At a Glance
- Tasks: Train AI models and evaluate their logic through complex mathematics problems.
- Company: Join a forward-thinking team focused on advancing AI technology.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at $40+ per hour.
- Why this job: Make an impact in AI development while working on projects that excite you.
- Qualifications: Expertise in mathematics; a Masters/PhD is preferred but not mandatory.
- Other info: Payment is via PayPal; no fees will be charged to you.
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.
Data Scientist employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly in relation to mathematical modelling. This will not only enhance your understanding but also demonstrate your passion for the field during any discussions.
✨Tip Number 2
Engage with online communities or forums related to data science and AI. Networking with professionals in these spaces can provide insights into the role and may even lead to referrals or recommendations.
✨Tip Number 3
Prepare to discuss specific mathematical problems you've solved in the past, especially those relevant to AI. Being able to articulate your thought process and problem-solving skills will set you apart from other candidates.
✨Tip Number 4
Stay updated on the tools and software commonly used in data science, such as Python, R, or TensorFlow. Highlighting your proficiency in these tools can significantly boost your chances of landing the job.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your mathematical expertise and any relevant experience in AI or data science. Include specific projects or coursework that demonstrate your skills in arithmetic, algebra, geometry, calculus, and statistics.
Craft a Strong Cover Letter: In your cover letter, express your passion for mathematics and AI. Discuss how your background aligns with the responsibilities of the role, particularly your experience in evaluating AI outputs and solving complex problems.
Showcase Relevant Projects: If you have worked on any projects related to AI or data science, be sure to mention them in your application. Highlight your role, the challenges faced, and the outcomes achieved to demonstrate your problem-solving abilities.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for grammatical errors and ensure that all information is clear and concise. A polished 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 relevant coursework or projects, 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 Technical Questions
Expect questions that assess your understanding of various mathematical concepts such as calculus, statistics, and probability. Brush up on these topics and be ready to solve problems on the spot to showcase your reasoning skills.
✨Demonstrate Problem-Solving Skills
During the interview, you may be presented with a scenario involving AI models. Practice articulating your thought process clearly as you work through potential solutions. This will highlight your analytical thinking and ability to improve model performance.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI projects and their evaluation processes. This shows your genuine interest in the role and helps you understand how you can contribute effectively to their team.