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- Tasks: Train AI models by evaluating their logic and solving complex math problems.
- Company: Join a dynamic team focused on enhancing AI chatbot performance.
- 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: Expertise in statistics and mathematics; advanced degrees preferred but not required.
- Other info: Payment is via PayPal; no fees or upfront costs involved.
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 advancements in AI and machine learning, especially in the context of quantitative analysis. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your statistical and mathematical skills, particularly in areas like calculus and probability. Being able to demonstrate your expertise in these subjects can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analysis to solve complex problems in the past. Real-world applications of your skills can showcase your ability to contribute effectively to our team.
✨Tip Number 4
Since this is a remote position, make sure to highlight your experience with remote work and your ability to manage your time effectively. Employers value candidates who can work independently and stay organized.
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 Application: Customize your CV and cover letter to reflect the job description. Use keywords from the posting to ensure your application aligns with what the company is looking for in a candidate.
Proofread Your Documents: Before submitting your application, carefully proofread your CV and cover letter for any grammatical or typographical errors. A polished application reflects attention to detail, which is crucial for this role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Statistical Skills
Be prepared to discuss your experience with statistical analysis and mathematical reasoning. Highlight specific projects or coursework that demonstrate your expertise in these areas, as they are crucial for evaluating AI models.
✨Demonstrate Problem-Solving Abilities
Expect to face complex problems during the interview. Practice explaining your thought process clearly and logically, as this will showcase your ability to solve issues related to AI model evaluation.
✨Familiarize Yourself with AI Concepts
Brush up on your knowledge of AI and machine learning principles. Understanding how AI chatbots function and the common challenges they face will help you engage in meaningful discussions during the interview.
✨Prepare Questions About the Role
Think of insightful questions to ask about the position and the projects you'll be working on. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
