Data Labeler

Globalrelay

Vancouver, Canada
Base: $40,000 - $50,000 cad; bonus/equity: bonus; ...
On-site
High quality training datasets
Label text data
Annotate audio data
As a Data Labeler, you will be part of a small, highly focused team responsible for creating high quality training datasets that we use with our models for building artificial intelligence and machine learning solutions

Job Summary

  • As a Data Labeler, you will be part of a small, highly focused team responsible for creating high quality training datasets that we use with our models for building artificial intelligence and machine learning solutions.
  • You will have an opportunity to collaborate closely with some of the best data scientists and software developers in Vancouver and apply your craft in an environment that encourages creative thinking and collaboration.
  • We provide a comprehensive extended health benefits program, including virtual healthcare and a wellness allowance.

Matching Summary

As a Data Labeler, you will be part of a small, highly focused team responsible for creating high quality training datasets that we use with our models for building artificial intelligence and machine learning solutions.

Salary

Base: $40,000 - $50,000 CAD; Bonus/Equity: Bonus; Benefits: Comprehensive extended health benefits program, virtual healthcare, wellness allowance, annual allotted vacation days, paid sick days, maternity/parental enhancement program, RRSP contribution matching program, subsidized meal program

Skills & Requirements

Must-have

  • high quality training datasets
  • label text data
  • annotate audio data
  • add metadata to images
  • classify data into categories
  • identify patterns and trends
  • review work for accuracy
  • define and maintain taxonomy
  • author and maintain prompts
  • research background information
  • work in an agile team
  • collaborate with data scientists
  • proficient with computers and Excel

Nice-to-have

  • creative thinking and collaboration
  • handle ambiguity and changing priorities
  • work independently without supervision
  • experience with data labeling tools
  • professional proficiency in other languages
  • manual quality assurance experience

Key Requirements

  • Minimum one year of experience with data labelling and annotation
  • Full professional proficiency and fluency in English
  • Excellent communication and collaboration skills
  • Strong attention to detail and accuracy

Work Rights

Not specified

Tailored Resume

Cover Letter