Data Specialist

• Analyze, cleanse, validate, and reconcile master data and financial data for migration into NetSuite
• Design and document repeatable post-go-live data quality, governance, validation, and ownership processes
• Verify migrated data against source systems and resolve discrepancies
• Support user acceptance testing and trial data loads in the sandbox
• Partner with Finance stakeholders to reconcile trial balances, AR/AP subledgers, and item catalogs
• Support final migration of master data and opening balances
• Deliver documented Data Governance SOPs for long-term data quality
• Coordinate implementation workstreams and stakeholders to keep the ERP implementation on track

ERP Data Specialist helping BinSentry migrate clean financial data into NetSuite

ERP Data Specialist – 6-Month Contract

ERP Data Specialist helping BinSentry, an AI-powered ag-tech company, migrate master and financial data into NetSuite. Coordinating implementation and ensuring accurate, reconciled records.

• Evaluate and rank model outputs: Complete preference and comparison tasks, assessing which responses best conform to project guidelines for accuracy, helpfulness, tone, and safety, and writing clear justifications for your judgments.
• Stress-test and break models: Probe models adversarially to surface failure modes, unsafe behavior, and capability gaps, and document reproducible cases that engineering and research teams can act on.
• Create datasets: Author high-quality prompts, responses, and exemplars to build training and evaluation datasets, following detailed specifications and editing machine-written or human-written outputs to standard.
• Build and apply rubrics and taxonomies: Contribute to the design of grading criteria and rubrics, then apply them consistently to produce structured, high-quality annotations across task types.
• Annotate and correct multimodal data: Label, audit, and rectify inaccuracies across text, image, and structured data, maintaining a high standard of data integrity and accuracy.
• Calibrate and maintain consistency: Participate in calibration exercises and inter-annotator agreement checks to align on standards, and flag ambiguous or uncovered edge cases rather than guessing, since a single misjudgment replicated at scale degrades a model.
• Adapt to experimental work: Take on new and evolving task types as project needs shift, applying sound judgment in areas where guidelines are still being developed.
• Report on model performance: Surface and communicate quality and performance trends in model and agent behavior, giving cross-functional partners clear, well-evidenced feedback on where models succeed, fail, and degrade.

Data Annotation Specialist reviewing and assessing AI model outputs in a remote contract role

Data Annotation Specialist – Generalist

Data Annotation Specialist reviewing, assessing, and improving AI model outputs in a remote contract role. Contributing to high-impact annotation projects for a security-focused AI company.

• Capture and translate customer processes
• Structure data and build the analytics foundation
• Turn data into product insight
• Be a technical face of the company externally

Data Acquisition Specialist translating customer processes for Sunrise Robotics

Data Acquisition Specialist

Data Acquisition Specialist translating manufacturing processes into analytics for Sunrise Robotics. Building data infrastructure while interfacing with technical stakeholders and capturing requirements.

• Leading Data Automation & Integration Solutions: leading the design, development, and maintenance of scalable automation workflows and data integrations across internal systems (e.g., CRM platforms, Microsoft Purview, Data Fabric/OneLake).
• Delivering Reporting, Analytics & Business Insights: developing and maintaining dashboards, reports, and analytics solutions using Power BI, Excel, and related technologies.
• Acting as a Trusted Advisor to Business Stakeholders: critically assessing and validating data used in financial, operational, and strategic decision-making.
• Advancing Data Quality, Governance & Compliance: establishing and maintaining robust data validation, reconciliation, and quality control frameworks across internal and external data sources.
• Driving Continuous Improvement & Innovation: identifying opportunities to leverage automation, AI, and advanced analytics to improve business processes.
• Supporting and Oversees Reporting Infrastructure: managing and supporting the ongoing performance, maintenance, and enhancement of automated reporting environments, ensuring reliability, scalability, and alignment with evolving business needs.

Senior Technical Specialist, Data Automation delivering data solutions at Ontario Medical Association

Senior Technical Specialist, Data Automation

Senior Technical Specialist, Data Automation responsible for delivering automated data solutions at Ontario Medical Association. Leading data automation and integration projects while ensuring data quality and governance.

Data Specialist jobs in Canada

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ERP Data Specialist – 6-Month Contract

Data Annotation Specialist – Generalist

Data Acquisition Specialist

Senior Technical Specialist, Data Automation