Appen

  • Linguistic Project Manager - US (Remote)

    Job Locations US-Remote | US-CA-San Francisco Bay Area | US-WA-Seattle
    Posted Date 2 months ago(10/22/2018 3:45 AM)
    ID
    2018-3953
    Category
    Project Management
  • Overview

    Appen is a global leader in the development of high-quality, human annotated datasets for machine learning and artificial intelligence. With over 20 years of experience, expertise in more than 180 languages, and access to a global crowd of over 400,000, Appen partners with leading technology companies to enhance their machine learning-based products.

     

    Position Summary: 

    The Linguistic Project Manager (LPM) at Appen will manage a portfolio of small and medium-sized linguistic consultation projects for established clients, and support the Language Resources team in managing large-scale language technology programs. They are responsible for independently managing the entire scope of the project efficiently and effectively to meet or exceed project targets while delivering high quality.

     

    Key Responsibilites:

    • Autonomously plan and manage projects to quality, time and budget; ensure effective project execution and delivery
    • Recruit and onboard a virtual team of consultants to create, evaluate or annotate linguistic data in multiple languages
    • Prepare guidelines, training materials and tools, aligned to client specifications
    • Oversee the work of consultants, including task assignment, scheduling and monitoring
    • Ensure close and regular communication with all internal project stakeholders
    • Share knowledge and take initiative to improve processes
    • Manage client relationships through customer service and regular reporting
    • Provide operational input to the Business Development team

    Job Qualifications

     

    Essential:

    • Project management experience (1-3 years), preferably in language technology, artificial intelligence, or closely related field
    • Degree in linguistics, computational linguistics, language studies, or equivalent experience
    • Solid understanding of linguistic concepts and terminology
    • Strong technical and data management skills
    • Excellent communication skills
    • Demonstrated ability to work effectively in an environment characterized by frequent change, and a fast, deadline-driven culture

     

    Preferred:

    • Experience with regular expressions, scripting, or programming skills
    • Native or near-native proficiency in at least one language other than English
    • Experience with Natural Language Processing and/or Machine Learning technologies

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