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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 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 while working on your own terms.
- Qualifications: Advanced maths skills required; a Masters or PhD is preferred but not mandatory.
- Other info: Payment via PayPal; no fees or upfront costs involved.
The predicted salary is between 28800 - 48000 £ per year.
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.
Considering making an application for this job Check all the details in this job description, and then click on Apply.
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 evaluation. Being able to articulate your thought process will showcase your expertise.
✨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 skills and any relevant experience in AI or computer science. Emphasise your advanced degree or coursework that relates to the role.
Craft a Strong Cover Letter: Write a cover letter that explains why you are interested in the position and how your background makes you a suitable candidate. Mention specific skills like your proficiency in statistics and problem-solving abilities.
Showcase Relevant Projects: If you have worked on projects involving AI, mathematics, or data analysis, include them in your application. Describe your role and the impact of your contributions to demonstrate your expertise.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a statistician.
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.
✨Familiarise Yourself with AI Models
Research the types of AI models commonly used in chatbot development. Understanding how these models work and their evaluation metrics will help you articulate your thoughts during the interview and show your genuine interest in the position.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills. Practice solving diverse mathematical problems on the spot, as this will reflect your ability to evaluate AI outputs effectively and improve model quality.
✨Demonstrate Attention to Detail
Since the role requires a detail-oriented approach, be ready to provide examples from your past experiences where your attention to detail made a significant impact. This could be in academic projects or previous jobs where precision was crucial.
