Linguistic Project Manager

4 months ago


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 projects for established clients, and support the Language Resources team in managing large-scale linguistic technology programs. He/ She is responsible for independently managing the entire scope of the project and a virtual team of linguistic consultants efficiently and effectively to meet or exceed project targets while delivering high quality.


Key Responsibilities:

  • Autonomously plan and manage projects to quality, time, and budget; ensure effective project execution and delivery
  • Onboard and train a virtual team of consultants to create, evaluate or annotate linguistic data in multiple languages
  • Oversee the work of consultants, including task assignment, scheduling, and monitoring
  • Prepare guidelines, training materials and tools, aligned to client specifications
  • 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

Required Knowledge, Skills, and Abilities:

  • Degree in linguistics, computational linguistics or language studies
  • 1-3 years project management experience preferably in a language, linguistics, or software-related field
  • 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 Skills:

  • Experience with regular expressions, 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
  • High preference will be given to candidates from Detroit area


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