Senior Computational Linguist (Pipeling)

Job Locations US-Remote | US-WA-Seattle
Posted Date 5 days ago(1/14/2022 10:19 PM)




Position Summary 

As part of Appen’s Advanced Research and Consulting (ARC) team, the Senior Computational Linguist will help design and prototype next-generation tools for data creation, enrichment, and structuring.  The Senior Computational Linguist will envision, scope, design, build, and test new solutions from the ground up, in collaboration with a highly effective cross-functional team consisting of linguists, ML scientists, knowledge engineers, and other developers.




  • Collaborate closely with ARC subject matter experts and developers to envision, create, and prototype solutions for our clients’ most pressing data problems
  • Participate in all parts of the software development life cycle for prototype solutions
  • Communicate effectively with awide range of stakeholders, including Product, Engineering, Sales, Customer Delivery teams, and customers 


Required Knowledge, Skills and Abilities 

  • Strong programming skills with a working knowledge of both front-end and back-end development
  • Experience in the full software development lifecycle from conception to production deployment
  • Expertise with at least one widely adopted programming languagesuch as Python, Java, C++ 
  • Knowledge of or willingness to quickly learn to our tech stack: Python, ReactJS
  • Ability to think outside the box and create innovative solutions to new problems
  • Strong interpersonal, presentation, written and verbal communication skills, including the ability to adapt your message to the context of the audience
  • Strong requirements gathering and discovery skills
  • Excellent problem solving, critical thinking, and analytical skills
  • Ability to work effectively as a teamplayer in a collaborative environment 
  • Embodiment of Appen’score values: performance, honesty, humility, and grit 
  • Bonus for dev-ops skills: Linux, automation, sever administration, cloud environments, etc.


Qualifications and Experience 


    •   Required:   4-year degree in a relevant technical field, or equivalent combination of formal training and experience 
  • Required:  3+ years software engineering experience  
  • RequiredFamiliarity with semantic web technologies (RDF, SPARQL, etc.), graph databases (Neo4J, AWS Neptune, etc.) and related technologies  


Preferred Qualifications and Experience

  • Preferred:  Experience with computer vision and image processing 
  • Preferred:  Experience with AI/ML pipelines, including NLP, ASR, and TTS 
  • Preferred:  Advanced degree in a relevant technical field 
  • Preferred:  Experience writing white papers and/or publishing at academic conferences or willingness to learn  




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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