At a Glance
- Tasks: Train AI models by solving complex math problems and evaluating their outputs.
- Company: Join a forward-thinking team focused on enhancing AI technology.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £30.36 per hour.
- Why this job: Make an impact in AI while working on projects that excite you.
- Qualifications: Proficiency in mathematics; a Masters/PhD is preferred but not mandatory.
- Other info: Payment via PayPal; no fees required from you.
We are looking for a math expert 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.
Job Types: Full-time, Part-time
Pay: From £30.36 per hour
Expected hours: 1 – 40 per week
Work Location: Remote
Project Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project Trainer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially in relation 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
Showcase your problem-solving skills by preparing examples of complex mathematical problems you've tackled in the past. Be ready to discuss your thought process and how you approached these challenges.
✨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 might have insights or tips about the role.
✨Tip Number 4
Prepare to demonstrate your fluency in English, as communication is key in this role. Practise explaining complex mathematical concepts in simple terms, which will be beneficial during any discussions with our team.
We think you need these skills to ace Project Trainer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise any experience you have in mathematics, AI, or related fields. If you've worked on similar projects or have relevant qualifications, showcase them prominently in your CV and cover letter.
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Project Trainer role. Mention your proficiency in various mathematical disciplines and how they relate to evaluating AI models.
Showcase Problem-Solving Skills: In your application, provide examples of how you've approached complex problems in the past. This could include specific mathematical challenges or projects where you evaluated outputs for correctness.
Express Your Passion for AI: Convey your enthusiasm for working with AI and how you see your mathematical expertise contributing to the development of AI chatbots. A genuine interest can set you apart from other candidates.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Mathematical Expertise
Be prepared to discuss your mathematical background in detail. Highlight any relevant coursework or projects, especially those related to applied mathematics or computer science, as this will demonstrate your capability to train AI models effectively.
✨Prepare for Problem-Solving Scenarios
Expect to encounter complex mathematical problems during the interview. Practice solving various types of problems and be ready to explain your thought process clearly, as this will showcase your analytical skills and logical reasoning.
✨Demonstrate Attention to Detail
Since the role requires evaluating the outputs of AI models, emphasise your detail-oriented nature. Provide examples from past experiences where your attention to detail made a significant impact on the quality of your work.
✨Familiarise Yourself with AI Concepts
While the focus is on mathematics, having a basic understanding of AI concepts can set you apart. Research how AI models function and be ready to discuss how your mathematical skills can enhance their performance and correctness.