Mathematics Teacher
DataAnnotation
Job Overview
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Job Description
Mathematics Teacher at DataAnnotation
DataAnnotation is seeking a dedicated Mathematics Teacher to join our team, focusing on training and refining AI models. In this pivotal role, you will be instrumental in evaluating the progress and logical reasoning of AI chatbots, actively solving problems to enhance the overall quality and performance of each model.
Key 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
We are looking for candidates who possess an expert level of mathematical reasoning. While a background in Applied Mathematics and/or Computer Science is related, it is not exhaustive of relevant fields. Specific qualifications include:
- Fluency in English (native or bilingual level).
- Detail-oriented approach to tasks.
- Proficiency in core mathematical areas: 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.
Work Arrangement & Benefits
This is a flexible, independent contract position offering significant autonomy:
- Full-time or part-time remote work options.
- Ability to choose projects based on your preferences.
- Work on your own schedule.
- Projects are paid hourly starting at $40+ USD per hour, with additional bonuses for high-quality and high-volume work.
Important Notes
Payment is processed via PayPal, handling any currency conversions from USD. DataAnnotation will never request money from applicants. Please note that only applicants residing in Australia will be considered for this specific role.
Key skills/competency
- Mathematical Reasoning
- AI Model Evaluation
- Problem Solving
- AI Training
- Applied Mathematics
- Computer Science
- Calculus
- Statistics
- Algebra
- Logic
How to Get Hired at DataAnnotation
- Research DataAnnotation's mission: Understand their focus on AI quality and data annotation to align your application.
- Highlight mathematical expertise: Customize your resume to showcase proficiency in arithmetic, algebra, geometry, calculus, probability, and statistics.
- Emphasize AI evaluation skills: Detail any experience evaluating systems or data, demonstrating your detail-oriented approach to AI model outputs.
- Showcase problem-solving aptitude: Prepare to discuss instances where you've applied complex mathematical reasoning to solve problems.
- Tailor for remote, flexible work: During interviews, express your ability to manage independent contract work and adhere to self-directed schedules.
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