Labelbox’s mission is to build the best products for humans to advance artificial intelligence. As a Project Specialist -Data Labeling, you will work across engineering, customer, and data labeling teams to create highly accurate datasets. This is a unique, cross functional position where you will act as a project manager ensuring successful data labeling and machine learning outcomes for customers. You are a creative problem solver with attention to detail.


    • 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

Key attributes

    • 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

Basic Qualifications

    • 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

Nice to have

    • Experience working on computer vision use cases
    • Experience working as a Quality Assurance Analyst (QAA)
    • Experience scoping and developing ontologies and taxonomies