Description

Workable makes software to assist companies discover and hire remarkable people. We get recruiting and its function in building wholesome workplaces — that’s why we’re proud more than 20,000 groups around the world use Workable to do exactly that.

And whilst we take recruiting seriously, we don’t take ourselves too seriously. At Workable, you’ll discover smart people who’ve fun, examine and innovate, and assist others do the same. We brainstorm, we laugh, and, occasionally, we party (there’s loads to celebrate), but we also respect people’s need for quiet time and targeted work. We recognize everyone, we rent the best, and make sure every experience is special.

We’re growing fast, in both headcount and revenue, and we’re seeking out a remote, project-primarily based Data Annotator to work with our records science team and carry out annotation on huge textual information sets.

It is an possibility to sign up for a world-class software business enterprise and a notable group that passionately believes in what it does, and to paintings on difficult tasks that impact thousands of business enterprise users.

Your responsibilities can also include:

Identification and labeling of named entities in sentences which include companies, locations, task titles, and skills.
Classifying documents in one of a kind categories.
Validating the output of Machine Learning models.
Identifying not unusual patterns in datasets.

Requirements

A top notch deal of reliability and attention to detail
Solid business enterprise skills
Ability to work independently and efficiently
A university degree (or to study), ideally 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 different languages
Copywriting or copy-editing revel in
Experience as a translator (either from or to English)
A history in linguistics
Prior enjoy with linguistic annotation
Prior enjoy in software great assurance (QA)
Prior revel in with annotation equipment and platforms which include Crowdflower, Mechanical Turk, Brat, GATE, Prodigy
Knowledge of ontologies, semantic net and text markup languages