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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 AI innovation.
- Benefits: Flexible remote work, choose your projects, and earn $40+ per hour.
- Other info: Enjoy bonuses for high-quality work and excellent career growth.
- Why this job: Make a real impact in AI while working on your own schedule.
- Qualifications: Advanced maths skills; Masters/PhD preferred but not required.
The predicted salary is between 28000 - 42000 £ per year.
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
Research Analyst employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your mathematical prowess and any relevant projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and mathematics. Practice explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly helps us keep track of your application better.
We think you need these skills to ace Research Analyst
Some tips for your application 🫡
Show Off Your Maths Skills: Make sure to highlight your mathematical expertise in your application. Whether it's your advanced degree or relevant experience, we want to see how you can tackle complex problems and evaluate AI outputs.
Tailor Your Application: Don’t just send a generic application! Take the time to customise your CV and cover letter to reflect the specific skills and experiences that match the Research Analyst role. We love seeing candidates who put in the effort!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate candidates who can communicate their ideas effectively, especially in a remote setting.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at DataAnnotation
✨Know Your Maths Inside Out
As a Research Analyst, you'll need to showcase your mathematical prowess. Brush up on key concepts in arithmetic, algebra, geometry, calculus, and statistics. Be ready to discuss how you've applied these skills in real-world scenarios or projects.
✨Familiarise Yourself with AI Models
Since the role involves training AI models, it’s crucial to understand how they work. Do some research on common AI algorithms and their applications in mathematics. This will help you answer questions about evaluating AI outputs effectively.
✨Prepare for Problem-Solving Questions
Expect to tackle complex maths problems during the interview. Practice solving diverse problems and explaining your thought process clearly. This will demonstrate your analytical skills and ability to communicate effectively.
✨Showcase Your Attention to Detail
Being detail-oriented is key in this role. Prepare examples from your past experiences where your attention to detail made a significant impact. Highlight how you ensure accuracy in your work, especially when evaluating AI outputs.