Mathematics AI Training Specialist

Rise Data Labs; Ireland; Remote; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Remote-first

Job summary

Rise Data Labs is seeking a Mathematics AI Training Specialist to help train and enhance AI models through precise data annotation and mathematical validation. You will leverage your maths expertise to ensure AI outputs are accurate and reliable across diverse applications.

The role emphasizes independent work on multiple projects within a remote-first team, with opportunities to contribute to cutting-edge AI initiatives and quality assurance processes.

Qualifications

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

Responsibilities

• Train and annotate data to improve AI models.
• Review AI-generated content for mathematical accuracy and relevance.
• Provide domain expertise in mathematics to enhance model performance.
• Collaborate on diverse AI training projects across fields.
• Maintain high-quality data for ML applications and QA standards.

Skills

Mathematics

Data annotation

AI training

Attention to detail

Independent work

Project management

Education

Bachelor's degree in Mathematics/Statistics/Data Science

Tools

ML frameworks

Python

R

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.