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- Tasks: Train AI models by solving complex math problems and evaluating their outputs.
- Company: Join a cutting-edge team focused on enhancing AI capabilities in mathematics.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £29.06 per hour.
- Why this job: Make an impact in AI while working on projects that excite you in a supportive culture.
- Qualifications: Expertise in mathematics is essential; a Masters/PhD is preferred but not mandatory.
- Other info: Payment is via PayPal, and we never ask for money from applicants.
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 £29.06 per hour Expected hours: 1 – 40 per week Work Location: Remote
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Trainer - Mathematics
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially those related to mathematics. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with online communities or forums focused on AI and mathematics. Networking with professionals in these spaces can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific mathematical problems you've solved in the past and how you approached them. This will showcase your problem-solving skills and your ability to evaluate AI outputs effectively.
✨Tip Number 4
Stay updated on the tools and software commonly used in AI training. Being knowledgeable about these can give you an edge and show that you're ready to hit the ground running.
We think you need these skills to ace AI Trainer - Mathematics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your mathematical expertise and any relevant experience in AI or related fields. Emphasise your qualifications, especially if you have a Masters or PhD, and include specific examples of your work with mathematics.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for mathematics and AI. Explain why you're interested in the role and how your skills align with the responsibilities outlined in the job description. Be sure to mention your detail-oriented nature and problem-solving abilities.
Showcase Relevant Projects: If you have worked on any projects related to AI or mathematics, be sure to include them in your application. Describe your role, the challenges you faced, and the outcomes. This will demonstrate your practical experience and ability to evaluate AI models.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your 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, projects, or research that demonstrates your proficiency in areas like algebra, calculus, and statistics.
✨Demonstrate Problem-Solving Skills
During the interview, expect to solve complex mathematical problems on the spot. Practice explaining your thought process clearly, as this will showcase your logical reasoning and problem-solving abilities.
✨Familiarise Yourself with AI Concepts
Brush up on basic AI principles and how they relate to mathematics. Understanding how AI models work and the role of mathematics in their training will help you stand out as a candidate.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the projects you'll be working on and the team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
