LINGUISTIC PROJECT MANAGER

 (Language Technology Projects)

About the Role:

To meet our current and future work commitments we are inviting applications from individuals with interest in language, technology and project management. The role involves managing concurrent projects, applying your linguistic & project management skills. The successful candidate will join a friendly project focused team supporting clients in North America.

You will lead teams towards customer project delivery while simultaneously handling key stakeholder relationships. You will need to be a highly motivated, ‘results driven’ individual, with superior organizational skills. You will be a natural leader, with excellent communication skills, that enable you to build relationships, manage client relationships and motivate project team members.

 Position Summary:

The Project Manager at Appen will manage a portfolio of small to medium-sized linguistic projects for established clients. He/She will rely on their linguistic skills to lead project teams of linguists/specialists, while bringing in their project management and customer focus to effectively manage project scope, and to meet or exceed project targets while delivering high quality.

Key Responsibilities:

• Autonomously plan and manage project teams to quality, scope, time, and budget; ensure effective project execution and delivery
• Build strong client relationships through customer service and regular reporting
• Report and manage project financial activities
• Report project status, manage risk and issues and undertake recovery action as necessary to ensure project success
• Ensure close and regular communication with all internal project stakeholders
• Share knowledge and take initiative to improve processes
• Provide operational input to the Sales team to support business growth opportunities

Required Knowledge, Skills, and Abilities:

• Degree in linguistics, computational linguistics, language studies, a related field, or equivalent experience
• 2-5 years project management experience preferably in a language, linguistics, or software-related field, in a client-facing role
• Solid understanding of linguistic concepts and terminology
• Familiarity with a broad range of Natural Language Processing Technologies and their application to the company's business areas
• 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

Desired Skills:

• Native or near-native proficiency in at least one language other than English
• Familiarity with a range of Natural Language Processing technologies
• Experience with regular expressions, scripting, or programming skills

About Appen

Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video. With deep expertise in more than 180 languages and access to a global crowd of over 1 million skilled contractors, Appen partners with technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.

At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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