Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Train AI models by evaluating their logic and solving complex problems.
- Company: Join a forward-thinking team focused on enhancing AI technology.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £29.72 per hour.
- Why this job: Be part of an innovative project that shapes the future of AI while working on your terms.
- Qualifications: Fluency in English and proficiency in statistics; advanced degrees preferred but not mandatory.
- Other info: Payment via PayPal; available only to applicants in select countries.
We are looking for a *statistician* 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.
If you are considering sending an application, make sure to hit the apply button below after reading through the entire description.
In this role you will need to hold an expert level of statistical/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 statistics, arithmetic, algebra, geometry, calculus, probability, and inductive/ deductive reasoning
* A completed or in-progress 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. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
#INDUKMA
Job Types: Full-time, Part-time
Pay: From £29.72 per hour
Work Location: On the road
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest AI trends and technologies. Understanding how AI models work and the common challenges they face will help you stand out during discussions with our team.
✨Tip Number 2
Brush up on your statistical skills, especially in areas like probability and inductive reasoning. Being able to demonstrate your expertise in these subjects can give you an edge when evaluating AI outputs.
✨Tip Number 3
Prepare to discuss specific examples of complex mathematical problems you've solved in the past. This will showcase your problem-solving abilities and your experience in applying statistical methods.
✨Tip Number 4
Network with professionals in the AI and statistics fields. Engaging with others can provide insights into the role and may even lead to referrals or recommendations for your application.
We think you need these skills to ace Statistician - AI Trainer
Some tips for your application 🫡
Highlight Relevant Experience: When writing your application, make sure to emphasise any experience you have in statistics, mathematics, or related fields. Mention specific projects or roles where you've applied these skills, especially if they relate to AI or model training.
Showcase Your Education: If you have a completed or in-progress Masters or PhD, be sure to include this prominently in your CV. If your degree is in Applied Math, Computer Science, or a related field, mention relevant coursework or research that aligns with the job requirements.
Demonstrate Problem-Solving Skills: In your cover letter, provide examples of how you've solved complex problems in the past. This could involve evaluating data, improving processes, or working with AI models. Use specific metrics or outcomes to illustrate your impact.
Tailor Your Application: Make sure to tailor your CV and cover letter to the specific role of Statistician - AI Trainer. Use keywords from the job description, such as 'evaluating outputs' and 'mathematics problems', to show that you understand the position and its requirements.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Statistical Expertise
Be prepared to discuss your knowledge of statistics and mathematical reasoning. Highlight any relevant coursework or projects, especially if you have a Masters or PhD in a related field. This will demonstrate your capability to evaluate AI models effectively.
✨Prepare for Problem-Solving Scenarios
Expect to encounter questions that assess your problem-solving skills. Practice explaining how you would approach complex mathematics problems and evaluate AI outputs. This will show your analytical thinking and ability to improve model quality.
✨Demonstrate Attention to Detail
Since the role requires a detail-oriented mindset, be ready to provide examples of how you've ensured accuracy in your previous work. Discuss any experiences where your attention to detail made a significant impact on project outcomes.
✨Familiarise Yourself with AI Concepts
Brush up on basic AI concepts and how they relate to statistics. Understanding the logic behind AI models will help you articulate your thoughts during the interview and show your enthusiasm for the role.
