Please mention DailyRemote when applying
Work Location: United States; Remote
We are currently looking for contributors for our Ronia Raw Photo Collection Project.
We invite photographers, photo hobbyists, visual creators, and anyone passionate about photography to participate in our RAW Photo Collection project.
Do you regularly capture high-quality photos in RAW format to expand your photo library? If the answer is yes, this project allows you to earn extra income by contributing your photos to the development of advanced AI and computer vision technologies. Your images can have a real-world impact beyond your personal library.
Participants may submit both existing photos from their personal archives and newly captured images in RAW format. We’re looking for a wide variety of subjects, styles, lighting conditions, and environments—including nature, events, everyday scenes, objects, and more.
Photos may be captured in RAW and other supported formats using eligible iPhones or digital cameras. Uploading is quick and easy via our mobile app or browser-based data collection tool.
We will be collecting the following types of photos:
Accepted Formats:
The photos should be native RAW and DNG where applicable (including CR3, NEF, ARW, RAF, DNG, RW2, ORF, and PEF). These files retain the raw data captured by the device at the moment the photo was taken.
All submitted photos must be original and taken by you. Photos downloaded from the internet or generated using AI will not be accepted.
Intellectual Property Rights: Participants retain full ownership of all submitted photos, which will be used exclusively for internal purposes by our client and will not be distributed, or published.
To participate you should meet the following qualifying criteria:
Be 18 years or older.
Be a resident of the United States.
Be able to upload RAW images or a pair of two images following our instructions.
All images should be taken with one of the following devices:
iPhone models accepted:
15 Pro, 15 Pro Max
16 Pro, 16 Pro Max
17 Pro, 17 Pro Max
All accepted iPhone models should run iOS 14.3 or later.
No other smartphones are permitted.
Digital Cameras
Full-frame mirrorless
Full-frame DSLR
APS-C mirrorless
APS-C DSL
This is a fully remote project. You can participate from the comfort of your home or preferred location within the US.
Please note the following location-based limitations:
Public Images are photos taken in publicly accessible places and/or featuring identifiable individuals. We can accept Public Images only if they were captured in the following U.S. states: AL, AK, AZ, AR, FL, GA, HI, ID, KS, LA, ME, MA, MI, MS, MO, NM, NY, NC, ND, OH, OK, PA, SC, SD, VT, WV, WI, WY.
Non-Public Images (for example, photos taken in private settings without public access) are accepted from all U.S. states, except IL, WA, and TX.
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You will receive $1.50 USD per each accepted photo. Participants may submit as many photos as they wish across all open categories. Please note that some categories may have submission limits, and once a category is filled, it will be closed. Submissions are accepted on a first-come, first-served basis.
Example earnings:
50 accepted photos x $1,50 = $75 USD
100 accepted photos x $1.50 = $150 USD
Please note that all submissions will be checked by our Quality Assurance team, and compensation will be provided for submitted and accepted photos. The project team will provide you with feedback once the Quality Check process is completed.
As payment methods we offer Wire Transfer, PayPal, Gift Card and Check according to your preference.
Referral Bonus Program
We offer a referral bonus of $15 USD for each participant you refer to the project who submits a minimum of 50 accepted photos.
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If you have any doubts or questions, please don't hesitate to reach out to us at: DataForce.Sourcing@transperfect.com
DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.
We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.
To learn more about DataForce please visit us at https://www.transperfect.com/dataforce.
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