Data Annotator/ AI Data Trainer - STEM (part-time)

Cohere
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Job Description

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech.

This role will have you focus on one of 2 specializations - code/engineering or science and math.

Please Note: This is a part-time contract position based out of our Toronto office. We are looking for candidates who are able to commit to 20 hours per week at a $30-40/hour contract rate (commensurate with experience). Our Toronto office is dog-friendly, conveniently located, and has a great snack selection. This role is BYOD

Company Info.

Cohere

Cohere is a Canadian startup that provides natural language processing models that help companies improve human-machine interactions. Cohere was founded in 2019 by Aidan Gomez, Ivan Zhang, and Nick Frosst.

  • Industry
    Computer software,Natural Language Processing
  • No. of Employees
    50
  • Location
    Toronto, ON, Canada
  • Website
  • Jobs Posted

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