Remote Data Jobs · Canada

• Label and rank machine learning data to ensure data integrity and quality.
• Audit and correct any inaccuracies in language data, maintaining the highest standard of data accuracy.
• Efficiently complete reading and text-based assignments with high attention to detail.

• Design, develop, and maintain scalable data pipelines for ingestion, parsing, filtering, and optimization of diverse datasets.
• Implement robust data modeling techniques to structure and format datasets for efficient training.
• Collaborate with researchers, engineers, and cross-functional teams to meet the evolving needs of AI models.

In this role, you will partner with the Platform and Product Business Unit Product Management and Engineering organizations to deliver a transformational AI‑first implementation and adoption experience for ServiceNow’s customers. As an AI-Native AI Architect, Delivery Acceleration, you will work with the product, implementation experts, both internal and external, to design, productize, and pilot agentic & generative AI-first setup and implementation experiences.

Focus on financial modelling and finance-based questions, teaching the Cohere model how to perform across a variety of different functions and logic. 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.

You are a seasoned Data Engineer with a passion for designing and implementing enterprise-scale data warehouses and pipelines that power data-driven decisions. You thrive on solving complex problems related to data modeling, governance, and performance, ensuring data is accessible and reliable for millions of users and internal stakeholders. You excel at translating business needs into robust, secure, and scalable data solutions.

Partner with product teams to understand and help develop theories of action which describe testable hypotheses for the impact of new features. Identify and measure success of initiatives through goal setting, forecasting, event instrumentation, monitoring, and ongoing analysis of core outcome metrics. Perform exploratory analyses to extract insights about our teacher & learner behavior and guide our decisions around product roadmap and investments.

The Sr Data Analyst will conduct data analysis to support the development of new product features, establish systems for measuring feature usage and adoption, and report on product feature success. Responsibilities include conducting data analysis and research, communicating results, defining and running product experiments, and creating dashboards to present feature-level usage. Collaboration with stakeholders and understanding data models are also key.

This is a strategic, cross-functional analytics leader role. The individual will own the design, development, and governance of reporting, dashboards, and data insights that guide executive decision-making. They will serve as a key advisor to leadership—analyzing customer, financial, and operational data to uncover trends, optimize strategies, and ensure the department’s actions align with overall business goals.

Juniper Square's data needs are growing rapidly, and as a Senior Data Engineer, your role will be pivotal to evolving existing data and reporting experiences. You’ll build out pipelines to gather data from multiple sources and make it available for analysis. You will shape both internal and external analytics products to help guide business-critical decisions, enhance workflows, and improve decision-making.

We're seeking a GCP Data Analyst to support data validation initiatives and ongoing analytics work. The analyst will work across a variety of data workflows, from validating metrics during system migrations to supporting day-to-day data analysis and reporting needs. You’ll leverage advanced BigQuery features to ensure data integrity and surface meaningful insights.