Mathematics AI Trainer - Bilingual Spanish Specialist

Rise Data Labs; New York (NY); Remote; USD 34,000 - 83,000; Full time

Benefits offered by this job

Competitive hourly rate

Flexible working hours

Remote-first environment

Job summary

Rise Data Labs seeks a Mathematics AI Trainer fluent in Spanish (Latin America) to join our data annotation team. You will annotate data, train AI models, and validate outputs to ensure accuracy across projects in economics, finance, psychology, and more.

Ideal candidates combine strong math background with careful attention to detail and the ability to work independently in a remote-first environment. English fluency is required to collaborate with global teams.

Qualifications

• Fluency in Spanish (Latin America) and English.
• Strong background in mathematics: calculus, algebra and statistics.
• Experience in data annotation or related fields.
• Excellent attention to detail and critical thinking.
• Ability to work independently as well as part of a team.

Responsibilities

• Train and improve AI models by annotating and labeling data accurately.
• Review and validate AI-generated content to ensure correctness and relevance.
• Provide domain expertise in mathematics to enhance AI model performance.
• Work collaboratively on diverse AI training projects across multiple fields.
• Ensure the delivery of high-quality data for machine learning applications.

Skills

Spanish LATAM

English

Mathematics

Data annotation

Attention to detail

Teamwork

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

We are seeking a detail-oriented and knowledgeable Mathematics AI Trainer fluent in Spanish (Latin America) to join our dynamic team at Rise Data Labs. In this role, you will be instrumental in training and enhancing AI models through precise data annotation and evaluation. Your expertise in mathematics will help ensure the accuracy and effectiveness of our AI-generated content across various projects.

Key Responsibilities

• Train and improve AI models by annotating and labeling data accurately.
• Review and validate AI-generated content to ensure its correctness and relevance.
• Provide domain expertise in mathematics to enhance AI model performance.
• Work collaboratively on diverse AI training projects across multiple fields.
• Ensure the delivery of high-quality data for machine learning applications.

Required Skills and Qualifications

• Fluency in Spanish (Latin America) and English.
• Strong background in mathematics, including calculus, algebra, and statistics.
• Experience in data annotation or related fields.
• Excellent attention to detail and critical thinking skills.
• Ability to work independently as well as part of a team.

Preferred Qualifications

• Experience with AI training or machine learning concepts.
• Familiarity with data annotation tools and software.
• Strong communication skills, both verbal and written.

What We Offer

At Rise Data Labs, we value our team members and offer a competitive hourly rate, flexible working hours, and a collaborative work environment that fosters professional growth.