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- 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.
The predicted salary is between 28000 - 48000 £ per year.
Job Description
We are looking for a mathematician 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.
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+ 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 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.
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 data analysis. Being able to articulate your thought process will showcase your expertise and problem-solving skills.
✨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 serve as a great talking point during interviews and set you apart from other candidates.
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, express your passion for mathematics and AI. Mention why you are interested in this role and how your background aligns with the responsibilities outlined in the job description.
Showcase Relevant Skills: Clearly list your proficiency in areas such as arithmetic, algebra, calculus, and statistics. 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. Check for any grammatical errors or typos, as attention to detail 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.
✨Prepare for Problem-Solving Scenarios
Expect to be presented with mathematical problems during the interview. Practice solving various types of problems, particularly in arithmetic, algebra, and statistics. This will help you showcase your reasoning skills and ability to evaluate AI outputs effectively.
✨Familiarise Yourself with AI Concepts
Since the role involves training AI models, having a basic understanding of AI principles and how they relate to mathematics will be beneficial. Brush up on relevant terminology and concepts to engage in informed discussions during the interview.
✨Demonstrate Attention to Detail
As the job requires evaluating the quality of AI outputs, emphasise your detail-oriented nature. Provide examples from past experiences where your attention to detail made a significant impact, whether in academic work or previous roles.
