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- Tasks: Train AI models by evaluating their logic and solving complex math problems.
- Company: Join a dynamic 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 interest you.
- Qualifications: Fluency in English and strong skills in statistics and mathematics are essential.
- Other info: Payment is via PayPal; no fees or upfront costs required.
We are looking for a quantitative analyst 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 statistical/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 USD $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 data analysis, statistics, arithmetic, algebra, geometry, calculus, probability, and inductive/ deductive reasoning
A completed or in-progress 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.
Job Types: Full-time, Part-time
Pay: From £31.55 per hour
Expected hours: 1 – 40 per week
Work Location: Remote
Quantitative Analyst - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - AI Trainer
✨Tip Number 1
Familiarize yourself with the latest AI models and their evaluation metrics. Understanding how to measure the performance of AI chatbots will give you an edge in the interview process.
✨Tip Number 2
Brush up on your statistical and mathematical reasoning skills. Since this role requires a strong foundation in these areas, being able to demonstrate your expertise during discussions will be crucial.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've applied data analysis or problem-solving skills. Real-world examples can showcase your ability to evaluate and improve AI models effectively.
✨Tip Number 4
Network with professionals in the AI and quantitative analysis fields. Engaging with others can provide insights into the industry and may even lead to referrals for the position.
We think you need these skills to ace Quantitative Analyst - AI Trainer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize any experience you have in quantitative analysis, AI training, or related fields. Use specific examples to demonstrate your expertise in statistical and mathematical reasoning.
Showcase Your Skills: Clearly outline your proficiency in data analysis, statistics, and various mathematical disciplines such as algebra and calculus. Mention any relevant software or tools you are familiar with that can aid in AI model evaluation.
Tailor Your CV: Customize your CV to align with the job description. Highlight your educational background, especially if you have a Masters or PhD, and include any projects or research that relate to AI or quantitative analysis.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in the position and how your skills and experiences make you a great fit. Be sure to convey your enthusiasm for working with AI models and your ability to solve complex problems.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Statistical Skills
Be prepared to discuss your experience with statistical and mathematical reasoning. Highlight any relevant coursework or projects, especially those related to data analysis, statistics, or AI training.
✨Demonstrate Problem-Solving Abilities
Expect to solve complex mathematical problems during the interview. Practice explaining your thought process clearly, as this will showcase your analytical skills and ability to evaluate AI outputs effectively.
✨Familiarize Yourself with AI Models
Research common AI models and their evaluation metrics. Being able to discuss how you would measure the progress of AI chatbots and improve their quality will demonstrate your proactive approach and understanding of the role.
✨Prepare Questions About the Role
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 position and helps you assess if it's the right fit for you.
