Image Data Collection Specialist

9 Hours ago • All levels

About the job

Summary_{By Outscal}

Seeking a meticulous Image Data Collection Specialist with strong understanding of machine learning concepts and image processing techniques. You will be responsible for collecting, analyzing, and curating image datasets for training and refining machine learning models.

Eyeline Studios

At Eyeline, Scanline VFX's virtual production division, we want to provide you with a solid foundation where you can be a part of an innovative team of brilliant researchers, developers and virtual storytellers. Learn more.

As an Image Data Collection Specialist, you will be responsible for collecting, analyzing, and curating image datasets that are critical for training and refining machine learning models. Your role will involve sourcing images from diverse datasets, ensuring their quality and relevance, and implementing best practices in data management to support our Research initiatives. You must be very detail oriented and self motivated to locate specific material and thoroughly document all required details.

Key Responsibilities

Identify and source image and video datasets from approved channels, including public datasets, and Eyeline’s proprietary data sets.
Extract images from select, approved sources and document all source information.
Analyze images to assess quality, diversity, and relevance to project requirements.
Ensure the requested image datasets are complete and aligned with specifications provided.
Conduct preliminary data cleaning to identify and rectify any issues such as duplicates or corrupted files.
Deliver all data into a proprietary asset management system with proper documentation and version control.
Work closely with data scientists, machine learning engineers, and other team members to understand and address image data needs.
Provide insights and recommendations based on data analysis to improve model performance.
Diligently identify and record all source information and metadata for all downloaded images and files.

Qualifications

Meticulous attention to detail is a must.
Strong understanding of machine learning concepts is important. Experience with image processing techniques is helpful.
A background in Computer Science, Data Science, Image Processing, or a related field is helpful.
Some python scripting ability is preferred.
An understanding of photographic terminology, image formats, metadata.
Experience with image data collection, analysis, and curation, preferably in a machine learning or data science context.
Strong communication skills and the ability to convey technical information clearly.

About Us

Scanline VFX is an award-winning leader in the visual effects industry with 7 studios worldwide, including London, Los Angeles, Montreal, Munich, Seoul, Stuttgart, and Vancouver. Since our beginning in 1989, we strive to set the highest standard of quality in everything we do. Through innovation, we generate solutions for our clients and raise the bar — both within our workplace and throughout our industry.

Powered by Netflix

Netflix’s investment in our pipeline, infrastructure, and workforce allows us to continue to push the boundaries of what is possible in visual effects. In addition to working on projects for Netflix, we continue to work with a variety of long-standing and new clients.

Come as you are

We are committed to ensuring fair and equal treatment of your application. When you apply for a role with us, you will receive consideration based solely on your qualifications.

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About The Company

Scanline VFX

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Scanline VFX is an award-winning, global leader in the visual effects industry with studios in 7 core locations including London, Los Angeles, Montreal, Munich, Seoul, Stuttgart, and Vancouver. From humble beginnings over 30 years ago, we’ve grown to a team of over 1,200 made up of diverse nationalities from around the world. We believe in the power of storytelling and are committed to helping filmmakers realize their artistic vision. Underpinned by a commitment to innovation, collaboration and long-standing partnerships, we continue to develop innovative tools, techniques and technologies, to offer filmmakers the ultimate in creative freedom. Eyeline Studios, Scanline’s virtual production division, is rethinking the future of real-time filmmaking by providing content creators with unmatched flexibility.

Netflix’s investment in Scanline’s pipeline, infrastructure, and workforce allows Scanline to continue to push the boundaries of what is possible in VFX. In addition to working on projects for Netflix, Scanline continues to work with a variety of long-standing and new clients outside of Netflix.

Established in 1989 in Munich, Scanline became well-known for our ability to create photorealistic natural phenomena such as fire, smoke and water, having developed our proprietary fluid simulation software, Flowline. Scanline was the sole developer of Flowline and in 2008, and was the recipient of a Scientific and Technical Achievement Academy Award® for the software.