Mathematics AI Trainer - Bilingual Spanish Specialist

Visible Hands

Delhi

À distance

INR 248 000 - 441 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Flexible working hours
Remote-first environment
Competitive hourly rate

Résumé du poste

Rise Data Labs is seeking a detail-oriented Mathematics AI Trainer fluent in Spanish (Latin America) to join our remote-first team. You will train and enhance AI models through precise data annotation and evaluation, applying your mathematics expertise to improve AI-generated content across various projects.

The role requires fluency in Spanish (LATAM) and English, a strong math background, and experience in data annotation.

Qualifications

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

Responsabilités

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

Connaissances

Spanish (LATAM)
English
Mathematics
Data annotation
Attention to detail
Independent / team work

Description du poste

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.

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