-prepared for the role.
✨Prepare Examples of Problem-Solving
Think of examples from your past experiences where you successfully solved complex mathematical problems. Be ready to explain your thought process and the methods you used, as this will illustrate your analytical skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI projects and their evaluation processes. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
