Data Labeler

Global Relay has been a leader in enterprise information archiving for over 25 years, providing innovative cloud solutions. As a Data Labeler, you will create high-quality training datasets for AI and machine learning models, collaborating closely with data scientists and software developers to ensure data accuracy and quality.

Responsibilities

• Create high-quality datasets for models byGathering: 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 datasetsContinuously improve quality of data releases byDefining and maintaining taxonomy for the data formatAuthoring and maintaining prompts for the modelReviewing generated dataset for quality and integrityDefining annotation guidelines for the data formatTesting prompts to verify and improve qualityBenchmarking datasetsContribute to the data generation program byResearching on background information to enhance data accuracyWorking as part of an agile team on the data releasesCollaborating with data scientists and developers on the data generation initiativeProviding and accepting feedback on identified issues with data and tools

Skills

• 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

Benefits

• Comprehensive extended health benefits program, including virtual healthcare and a wellness allowance
• Annual allotted vacation days, which increase based on tenure
• Paid sick days
• Maternity/parental enhancement program
• Bonus
• RRSP contribution matching program
• Subsidized meal program, courtesy of our talented in-house culinary team

Company Overview