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

DATAmundi freelance & vendor applications · Los Angeles, United States · Data annotation / labeling

English Data Collection (Real-World Membership Cards – Key Tags) is an open role at DATAmundi freelance & vendor applications, located in Los Angeles, United States.

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At a glance

Pay
Not disclosedDATAmundi freelance & vendor applications doesn't publish a rate for this listing
Location
Los Angeles, United States
Listed
Since Jul 23, last confirmed Oct 24

From DATAmundi freelance & vendor applications’ listing

“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.”
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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 ( p ayment 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.

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About DATAmundi freelance & vendor applications: part of DATAmundi / Summa Linguae Technologies. See the full profile →

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Frequently asked questions

How do I apply for the English Data Collection (Real-World Membership Cards – Key Tags) role at DATAmundi freelance & vendor applications?

Applications go through DATAmundi freelance & vendor applications's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. DATAmundi freelance & vendor applications's access model is "Apply" (Freelance/vendor application). This listing was first seen here on July 23, 2026 and was still live at the last check.

Is the English Data Collection (Real-World Membership Cards – Key Tags) role at DATAmundi freelance & vendor applications remote?

This role is listed for: Los Angeles, United States.

What does the English Data Collection (Real-World Membership Cards – Key Tags) role at DATAmundi freelance & vendor applications pay?

DATAmundi freelance & vendor applications doesn't state a rate on this listing. HumanSourcer never fills that gap with an estimate, so the absence is the source's, not a hole in this page. DATAmundi freelance & vendor applications's profile shows what its rate-carrying listings do advertise.

What kind of work is English Data Collection (Real-World Membership Cards – Key Tags)?

Data annotation / labeling. Translation, verification, editing, QA and potentially AI-data projects

Is DATAmundi freelance & vendor applications a legitimate AI-training platform?

Direct freelance/vendor route - and that relationship is rated "Confirmed" here because it can be checked against datamundi.ai rather than taken on DATAmundi freelance & vendor applications's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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