Data Labeler

PhotoDay is searching for the next team player to join our growing tech company! At PhotoDay, we believe work should be a fun and empowering addition to your day.

We’re not just software—we are a community dedicated to bringing picture day into the hands of today’s parents, influencing and improving creativity, and leveraging technology every step of the way. Established in 2018, we’re headquartered in Winter Park, FL, and have employees worldwide.

We ensure a collaborative and inclusive work environment that inspires our employees to strive for excellence and innovation. We pride ourselves on fun, dedication, and diversity! PhotoDay is an equal opportunity employer.

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Role Summary:

The Data Labeler is a critical member of our Machine Learning Team, responsible for ensuring the quality and accuracy of image data. This role will be pivotal in reviewing, refining, and labeling image data to train and test our machine learning models.

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Key Responsibilities:

Image Review and Quality Control

• Examine and scrutinize images in the dataset.
• Discard or remove any images that do not meet specific task requirements or quality standards.
• Ensure consistency and high quality in image selection to enhance the model's accuracy.‍

‍Image Labeling

• Closely follow the provided guidelines and instructions to label specific objects within images.
• Ensure precision in labeling to guarantee data consistency.
• Address and rectify any discrepancies or ambiguities in labeling instructions.

Model Result Review

• Analyze and assess the results produced by machine learning models.
• Verify the correctness of model predictions and output in comparison to labeled data.
• Provide feedback to the machine learning team regarding model performance and potential areas of improvement.

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Qualifications:

• High school diploma or equivalent. 
• Strong attention to detail and an analytical mindset.
• Ability to comprehend and follow complex instructions.
• Previous experience in data labeling or a similar role is a plus.
• Familiarity with machine learning concepts and terminologies is an advantage.
• Proficient computer skills.
• Ability to quickly learn and adapt to new tools and software.
• Excellent communication skills, both verbal and written

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Benefits:

This is a flexible schedule due to its part-time nature. We will work with you to determine a fixed schedule of hours that is mutually agreeable for everyone.

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How to Apply:

Interested candidates are invited to send their resume and a cover letter detailing their relevant experience to rainer@photoday.io. Please use the subject line "Application for Data Labeler."

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