At a Glance
- Tasks: Train AI models by solving complex math problems and evaluating their outputs.
- Company: Join a dynamic team focused on enhancing AI capabilities through mathematics.
- Benefits: Enjoy remote work, flexible scheduling, 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 is key; advanced degrees preferred but not mandatory.
- Other info: Payment is via PayPal; no fees or upfront costs required.
We are looking for a math expert 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.
Please ensure you read the below overview and requirements for this employment opportunity completely.
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 mathematics, 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. PayPal will handle any currency conversions from USD.
#INDUKMA
Job Types: Full-time, Part-time
Pay: From £29.98 per hour
Expected hours: 1 – 40 per week
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
Familiarize yourself with the latest advancements in AI and machine learning, especially those related to mathematics. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of complex mathematical problems you've solved in the past. Being able to discuss these experiences will demonstrate your expertise and analytical thinking.
✨Tip Number 3
Connect with current or former employees on LinkedIn to gain insights into the company culture and the specifics of the AI Trainer role. This can provide you with valuable information that you can use to tailor your approach.
✨Tip Number 4
Stay updated on the latest trends in mathematics education and AI training. Being knowledgeable about current methodologies and tools will position you as a strong candidate who is ready to contribute from day one.
We think you need these skills to ace AI Trainer - Mathematics
Some tips for your application 🫡
Highlight Your Expertise: Make sure to emphasize your mathematical expertise in your application. Include specific areas of mathematics you excel in, such as calculus or statistics, and any relevant degrees or certifications.
Showcase Relevant Experience: If you have experience working with AI models or in related fields like computer science, be sure to detail this in your CV. Mention any projects where you've evaluated outputs or solved complex problems.
Tailor Your Cover Letter: Write a personalized cover letter that connects your skills and experiences to the responsibilities of the AI Trainer position. Explain why you're passionate about improving AI models and how your background makes you a great fit.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors. A well-written 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 applied math or computer science, as this will demonstrate your capability to train AI models effectively.
✨Prepare for Problem-Solving Scenarios
Expect to solve complex mathematics problems during the interview. Practice explaining your thought process clearly and logically, as this will showcase your reasoning skills and ability to evaluate AI outputs.
✨Demonstrate Attention to Detail
Since the role requires evaluating the quality of AI outputs, emphasize your detail-oriented nature. Provide examples from past experiences where your attention to detail made a significant impact on a project or outcome.
✨Communicate Effectively in English
Fluency in English is crucial for this position. Practice articulating your thoughts clearly and concisely, as effective communication will be key when discussing complex mathematical concepts and collaborating with the team.