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 cutting-edge team focused on advancing AI technology.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at $40+ per hour.
- Why this job: Be part of an innovative culture that values your expertise and creativity in mathematics.
- Qualifications: Expertise in maths; a Masters/PhD is preferred but not mandatory.
- Other info: Payment via PayPal; no fees or upfront costs required.
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 …
#J-18808-Ljbffr
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
Familiarise yourself with the latest advancements in AI and machine learning, especially in relation to mathematical applications. 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 AI and mathematics. 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 logic evaluation. Being able to articulate your thought process will showcase your expertise.
✨Tip Number 4
Consider creating a portfolio of projects or research that highlights your mathematical skills and any relevant experience with AI models. This can set you apart from other candidates and give you an edge in the selection process.
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 in AI or computer science. Emphasise your advanced degree or ongoing studies, as well as any specific projects that showcase your skills.
Craft a Strong Cover Letter: Write a cover letter that explains why you are interested in the Research Analyst position. Discuss your passion for mathematics and AI, and how your background makes you a suitable candidate for evaluating AI models.
Showcase Relevant Skills: In your application, clearly outline your proficiency in arithmetic, algebra, geometry, calculus, probability, and statistics. Provide examples of how you've applied these skills in previous roles or projects.
Proofread Your Application: Before submitting, carefully proofread your application materials to ensure there are no errors. A well-written application reflects attention to detail, which is crucial for this role.
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 applied mathematics or computer science. 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 the company uses and understand their evaluation metrics. Being able to discuss how you would assess the performance and logic of these models will show your proactive approach and genuine interest in the position.
✨Prepare for Problem-Solving Scenarios
Expect to tackle some mathematical problems during the interview. Practise solving diverse and complex problems that you might give to AI chatbots. This will not only showcase your skills but also your thought process in evaluating outputs.
✨Demonstrate Attention to Detail
Since the role requires a detail-oriented mindset, be ready to provide examples from your past experiences where your attention to detail made a significant impact. This could be in academic projects, previous jobs, or even personal endeavours.
