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.
The main responsibility of an Associate Linguistic Project Manager is to manage projects for Appen’s clients. The ALPM applies their knowledge of linguistic phenomena, technical skills and attention to detail to manage projects to quality expectations, timelines, and budget. The ALPM applies their communication skills to manage stakeholder relationships and teams of language specialists around the world.
The role includes but is not limited to the following duties and responsibilities:
- 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
- Document and manage language resources arising from projects
Required Skills, Knowledge and Abilities:
- Experience in a languagerelated field, such as linguistics, computational linguistics, translation and localization, or equivalent
- Good technical and data management skills
- Good problem solving and analytical skills
- Demonstrated ability to work effectively in an environment characterised by constant change, and a fast, deadline driven culture
Preferred Skills, Knowledge and Abilities:
- Project management experience, preferably in a language, linguistics, or softwarerelated field.
- Degree in linguistics, computational linguistics or languagerelated studies, or equivalent experience
- Understanding of linguistic concepts and terminology
- Some experience with regular expressions, bash scripting, or programming skills
- Native or nearnative proficiency in at least one language other than English
- Exposure to a range of Natural Language Processing technology