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For Companies At a Glance
- Tasks: Evaluate AI chatbots' logic and solve complex maths problems.
- Company: Join a forward-thinking team focused on AI development.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at $40+ per hour.
- Why this job: Make an impact in AI while working on projects that excite you.
- Qualifications: Expertise in maths; Masters/PhD preferred but not mandatory.
- Other info: Payment via PayPal; no fees or upfront costs.
The predicted salary is between 28000 - 48000 ÂŁ 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
Familiarise yourself with the latest advancements in AI and machine learning, particularly in how they relate to mathematical reasoning. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of AI and mathematics. Join relevant online forums or attend webinars to connect with others who may have insights into the role or even know about job openings at StudySmarter.
✨Tip Number 3
Prepare to discuss specific mathematical concepts and their applications in AI during your interview. Being able to articulate how your skills can directly contribute to improving AI models will set you apart from other candidates.
✨Tip Number 4
Showcase any relevant projects or research you've done in your field, especially those that involve problem-solving or evaluating outputs. This practical experience can demonstrate your capability and enthusiasm for the role at StudySmarter.
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. Use specific examples of projects or research that demonstrate your skills.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Research Analyst position and how your background aligns with the responsibilities outlined in the job description. Mention your problem-solving abilities and detail-oriented nature.
Showcase Relevant Skills: Emphasise your proficiency in various mathematical disciplines such as calculus, statistics, and logic. Provide examples of how you've applied these skills in previous roles or academic projects.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your 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 AI or data analysis. 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 used in the industry, particularly those that involve chatbots. Understanding their logic and common issues can help you articulate how you would evaluate and improve them during the interview.
✨Prepare for Problem-Solving Questions
Expect to tackle some mathematical problems during the interview. Practice solving diverse and complex problems that may be similar to what you would encounter in the role. This will showcase your analytical skills and reasoning abilities.
✨Demonstrate Attention to Detail
Since the role requires a detail-oriented approach, be ready to provide examples from your past experiences where your attention to detail made a significant impact. This could be in academic projects or previous jobs where precision was crucial.
