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.
For small projects and established clients, the LPM 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. Project responsibilities include spec development, consultant onboarding and training, quality control, preparation of deliverables and managing relationships with stakeholders.
The LPM role is a leadership position with active assistance in process development/definition, improvement and documentation, and peer training and mentoring of others as needed.
- 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
- 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
- Provide operational input to the Business Development team
- Project management experience (1 – 3 years), preferably in a language, linguistics, or software-related field
- Degree in linguistics, computational linguistics or 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
- 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