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AI Training Specialist - STEM Focus

Rise Data Labs Β· 100% remote Β· Contract Β· Posted

Pay
$20–45/hr
Location
Worldwide
Languages
English
Hours
Flexible work hours
Openings
Not listed
Level
Expert

Summary

Annotate training data and validate AI-generated content using STEM expertise. Help improve model accuracy, reliability, and data quality across projects.

What you'll do

  • Annotate and label training data.
  • Review AI-generated content for accuracy and relevance.
  • Apply STEM expertise to improve model reliability.
  • Collaborate on AI training projects.
  • Contribute to data quality assurance.

Requirements

  • Bachelor's degree in a STEM field.
  • Strong analytical skills and attention to detail.
  • Experience in data annotation, machine learning, or AI training.
  • Proficiency with data annotation tools.
  • Excellent written and verbal communication.
  • Advanced STEM degree preferred.
  • Python or R knowledge and AI framework experience preferred.
  • Quality assurance experience preferred.

Skills

  • Data Annotation
  • Machine Learning
  • Quality Assurance
  • Python
  • R
  • Computer Science
  • Engineering
  • Mathematics

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

We are seeking a dedicated and detail-oriented AI Training Specialist with a strong STEM background to join our team at Rise Data Labs. In this role, you will be instrumental in training and enhancing AI models through effective data annotation and validation processes. You will leverage your domain expertise to ensure the highest quality data for machine learning applications across various projects.

Key Responsibilities

  • Train and improve AI models through accurate data annotation and labeling.
  • Review and validate AI-generated content for accuracy and relevance.
  • Provide domain expertise to enhance AI model performance and reliability.
  • Collaborate on various AI training projects across diverse fields.
  • Maintain high standards of data quality and contribute to quality assurance processes.

Required Skills and Qualifications

  • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Mathematics).
  • Strong analytical skills with a keen attention to detail.
  • Experience in data annotation, machine learning, or AI model training.
  • Proficient in using data annotation tools and software.
  • Excellent communication skills, both written and verbal.

Preferred Qualifications

  • Advanced degree in a relevant STEM field.
  • Familiarity with programming languages such as Python or R.
  • Experience working with AI and machine learning frameworks.
  • Previous experience in a quality assurance role.

What We Offer

At Rise Data Labs, we value our employees and strive to create a positive work environment. We offer competitive compensation, flexible work hours, and opportunities for professional growth and development. Join us and be part of a dynamic team dedicated to pushing the boundaries of AI and data innovation.

Location: Global - All countries welcome (remote).

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