Graduate Research Intern, Mathematics
DataAnnotation · Indiana, United States
- Hybrid
- Internship
- $40,000 / year
- Indiana, United States
Job highlights
- Train AI models by evaluating chatbot logic.
- Solve complex mathematical problems for AI.
- Remote, flexible schedule, choose your projects.
- Earn $40+ per hour with bonuses.
- Requires strong mathematical reasoning skills.
About the role
Graduate Research Intern Mathematics
We are looking for a Graduate Research Intern, Mathematics 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 mathematical reasoning. Other related fields include, but are not limited to: Applied Mathematics 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 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
Key skills/competency
- Mathematics
- AI Model Training
- Problem Solving
- Research
- Data Analysis
- Logic Evaluation
- Reasoning Skills
- English Fluency
- Detail-Oriented
- Independent Contract
Skills & topics
- Mathematics
- AI Training
- Research Intern
- DataAnnotation
- Remote Work
- Mathematics Reasoning
- AI Evaluation
- Calculus
- Statistics
- Algebra
How to get hired
- Tailor your resume: Highlight your mathematical expertise, research experience, and any AI-related projects. Use keywords from the job description like 'mathematical reasoning,' 'AI models,' and 'problem-solving.'
- Showcase your skills: In your application or cover letter, provide specific examples of how you've applied advanced mathematical concepts or evaluated complex systems.
- Prepare for technical questions: Be ready to discuss your approach to solving mathematical problems and evaluating AI model outputs. Practice articulating your thought process clearly.
- Understand the role: Emphasize your detail-oriented nature and your ability to work independently on complex tasks.
- Highlight your availability: Clearly state your preference for full-time or part-time remote work and your schedule flexibility.
Technical preparation
Review calculus, probability, and statistics concepts.,Practice advanced algebra and geometry problems.,Study inductive and deductive reasoning techniques.,Familiarize yourself with AI model evaluation methods.
Behavioral questions
Describe a complex math problem you solved.,How do you ensure accuracy in your work?,How do you approach evaluating complex systems?,How do you manage your time independently?
Frequently asked questions
- What is the work arrangement for the Graduate Research Intern Mathematics role at DataAnnotation?
- The Graduate Research Intern Mathematics position at DataAnnotation is a remote, independent contract role. You can work full-time or part-time on your own schedule.
- What are the pay and benefits for the Graduate Research Intern Mathematics position at DataAnnotation?
- This role offers competitive hourly pay starting at $40+ USD per hour, with potential bonuses for high-quality and high-volume work. Payment is made via PayPal.
- What qualifications are essential for the Graduate Research Intern Mathematics role at DataAnnotation?
- Essential qualifications include fluency in English, a detail-oriented approach, and proficiency in various mathematical fields such as algebra, calculus, probability, and statistics. Expert-level mathematical reasoning is crucial.
- Does DataAnnotation require a Master's or PhD for the Graduate Research Intern Mathematics position?
- A current, in-progress, or completed Master's and/or PhD is preferred but not required for the Graduate Research Intern Mathematics role at DataAnnotation. Strong mathematical abilities are key.
- How does DataAnnotation ensure fair payment for the Graduate Research Intern Mathematics role?
- DataAnnotation makes payments via PayPal and emphasizes that they will never ask for money from applicants. PayPal handles any currency conversions from USD.
- Can international applicants apply for the Graduate Research Intern Mathematics role at DataAnnotation?
- No, only applicants currently residing in the United States will be considered for this Graduate Research Intern Mathematics position at DataAnnotation.
- What specific mathematical skills are needed for the Graduate Research Intern Mathematics role?
- You'll need proficiency in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning. An expert level of mathematical reasoning is expected.
- How does the remote work setup benefit the Graduate Research Intern Mathematics at DataAnnotation?
- The remote setup allows for flexibility in your schedule and the ability to choose projects that align with your interests and expertise, contributing to a better work-life balance.