Specialist & PMO Computational Linguist

Job Locations US-Remote
Posted Date 2 days ago(6/27/2022 12:59 PM)


Specialist & PMO Computational Linguist





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.




Position Summary



The main responsibility of a Computational Linguist is to provide operational data processing and packaging solutions using programming, machine learning and other computational means. The Computational Linguist applies expert technical and linguistic skills to solution design for new projects, creation and implementation of process improvements, and the successful delivery of complex projects.




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


  • Develop tools for language processing
  • Undertake project work requiring strong computational, technical and linguistic skills
  • Lead department- and division-level technical and linguistic initiatives to improve efficiency and productivity and operational processes
  • Provide technical training and technical background to other team members
  • Develop technical solutions for new projects in liaison with Linguists and Senior Linguists



 Qualifications and Experience



  • 3+ years in the Language Technology Industry or equivalent academic experience
  • Advanced degree in Linguistics, Computational Linguistics, a related field, or equivalent experience
  • Excellent technical and programming skills; desire and ability to extend computational skill set as required
  • Significant technical experience using Unix and custom programs and scripts.
  • Strong linguistic analysis skills
  • Excellent communication skills
  • Accountability and drive to produce rapid results and solutions
  • Ability to work effectively in an environment characterized by constant change, ambiguous client specifications, and a fast, deadline-driven culture



About Appen



Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.


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 do not 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.




Growth Strategy



High-quality training data necessarily includes human beings, to record and transcribe speech for example or recognize complex images. Appen uses a crowdsourced model to engage humans at scale, but this increases the cost, time, and complexity of providing data sets. The company relies on technology to accelerate and reduce the cost of training data. It has developed and acquired platform that manages and enables crowd workers.



Appen’s Growth Strategy is Built on Four Pillars



  • Grow in New Markets: Drive growth in target customer segments China, Government, Enterprise, and Global Product
  • Automate our annotation services: Leverage AI and ML in our labelling operations to improve the productivity and quality of our workforce
  • Expand our product offering: Add new products and capabilities to expand into the broader data and AI market
  • Evolve how we do business: Improve the scalability of our operations including sales, project delivery, and crowd management





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