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Job Detail
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Job ID 193133
Job Description
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I'm looking for a skilled individual or team to help enhance the searchability of my image library. The project involves adding keywords, tags, and descriptions to a collection of images in jpg and tif format to make them more easily searchable and organized. This added information should be compatible with various platforms, including Content Management Systems (CMS), Digital Asset Management Systems (DAMS), and Cloud Storage Services.
**Key Requirements:**
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– **Data Entry:** Efficiently use an Excel file I will provide, which contains the necessary keywords, tags, and descriptions for each image. This information needs to be accurately assigned to the corresponding images.
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– **Compatibility:** Ensure that the enriched images are fully compatible and can be integrated easily with CMS, DAMS, and Cloud Storage Services without any loss of metadata or image quality.
– **Automation Skills:** While the primary method of assigning information is using the Excel file, having knowledge or tools that can automate repetitive aspects of the process would be highly beneficial.
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– **Image Handling:** Experience in handling and processing jpg and tif image formats without compromising the quality.
– **Metadata Management:** Ability to manage and embed metadata directly into image files in a way that's recognized by the mentioned platforms.
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**Ideal Skills and Experience:**
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– Proficiency in metadata management and digital asset management.
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– Experience with CMS and cloud storage solutions.
– Strong attention to detail for manual data entry tasks.
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– Familiarity with image editing and management software that can handle jpg and tif formats.
– Ability to automate processes for more efficiency is a plus.
The goal of this project is not just to make these images more searchable but also to ensure that they are organized in a way that enhances workflow and accessibility across the necessary platforms. If you have the skills and experience listed above, I believe you could be a great fit for this project.
Project ID: #37755108
About the project
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