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- Tasks: Train AI models by solving complex math problems and evaluating chatbot outputs.
- Company: Join a cutting-edge team focused on enhancing AI through advanced mathematics.
- 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: Advanced math skills required; Masters/PhD preferred but not mandatory.
- Other info: Payment via PayPal; no fees will ever be requested from you.
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.
Is this your next job Read the full description below to find out, and do not hesitate to make an application.
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+ 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 Masters and/or PhD is preferred but not required
Note: Payment is made via PayPal. We will never ask for any money from you.
#INDUKMA
Job Types: Full-time, Part-time
Pay: From £30.29 per hour
Expected hours: 1 – 40 per week
Location:
* Glasgow (required)
Work Location: Remote
AI Trainer - Mathematics employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Trainer - Mathematics
✨Tip Number 1
Make sure to showcase your mathematical expertise during the interview. Prepare to discuss specific areas of mathematics you excel in, such as calculus or statistics, and how they relate to AI training.
✨Tip Number 2
Familiarize yourself with common AI models and their evaluation metrics. Being able to discuss how you would assess the performance of these models will demonstrate your understanding of the role.
✨Tip Number 3
Network with professionals in the AI and mathematics fields. Engaging with communities on platforms like LinkedIn can help you gain insights and potentially get referrals for the position.
✨Tip Number 4
Prepare examples of complex mathematical problems you've solved in the past. This will not only highlight your problem-solving skills but also show your ability to evaluate and improve AI outputs.
We think you need these skills to ace AI Trainer - Mathematics
Some tips for your application 🫡
Highlight Your Qualifications: Make sure to emphasize your advanced degree in mathematics or related fields. If you are currently pursuing a Masters or PhD, mention your research focus and any relevant coursework.
Showcase Relevant Skills: Detail your proficiency in arithmetic, algebra, geometry, calculus, probability, and statistics. Provide examples of how you've applied these skills in previous roles or projects.
Demonstrate Detail Orientation: Since the role requires a detail-oriented approach, include specific instances where your attention to detail has led to successful outcomes in your work or studies.
Tailor Your Application: Customize your CV and cover letter to reflect the responsibilities and qualifications listed in the job description. Use keywords from the posting to ensure your application stands out.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Mathematical Expertise
Be prepared to discuss your advanced knowledge in mathematics. Highlight specific areas such as calculus, statistics, and algebra that you excel in, and be ready to provide examples of how you've applied these skills in real-world scenarios.
✨Demonstrate Problem-Solving Skills
Since the role involves evaluating AI outputs and solving complex problems, think of examples where you've successfully tackled challenging mathematical problems. Discuss your thought process and how you arrived at solutions.
✨Familiarize Yourself with AI Concepts
Even if your background is primarily in mathematics, having a basic understanding of AI and machine learning concepts can set you apart. Research how AI models are trained and evaluated, and be ready to discuss how your mathematical skills can contribute to this process.
✨Prepare for Behavioral Questions
Expect questions about your attention to detail and ability to work independently. Prepare examples that demonstrate your meticulous nature and how you manage your time effectively, especially in a remote work environment.
