Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: As a Data Analyst, you'll train AI models and evaluate their performance with complex maths problems.
- Company: Join DataAnnotation, a forward-thinking company focused on enhancing AI through data analysis.
- Benefits: Enjoy remote work flexibility, choose your projects, and earn $40+ per hour with bonuses.
- Why this job: This role offers a chance to impact AI development while working on your own schedule.
- Qualifications: Fluency in English and strong maths skills are essential; advanced degrees preferred but not mandatory.
- Other info: Payment is via PayPal, and this job is available only in select countries.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a Data Analyst 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.
This is a full-time or part-time REMOTE position. You’ll be able to choose which projects you want to work on and 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 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.
Data Analyst employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the latest AI trends and technologies, especially those related to data analysis. Being knowledgeable about current advancements will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the data analysis and AI sectors. Attend relevant webinars, workshops, or local meetups to connect with others in the industry. This can lead to valuable referrals and insights into the job market.
✨Tip Number 3
Brush up on your mathematical reasoning skills, particularly in areas like statistics and probability. Consider working on sample problems or projects that demonstrate your analytical abilities, as this will prepare you for the tasks you'll face in the role.
✨Tip Number 4
Make sure to highlight any relevant experience with AI models or data evaluation in your discussions. If you've worked on similar projects, be ready to discuss your contributions and the outcomes, as this will set you apart from other candidates.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Highlight Relevant Qualifications: Make sure to emphasise your advanced degree or any relevant qualifications in Applied Math or Computer Science. If you have a Masters or PhD, mention it prominently in your CV and cover letter.
Showcase Technical Skills: Detail your proficiency in mathematical reasoning, including areas like arithmetic, algebra, geometry, calculus, probability, and statistics. Use specific examples from your past experiences to demonstrate these skills.
Tailor Your Application: Customise your CV and cover letter to reflect the responsibilities mentioned in the job description. Discuss how your experience aligns with evaluating AI models and solving complex problems.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents for any errors. A well-written application free of typos and grammatical mistakes will make a strong impression.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Mathematical Expertise
Be prepared to discuss your proficiency in various mathematical concepts such as calculus, statistics, and probability. Highlight any relevant coursework or projects that demonstrate your ability to solve complex problems.
✨Familiarise Yourself with AI Models
Research the types of AI models used in data analysis and be ready to discuss how you would evaluate their performance. Understanding the logic behind AI chatbots will give you an edge in the interview.
✨Prepare for Problem-Solving Scenarios
Expect to encounter problem-solving scenarios during the interview. Practice articulating your thought process when tackling mathematical problems, as this will showcase your analytical skills.
✨Demonstrate Attention to Detail
Since the role requires a detail-oriented approach, be sure to provide examples from your past experiences where your attention to detail made a significant impact. This could include projects where accuracy was crucial.
