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- Tasks: Train AI models by solving complex maths problems and evaluating their logic.
- 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: PhD in progress or completed, with strong maths skills.
- Other info: Independent contract role with equal opportunities for all applicants.
The predicted salary is between 30000 - 50000 £ per year.
We are looking for a Postdoctoral Math Associate 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. Other related fields include, but are not limited to: Applied Mathematics and/or Computer Science.
Benefits
- This is a full-time or part-time REMOTE position
- You will 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+ USD 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 PhD is required
Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Canada will be considered for this role. This is an independent contract position. We are an equal opportunities employer and welcome applications from all qualified candidates.
Postdoctoral Math Associate in London employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Math Associate in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the maths and AI fields. Let them know you're on the lookout for opportunities, and who knows? They might just have a lead or two for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your mathematical prowess and any relevant projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨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 love seeing applications directly from candidates who are eager to join our team. Plus, it makes the process smoother for everyone involved.
We think you need these skills to ace Postdoctoral Math Associate in London
Some tips for your application 🫡
Show Off Your Math Skills: Make sure to highlight your expertise in mathematics and any relevant experience you have. We want to see how your skills can help us train our AI models, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Postdoctoral Math Associate role. Mention specific projects or experiences that relate to evaluating AI outputs and solving complex problems.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your qualifications and experiences shine through without unnecessary fluff.
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 this exciting opportunity!
How to prepare for a job interview at DataAnnotation
✨Brush Up on Your Maths Skills
Make sure you're well-versed in the key areas of mathematics mentioned in the job description. Review concepts in arithmetic, algebra, geometry, calculus, and statistics. Being able to discuss these topics confidently will show your expertise and readiness for the role.
✨Prepare for Problem-Solving Scenarios
Expect to tackle complex mathematical problems during the interview. Practice solving diverse problems and be ready to explain your thought process. This will demonstrate your logical reasoning skills and how you approach challenges, which is crucial for evaluating AI outputs.
✨Familiarise Yourself with AI Models
Since the role involves training AI models, it’s beneficial to understand how they work. Research common algorithms and evaluation metrics used in AI. This knowledge will help you engage in meaningful discussions about improving model performance during the interview.
✨Showcase Your Detail-Oriented Nature
Being detail-oriented is a must for this position. Prepare examples from your past experiences where your attention to detail made a significant impact. Whether it's in research or previous roles, sharing these stories will highlight your suitability for the job.
