• Linguistic Project Manager - Cavite

    Job Locations PH-Cavite
    Posted Date 3 weeks ago(10/1/2018 9:15 PM)
    Project Management
  • Overview

    Appen is an award-winning organization. Our people help leading technology companies expand into new global markets. With capability in over 180 languages, Appen’s global network of specialists and in-country virtual teams work together to ensure new products and technologies operate in all the languages our clients need. Whether our clients need help for in-vehicle speech recognition technology, improving search engine performance or building translation software, Appen delivers. 


    Key Responsibilities:

    The role includes but is not limited to the following duties and responsibilities:

    • Autonomously plan and manage projects to quality, time and budget to ensure effective project execution and delivery
    • Onboard and train 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
    • Document and manage language resources arising from projects
    • Manage client relationships through customer service and regular reporting (as required)
    • Provide operational input to the Business Development team (as required)

    Required Skills, Knowledge and Abilities:

    • Degree in linguistics, computational linguistics or language studies, or equivalent experience
    • Project management experience (1-3 years), preferably in a language, linguistics, or software-related field
    • Solid understanding of linguistic concepts and terminology
    • Strong technical and data management skills
    • Experience or exposure to regular expressions, bash scripting, or programming skills
    • Native or near-native proficiency in at least one language other than English
    • Familiarity with a range of Natural Language Processing technologies
    • Demonstrated ability to work effectively in an environment characterized by constant change, and a fast, deadline-driven culture


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