Summa Linguae Technologies
Summa Linguae Technologies

English Data Collection (Real-World Membership Cards – Key Tags)

TLDR

Submit authentic membership card key tags from real-world items, following project guidelines and privacy requirements.

Project Overview 

We are seeking qualified contributors to support a large-scale English real-world data collection project. This is a paid opportunity (payment per asset), and you may use your existing data as long as it meets project requirements. 

This project requires naturally occurring content sourced from real items. Participants may submit existing materials, provided they meet all project requirements and quality standards. 
⚠️ Synthetic or AI-generated data will not be accepted. 

Data Sources 

  • Membership cards in the form of Key Tags: Includes library, gym/fitness (e.g., boxing, yoga, Pilates), museum, special interest memberships, and loyalty or rewards cards (e.g., discounts, points, purchase or service rewards such as car washes).  

Key Requirements 

  • Must be physically located in one of the supported countries listed below. 
  • Submit only authentic, real-world data (no synthetic or AI-generated content).  
  • Follow project guidelines for formatting and submission. 
  • Ensure compliance with any applicable privacy or data-sharing requirements. 

Supported Locales 

  • English (United States) – candidates must be located in the United States

Compensation: per asset (payment is calculated per approved asset). 

How to Apply: If you are based in one of the supported countries and interested in this opportunity, please submit your application. Shortlisted candidates will be contacted with detailed project guidelines and onboarding instructions. 

Benefits

Paid Time Off

This is a paid opportunity (payment per asset)

Summa Linguae Technologies builds high-quality multilingual data services that empower AI innovators to create smarter and more effective models. By specializing in data labeling, annotation, benchmarking, and enrichment, we cater to global enterprises and research organizations across various industries, ensuring reliable and scalable data solutions.

Founded
Founded 2012
Employees
201-500 employees
Industry
internet
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