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Global Relay

Data Labeler

Vancouver, BC, Canada

Pay: $40,000 - $50,000 CAD
Posting language: English
Posted: Sep 28, 2026

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Original job description

Who we are:

For over 25 years, Global Relay has set the standard in enterprise information archiving with industry-leading cloud archiving, surveillance, eDiscovery, and analytics solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and ensuring compliance with stringent regulations.

Though we offer competitive compensation and benefits and all the other perks one would expect from an established company, we are not your typical technology company. Global Relay is a career-building company. A place for big ideas. New challenges. Groundbreaking innovation. It’s a place where you can genuinely make an impact – and be recognized for it.

We believe great businesses thrive on diversity, inclusion, and the contributions of all employees. To that end, we recruit candidates from different backgrounds and foster a work environment that encourages employees to collaborate and learn from each other, completely free of barriers.

Your role

As a Data Labeler, you will be part of a small, highly focused team responsible for creating high quality training dataset that we use with our models for building the artificial intelligence and machine learning solutions for Global Relay's customers. You will be working with a wide variety of data that includes, but not limited to text, audio, and images. 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.

Your responsibilities

Create high-quality datasets for models by

Gathering: Assist Data Scientist in the gathering of large, representative datasets based on provided criteria.
Labelling: Label text data. This may include labelling for items such as tone, sentiment, or business theme.
Transcribing: Annotate and label audio data. This may include transcribing spoken words, identifying speech segments, and labelling various acoustic features.
Annotation: Add metadata to images, identifying regions of interest.
Classifying: Categorize data into different categories.
Identifying: Identify patterns, trends, and outliers in data.
Creating: Create synthetic data based on patterns, trends, and predictions.
Reviewing: Review your own work, and that of others, to ensure the highest quality and accuracy in our datasets

Continuously improve quality of data releases by

Defining and maintaining taxonomy for the data format

Authoring and maintaining prompts for the model
Reviewing generated dataset for quality and integrity
Defining annotation guidelines for the data format
Testing prompts to verify and improve quality
Benchmarking datasets

Contribute to the data generation program by

Researching on background information to enhance data accuracy
Working as part of an agile team on the data releases
Collaborating with data scientists and developers on the data generation initiative
Providing and accepting feedback on identified issues with data and tools

About you

Minimum one year of experience with data labelling and annotation on various data formats like text, audio, image
Full professional proficiency and fluency in English
Excellent communication and collaboration skills
Strong attention to detail and accuracy
Able to handle ambiguity and changing priorities
Able to follow guidelines and then work independently without constant supervision
Proficient with computers, Microsoft Word and Microsoft Excel
Experience with any of the following is considered an asset:

Data labelling/annotation tools like Label Studio, Audino
Professional proficiency in other languages beyond English
Manual quality assurance for software application and/or games

Compensation:

Global Relay advertises the pay range for this role in compliance with British Columbia’s pay transparency laws. Individual pay rates are determined by evaluating factors such as expertise, skills, education, and professional background.

The range below reflects the expected annual base salary, which is only one element of our comprehensive total rewards package designed to reflect our company pay philosophy, culture and values. We aim to foster an inspiring work environment and support employees' work-life rhythms. We provide a comprehensive extended health benefits program, including virtual healthcare and a wellness allowance. Employees also receive annual allotted vacation days, which increase based on tenure. Other benefits include: Paid sick days, maternity/parental enhancement program, bonus, and an RRSP contribution matching program.

For Vancouver-based employees, we provide a subsidized meal program, courtesy of our talented in-house culinary team!

British Columbia - Base salary range

$40,000 - $50,000 CAD

What you can expect:

At Global Relay, there’s no ceiling to what you can achieve. It’s the land of opportunity for the energetic, the intelligent, the driven. You’ll receive the mentoring, coaching, and support you need to reach your career goals. You’ll be part of a culture that breeds creativity and rewards perseverance and hard work. And you’ll be working alongside smart, talented individuals from diverse backgrounds, with complementary knowledge and skills.

Global Relay is an equal-opportunity employer committed to diversity, equity, and inclusion.

We seek to ensure reasonable adjustments, accommodations, and personal time are tailored to meet the unique needs of every individual.

To learn more about our business, culture, and community involvement, visit www.globalrelay.com.

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More about this job

Responsibilities

The Data Labeler will create high-quality training datasets for AI and machine learning models by labeling text, audio, and image data. They will also collaborate with data scientists to define annotation guidelines, maintain taxonomies, and ensure the integrity of data releases.

Requirements

Candidates must have at least one year of experience in data labeling and annotation across various formats. Proficiency in English, strong attention to detail, and the ability to work independently are essential requirements for this role.

Skills

Data labelling
Data annotation
Transcription
Image metadata
Data classification
Pattern identification
Quality assurance
Taxonomy maintenance
Prompt engineering
Communication
Collaboration
Attention to detail
Microsoft Word
Microsoft Excel
Label Studio
Audino

Benefits

Extended health benefits
Virtual healthcare
Wellness allowance
Paid vacation
Paid sick days
Maternity/parental enhancement program
Bonus
RRSP contribution matching
Subsidized meal program

Visa sponsorship

Not detected in the job text

Keywords

Data Labeling
Data Annotation
Artificial Intelligence
Machine Learning
Cloud Archiving
eDiscovery
Analytics
Transcription
Metadata
Sentiment Analysis
Agile
Label Studio
Audino
Quality Assurance
Taxonomy
Prompt Engineering
Data Scientist
Software Developer
Synthetic Data
Benchmarking

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