Object Photography Collection (Mobile-Friendly) - Paid Opportunity
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 13h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 73d ago
The date the source published, not the day we noticed it (2026-07-23). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Carried by 1 source
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bamboohr employer's own board first seen 13h ago · last seen 3h ago
The listing
Project Overview
We are seeking contributors for a paid data collection project involving smartphone photographs of real-world objects. The objective is to gather thousands of high-quality images, along with metadata and corresponding URLs, across a wide range of object categories to support AI development.
Participants will submit images of objects they already have access to, captured in natural real-world settings. Submissions should include variation in backgrounds, locations, lighting, and weather conditions where applicable.
This is a remote, freelance, task-based opportunity with flexible participation.
Eligible Countries & Languages
We are currently seeking contributors from the following locales:
- Australia (English)
- Austria (German)
- Canada
(French)
- Chile (Spanish)
- Colombia (Spanish)
- Denmark (Danish)
- Finland (Finnish)
- France (French)
- Germany (German)
- Ireland (English)
- Israel (Hebrew)
- Malaysia (Malay)
- Mexico (Spanish)
- Morocco
(Arabic, French)
- Netherlands (Dutch)
- New Zealand (English)
- Sweden (Swedish)
- Switzerland (French, German, Italian)
- United Kingdom (English)
- United States
(English,
Spanish)
Object Categories
We are looking for photographs across, but not limited to, the following categories:
Home & Personal Items
Household Items, Furniture, Bathroom Items, Baby & Child Care Items, Laundry & Cleaning, Containers & Storage and other relevant items
Technology & Equipment
Electronics & Devices, Lighting & Electrical, Tools & Hardware, Safety & Security
Fashion & Lifestyle
Clothing & Accessories, Eyewear, Medical & Personal Care
Food & Daily Living
Food & Beverage, Fresh Produce, Packaged Foods, Prepared Dishes
Education & Work
Stationery & Office, Books & Media, Text & Documents
Recreation & Entertainment
Sports & Fitness, Toys & Games, Musical Instruments, Crafts & Hobbies
Transportation & Outdoor
Transportation, Outdoor & Garden, Environmental & Natural Elements
Culture & Community
Religious & Cultural Items, Signs, Symbols & Icons, Fine Art & Museum Objects, Business & Storefronts, Shopping & Retail
Specialty Categories
Pets & Animals, Time & Measurement, Uncommon/Rare Objects, Other Relevant Objects
Requirements
- Must reside in one of the eligible countries listed above.
- Be fluent in the specified language for your locale.
- Have access to a phone capable of capturing high-quality images.
- Be able to follow detailed collection instructions and quality requirements.
- Have access to objects that fit within the project categories.
- Must be able to provide a valid URL reference for most submitted objects (e.g., product page or equivalent source link)
Compensation:
Per approved asset (photo) + corresponding metadata.
Why Participate?
- Work remotely on your own schedule.
- Participate in a real-world data collection project to support AI development
- Receive compensation per approved submissions.
- Remote job: kindly note that the location set in the post is only for reference as the list of countries/languages is listed previously above.
Detailed guidelines, category requirements, and compensation information will be shared with qualified contributors.