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 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.
Job Description
Job Description
Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
We are looking for an expert Mathematician (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Math team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development.
Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging math problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.
To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.
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 Master's 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. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
#math
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.
