Taxonomist

    • San Jose, CA

Help us unlock information, weave artificial intelligence into our products, and invent the
future. The Adobe Document Cloud's Data Team is looking for a taxonomist to help us define
the data needs for all machine learning (ML) efforts in Document Cloud. The Adobe Document
Cloud is responsible for technologies for creating, manipulating and consuming PDF files across
a range of services, mobile apps and desktop products. The flagship PDF application within the
Adobe Document Cloud is Adobe Acrobat, which is installed on over a billion devices and opens
billions of PDFs every year.

Adobe Document Cloud is pushing the boundaries of Document Intelligence by leveraging
machine learning. As the Data Team, our mandate is to support all machine learning projects
within Document Cloud by providing them with high quality labeled data. Clean data starts with
clear explanations. The taxonomist's role is to formulate those explanations by distilling what
they learn from researchers, product management, and subject-matter experts into rules that
are both precise and easily understandable by non-experts who are hired to annotate our data.
The resulting guidelines will be used by teams of annotators as they label data for training and
evaluating machine learning models.

If you have a passion for detail and want to help build Adobe's next revolution in how people all
over the world communicate, we'd love to hear from you!

What you'll do

  • Work closely with product managers, data scientists, subject matter experts, engineering teams, and other stakeholders (ML teams working on both visual and NLP models) to gather requirements, write guidelines, and build consensus around them.
  • Build annotation strategies for NLP and computer vision, helping us get the right data for the right use case at the right time.
  • Work with the annotation team, answering their questions and monitoring their work to identify points of confusion.
  • Adjudicate data by selecting the most accurate annotation when multiple annotators disagree.
  • Work in a fast-paced, innovative, collaborative and data-driven environment.


What you need to succeed
  • Extremely strong written and verbal communication skills in English. A second language is a plus.
  • A passion for detail, both in how you choose words and in how you see the world.
  • Wide-ranging general knowledge, curiosity, and the ability to learn new areas quickly.
  • Basic knowledge of statistical methods is necessary; familiarity with methods for assessing "inter-annotator accuracy" is a plus.
  • Familiarity with Machine Learning, especially NLP modeling, is a plus.


At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.

If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.

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