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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.
- Why this job: Make a real impact in AI while working on your own schedule.
- Qualifications: Expertise in mathematics; Masters/PhD preferred but not required.
- Other info: Enjoy bonuses for high-quality work and excellent career growth.
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 …
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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, join relevant groups on social media, and attend virtual meetups. 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 projects you've worked on. This is your chance to demonstrate your expertise beyond just a CV.
✨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 make it easy for you to find roles that match your skills and interests. Plus, it’s a great way to stay updated on new opportunities tailored just for you.
We think you need these skills to ace Research Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your mathematical expertise and any relevant experience. We want to see how your skills align with the role of a Research Analyst, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and mathematics. We love seeing candidates who can express their enthusiasm and fit for the role, so let your personality come through.
Showcase Relevant Projects: If you've worked on any projects related to AI or mathematics, make sure to mention them in your application. We’re keen to see how you’ve applied your skills in real-world scenarios, so don’t be shy about sharing your experiences!
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 position. Plus, it’s super easy – just follow the prompts and you’ll be set!
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 and improving model performance.
✨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 evaluate AI chatbot outputs effectively.
✨Showcase Your Detail Orientation
Attention to detail is key in this role. Prepare examples from your past experiences where your meticulous nature led to successful outcomes. Highlight how being detail-oriented has helped you in evaluating the quality of work, especially in mathematical contexts.
