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- Tasks: Train AI models by solving complex maths 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 $40+ per hour.
- Why this job: Be part of an innovative project that shapes the future of AI and enhances your skills.
- Qualifications: Expertise in maths; a Masters/PhD is preferred but not mandatory.
- Other info: Payment via PayPal; no fees or upfront costs required.
The predicted salary is between 30000 - 50000 £ per year.
Job Description
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.
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+ 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 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.
Statistician employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially in relation to statistical models. 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 related to statistics and AI. Networking with professionals in these fields can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to discuss specific mathematical problems you've solved in the past, particularly those that relate to AI or data analysis. Being able to articulate your thought process will showcase your expertise and problem-solving skills.
✨Tip Number 4
Stay updated on the latest tools and software used in statistical analysis and AI training. Mentioning your proficiency with these tools during discussions can set you apart from other candidates.
We think you need these skills to ace Statistician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your mathematical expertise and any relevant experience in AI or computer science. Emphasise your advanced degree or ongoing studies, as well as specific projects that showcase your skills.
Craft a Strong Cover Letter: Write a cover letter that explains why you are passionate about working with AI models. Mention your problem-solving abilities and how your background in mathematics can contribute to the team's success.
Showcase Relevant Skills: In your application, clearly outline your proficiency in arithmetic, algebra, geometry, calculus, probability, and statistics. Provide examples of how you've applied these skills in previous roles or projects.
Proofread Your Application: Before submitting, carefully proofread your application for any errors. A well-written application reflects attention to detail, which is crucial for a statistician 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 courses or projects you've completed, especially those related to statistics, calculus, or AI. This will demonstrate your capability to handle the complex problems you'll encounter in the role.
✨Prepare for Problem-Solving Scenarios
Expect to be presented with real-world problems during the interview. Practice solving various mathematical problems and explaining your thought process clearly. This will showcase your analytical skills and how you approach challenges.
✨Familiarise Yourself with AI Concepts
Since the role involves training AI models, brush up on basic AI concepts and how they relate to mathematics. Understanding how AI chatbots function and the types of problems they face will help you engage more effectively during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and the specific challenges they face with their AI models. This shows your genuine interest in the role and helps you assess if the position aligns with your career goals.
