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Mathematics AI Trainer (Spanish Speaker - Latin America)

Rise Data Labs · 100% remote · Contract · Posted

Pay
$20–40/hr
Location
Latin America, Spain and Equatorial Guinea
Languages
Spanish, English
Hours
Flexible
Openings
Not listed
Level
Expert

Summary

Annotate training data and review AI-generated content for mathematical accuracy. Apply mathematics expertise to improve model performance and data quality.

What you'll do

  • Annotate and label training data
  • Review content for accuracy and relevance
  • Apply mathematics expertise to AI training
  • Collaborate with project teams
  • Maintain data quality standards

Requirements

  • Fluency in Latin American Spanish and English
  • Strong mathematics background; a related degree is preferred
  • Experience in data annotation, content validation, or AI training
  • Attention to detail and quality assurance
  • Proficiency with data annotation tools

Skills

  • Mathematics
  • Data Annotation
  • Content Validation
  • Quality Assurance
  • Data Annotation Tools
  • Machine Learning
  • Instructional Design

Full 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 Trainer fluent in Spanish, you will play a crucial role in enhancing the performance of our AI models. Your expertise in mathematics combined with your language skills will allow you to provide essential training and validation for AI-generated content. You will work on diverse projects, ensuring that our AI solutions meet high-quality standards.

Key Responsibilities

  • Train and improve AI models through meticulous data annotation and labeling.
  • Review and validate AI-generated content for accuracy and relevance.
  • Provide domain expertise in mathematics to enhance AI model performance.
  • Collaborate with cross-functional teams on various AI training projects across different fields.
  • Ensure high-quality data for machine learning applications, adhering to industry standards.

Required Skills and Qualifications

  • Fluency in Spanish (Latin America) and English.
  • Strong background in mathematics, ideally with a degree in Mathematics, Statistics, or related field.
  • Experience in data annotation, content validation, or AI training roles.
  • Attention to detail and a commitment to quality assurance.
  • Proficient in using data annotation tools and software.

Preferred Qualifications

  • Experience in machine learning or artificial intelligence concepts.
  • Familiarity with educational content development or instructional design.
  • Ability to work independently and collaboratively in a remote setting.

What We Offer

We provide a dynamic work environment, opportunities for professional growth, and a chance to be part of cutting-edge AI projects. Join us to make a significant impact in the AI training sector while working with a passionate team dedicated to excellence.

Location: Argentina, Bolivia, Caribbean, Central America, Chile, Colombia, Costa Rica, Cuba, Dominican Republic, Ecuador, El Salvador, Equatorial Guinea, Guatemala, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, South America, Spain, Uruguay, Venezuela (remote).

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