Project Specialist - Data Labeling

East Coast or San Francisco

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Posted 1 month ago

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

Job tags: Computer Vision Customer service Excel Human Resources Machine Learning ML