Data Annotator (Project-based)

Greece Engineering

Workable makes software to help companies find and hire great people. We get recruiting and its role in building healthy workplaces — which is why we’re proud more than 20,000 teams around the world use Workable to do exactly that.

And while we take recruiting seriously, we don’t take ourselves too seriously. At Workable, you’ll find smart people who have fun, learn and innovate, and help others do the same. We brainstorm, we laugh, and, occasionally, we party (there’s a lot to celebrate), but we also appreciate people’s need for quiet time and focused work. We respect everyone, we hire the best, and make sure every experience is special.

We’re growing fast, in both headcount and revenue, and we’re looking for a remote, project-based Data Annotator to work with our data science team and perform annotation on large textual data sets.

It is an opportunity to join a world-class software company and a great team that passionately believes in what it does, and to work on challenging tasks that impact thousands of enterprise users.

Your responsibilities may include:

  • Identification and labeling of named entities in sentences such as companies, locations, job titles, and skills.
  • Classifying documents in different categories.
  • Validating the output of Machine Learning models.
  • identifying common patterns in datasets.

Requirements

  • A great deal of reliability and attention to detail
  • Solid organization skills
  • Ability to work independently and efficiently
  • A university degree (or to study), preferably in linguistics or in a humanities subject
  • Oral and written proficiency in English
  • Special consideration will be given if a candidate has any of the following:

    • Proficiency in other languages
    • Copywriting or copy-editing experience
    • Experience as a translator (either from or to English)
    • A background in linguistics
    • Prior experience with linguistic annotation
    • Prior experience in software quality assurance (QA)
    • Prior experience with annotation tools and platforms such as Crowdflower, Mechanical Turk, Brat, GATE, Prodigy
    • Knowledge of ontologies, semantic web and text markup languages

Workable

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