Applied Quantitative Analyst
DataAnnotation · Tennessee, United States
- Hybrid
- Full-time
- $40,000 / year
- Tennessee, United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Train AI models using advanced math.
- Evaluate AI chatbot logic and output.
- Work remotely on your schedule.
- Earn $40+ per hour plus bonuses.
- Choose your own projects.
About the role
Applied Quantitative Analyst - AI Model Training
DataAnnotation is seeking an Applied Quantitative Analyst to join our team. In this role, you will be instrumental in training AI models by measuring their progress, evaluating their logic, and solving complex problems to enhance model quality.
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
- Expert level of mathematical reasoning.
- 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 Master's and/or PhD is preferred but not required.
- Backgrounds in Applied Mathematics and/or Computer Science are highly relevant.
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.
Notes
- Payment is made via PayPal.
- We will never ask for any money from you.
- PayPal will handle any currency conversions from USD.
- Only applicants in the United States will be considered for this role.
- This is an independent contract position.
Key skills/competency
- Applied Quantitative Analyst
- AI Model Training
- Mathematical Reasoning
- Problem Solving
- Data Evaluation
- Performance Analysis
- Statistics
- Calculus
- Algebra
- Probability
Skills & topics
- Quantitative Analyst
- AI Model Training
- Mathematics
- Data Evaluation
- Problem Solving
- Remote Work
- Independent Contractor
- Calculus
- Statistics
- Algebra
How to get hired
- Tailor your resume: Highlight your advanced mathematical and analytical skills, referencing specific areas like calculus, statistics, and inductive/deductive reasoning. Quantify achievements where possible.
- Emphasize remote work readiness: Showcase your self-discipline, detail-orientation, and ability to work independently, as this is a remote contract role.
- Showcase problem-solving: Detail your experience in evaluating complex problems and logical outputs, especially in mathematical contexts.
- Prepare for technical questions: Be ready to discuss your proficiency in various mathematical fields and how you would approach evaluating AI model performance.
- Understand the contract nature: Be aware this is an independent contractor position, paid via PayPal.
Technical preparation
Review calculus, algebra, and statistics concepts.,Practice solving complex math problems.,Understand AI model evaluation metrics.,Prepare to explain logical reasoning processes.
Behavioral questions
Describe a complex problem you solved.,How do you ensure accuracy in your work?,How do you approach evaluating logical outputs?,How do you manage your own schedule?
Frequently asked questions
- What is the work arrangement for the Applied Quantitative Analyst role at DataAnnotation?
- The Applied Quantitative Analyst position at DataAnnotation is a remote (REMOTE) independent contractor role. This means you can work from anywhere within the United States and set your own schedule.
- How much can I earn as an Applied Quantitative Analyst at DataAnnotation?
- As an Applied Quantitative Analyst with DataAnnotation, you can expect to earn $40+ USD per hour. There are also opportunities for bonuses based on high-quality and high-volume work.
- What are the key qualifications for the Applied Quantitative Analyst position at DataAnnotation?
- To excel as an Applied Quantitative Analyst at DataAnnotation, you need expert-level mathematical reasoning, proficiency in various math fields (arithmetic, algebra, calculus, statistics, etc.), strong English fluency, and a detail-oriented approach. A Master's or PhD is preferred but not strictly required.
- Can I choose my projects as an Applied Quantitative Analyst at DataAnnotation?
- Yes, a significant benefit of the Applied Quantitative Analyst role at DataAnnotation is the ability to choose which projects you want to work on, offering flexibility and alignment with your interests.
- What is the application process for the Applied Quantitative Analyst job at DataAnnotation?
- While the specific application steps aren't detailed, for the Applied Quantitative Analyst role at DataAnnotation, focus on a resume that highlights your quantitative skills and experience. Ensure you meet the criteria for mathematical reasoning and English fluency. As this is a contract role, be prepared to discuss your independent work capabilities.
- Is the Applied Quantitative Analyst role at DataAnnotation a full-time or part-time position?
- The Applied Quantitative Analyst role at DataAnnotation offers flexibility, accommodating both full-time and part-time work arrangements, allowing you to balance your schedule as needed.
- What kind of math skills are most important for the Applied Quantitative Analyst role at DataAnnotation?
- The Applied Quantitative Analyst role at DataAnnotation requires expert-level mathematical reasoning. Key areas include arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning. Proficiency in these subjects is crucial for evaluating AI model performance.