Mathematics AI Training Specialist

Rise Data Labs; United States; Remote; USD 42,000 - 66,000; Full time

Job summary

Rise Data Labs is a leading AI training and data annotation company that collaborates with top AI firms and research institutions to deliver precise training data. The Mathematics AI Training Specialist role focuses on annotating and validating data with strong mathematical rigor to improve AI model performance across varied domains.

The position emphasizes independent work, attention to detail, and the ability to contribute across multiple projects.

Qualifications

• Bachelor's degree in Mathematics or related field.
• Proven data annotation and AI training experience.
• Strong mathematical understanding and application in AI.
• Excellent attention to detail and analytical thinking.
• Ability to work independently and manage multiple projects.

Responsibilities

• Train and improve AI models through meticulous data annotation and labeling.
• Review and validate AI-generated content for mathematical accuracy.
• Provide domain expertise in mathematics to enhance AI model performance.
• Collaborate on diverse AI training projects across multiple fields.
• Maintain high-quality data for ML applications with rigorous QA standards.

Skills

Mathematics proficiency

Data annotation

Attention to detail

Analytical skills

Independent work

Education

Bachelor's degree in Mathematics

Tools

Python

R

ML frameworks

Job description

About Rise Data Labs

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.

Job Overview

As a Mathematics AI Training Specialist at Rise Data Labs, you will play a pivotal role in training and enhancing artificial intelligence models. Your expertise in mathematics will be essential in providing accurate data annotation and validation, ensuring our AI systems perform at their best across various applications.

Key Responsibilities

• Train and improve AI models through meticulous data annotation and labeling.
• Review and validate AI-generated content for mathematical accuracy and relevance.
• Provide domain expertise in mathematics to enhance AI model performance.
• Collaborate on diverse AI training projects across multiple fields.
• Ensure high-quality data for machine learning applications, maintaining rigorous quality assurance standards.

Required Skills And Qualifications

• Bachelor's degree in Mathematics, Statistics, Data Science, or a related field.
• Proven experience in data annotation and AI training.
• Strong understanding of mathematical concepts and applications in AI.
• Exceptional attention to detail and analytical skills.
• Ability to work independently and manage multiple projects simultaneously.

Preferred Qualifications

• Experience with machine learning frameworks and tools.
• Familiarity with programming languages such as Python or R.
• Previous involvement in AI model development and testing.

What We Offer

At Rise Data Labs, we offer a dynamic work environment where innovation thrives. You will have the opportunity to work on cutting-edge AI projects, collaborate with industry experts, and contribute to meaningful advancements in technology.