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Subject Matter Expert, Software Engineering (Contract) - Remote

Posted 11 hours ago
All others
Contract
USA
$25 - $38 USD/hour

Overview

Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox, the leading data-centric AI platform for building intelligent applications.

In Short

  • Seeking Subject Matter Experts (SMEs) for AI data projects.
  • Focus on domains like Math, STEM, Programming, and Internationalization.
  • Contract-based role, paid hourly.
  • Design project structures and labeling workflows.
  • Develop contributor guidelines and quality assurance frameworks.
  • Collaborate with internal teams for subject matter accuracy.
  • Proven expertise in relevant domains required.
  • Experience in data workflows or technical documentation preferred.
  • Strong communication and organizational skills needed.
  • Prior experience with data labeling or ML/AI is a bonus.

Requirements

  • Proven expertise in one or more relevant domains.
  • Experience designing or reviewing data workflows.
  • Strong communication skills.
  • Organizational skills.

Benefits

  • Flexible work hours.
  • Work from anywhere.
  • Engagement in high-impact AI projects.
  • Opportunity to collaborate with leading AI teams.

Alignerr

Alignerr

Alignerr.com is a collaborative platform that brings together subject matter experts from various fields to enhance AI models by generating high-quality data, particularly in the realm of Generative AI. Operated by Labelbox, a leading data-centric AI platform, Alignerr focuses on integrating human expertise with AI technologies to improve the accuracy and efficiency of intelligent applications. Labelbox serves a diverse clientele, including Fortune 500 companies across industries such as insurance, retail, and healthcare, and is supported by prominent investors. The company is dedicated to advancing AI capabilities while ensuring effective human oversight and automation.

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