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Data Annotation Project Specialist


Labelbox’s mission is to build the best products for humans to advance artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Our training data platform enables organizations to improve their machine learning models far quicker and more accurately. We are determined to build software that is more open, easier-to-use, and singularly focused on getting our customers to performant ML faster.  Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Allstate, John Deere, Bayer, Warner Brothers and leading AI-focused companies including FLIR Systems and Caption Health. We are backed by leading investors including Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), and Kleiner Perkins.

Responsibilities

    • Scope, develop, and operate data labeling projects that produce high-quality, ML-ready data sets
    • Help customers build production-grade data labeling pipelines
    • Translate technical requirements into atomic tasks and workflows for data labeling teams
    • Track and analyze metrics to deliver remarkable customer service
    • Accuracy, precision, time-to-delivery, speed, and cost are the key metrics for a successful project
    • Coordinate large-scale data operations projects between customers and data labeling teams
    • Assess and manage data labeling workforce performance to help them deliver the best results
    • Continuously improve quality and throughput of our data labeling services
    • Develop policies, guidelines and workflows pertaining to data management and labeling services
    • Understand the similarities and differences across datasets
    • Proactively finding ways to improve and scale up data labeling efforts
    • A passion for data and quality
    • Strong analysis and troubleshooting skills
    • Detail-oriented, with a sharp eye for visual differences between images
    • An ability to navigate and advise on efforts related to complex customer requests or projects, gathering additional human resources for assistance if needed
    • An ability to learn quickly to understand and articulate new technologies and corresponding value propositions
    • A strong motivation to work closely with customers to create the best possible experiences with Labelbox
    • Assertive, positive and effective communication skills in English – both written and oral – with considerable attention to detail and the ability to present and influence
    • Demonstrated problem-solving ability, particularly in complex technical situations
    • Ability to thrive in a dynamic, fast paced startup environment
    • Bachelor's Degree in a technical field or related discipline preferred, relevant professional experience also considered
    • Experience building and/or QAing datasets
    • At least 2 years of experience with analytical software such as Excel
    • Vendor management experience
    • Experience working on computer vision use cases
    • Experience working as a Quality Assurance Analyst (QAA)
    • Experience scoping and developing ontologies and taxonomies
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