Top Tech Jobs & Startup Jobs in Calgary

Reposted One Month AgoSaved
In-Office or Remote
CA
Entry level
Entry level
Machine Learning • Natural Language Processing
Annotate and manage training/test datasets, run model training, evaluate model performance, perform manual QA and error analysis, and refine annotation guidelines for NLP/ML projects.
Top Skills: AsrCommand-Line ToolsData AnnotationLlmMachine LearningNatural Language Processing
One Month AgoSaved
In-Office or Remote
CA
Entry level
Entry level
Machine Learning • Natural Language Processing
Proofread and edit localized content for grammar, syntax, punctuation, consistency, and formatting issues. Translate occasional English content, test web applications and user interfaces on Mac OS X and iOS, document localization bugs, and verify fixes. Execute test cases, clearly communicate reproduction steps, prioritize issues, and collaborate independently or with diverse teams in a fast-paced environment, including occasional non-business hours, weekends, and holidays.
Top Skills: Bug Tracking SystemsiOSMac Os XWeb-Based Applications
One Month AgoSaved
In-Office or Remote
CA
Junior
Junior
Machine Learning • Natural Language Processing
Leads technical and writing teams delivering generative AI products, coordinating customers, data, product, and research teams. Tracks annotator metrics, manages labeling initiatives, creates prompts and responses, develops stakeholder guidelines, and trains teams on LLM and dataset best practices. The role includes customer interaction, quality assurance, and exposure to potentially toxic or sensitive content.
Top Skills: Deep Neural Networks (Dnns)Large Language Models (Llms)PythonReinforcement Learning From Human Feedback (Rlhf)
2 Months AgoSaved
In-Office or Remote
CA
Entry level
Entry level
Machine Learning • Natural Language Processing
Lead linguistic quality for an account: edit and proofread localized content, perform translations and reviews, define quality expectations, run LQAs and RCAs, liaise with Apple SMEs, manage linguistic assets, coach and onboard linguists, track KPIs, and drive corrective actions and arbitration.
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