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Remote Rn Chart Review Jobs in Toronto, ON (NOW HIRING)

Oracle RMS

Personal Lines Manager

Concord, ON · Remote

CA$85K - CA$110K/yr

Perform quality reviews on team members to record staff development. * Perform monthly individual ... range from remote / hybrid/ in-office. Requirements * Having a Registered Insurance Brokers of ...

Architecture49

Architect

Toronto, ON · On-site +1

CA$80K - CA$107K/yr

Perform internal reviews and quality checks of the models and drawings to ensure compliance with ... Travel to remote First Nation communities and work sites. * Qualifications * Registered architect ...

Architecture49

Senior Architect

Toronto, ON · On-site +1

CA$110K - CA$146K/yr

Perform internal reviews and quality checks of the models and drawings to ensure compliance with ... Travel to remote First Nation communities and work sites. Qualifications * Registered architect in ...

Levio

ML/AI Engineer

Toronto, ON · On-site +1

CA$110K - CA$150K/yr

The role will be remote. Why Join Levio? * Work on complex,high impactdigital transformation ... Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary

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Remote Rn Chart Review information

See Toronto, ON salary details

$15

$34

$61

How much do remote rn chart review jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote rn chart review in Toronto, ON is $34.94, according to ZipRecruiter salary data. Most workers in this role earn between $27.53 and $38.08 per hour, depending on experience, location, and employer.

What is a remote RN chart review?

A Remote RN Chart Review is a nursing role where registered nurses review and analyze patient medical records from a remote location, rather than working on-site at a hospital or clinic. These nurses assess documentation for accuracy, completeness, and compliance with healthcare regulations. Their work helps ensure quality care, proper coding for billing, and adherence to legal standards. Remote chart reviewers often work for insurance companies, healthcare organizations, or third-party vendors, using secure digital platforms to access and evaluate patient charts.

How can I get a remote job as a chart review RN?

The qualifications to get a remote job as a chart review nurse include a nursing degree, a nursing license, and experience using medical records and coding systems. You can start out on this career path by becoming a registered nurse (RN) or a practical nurse (LPN). This process involves earning an associate or bachelor’s degree in nursing and passing the NCLEX-RN licensing exam. It’s essential to have strong communication and analytical skills, attention to detail, and a reliable computer with internet access to work from home. Earning certification from the American Association of Medical Audit Specialists or the American Academy of Professional Coders is a plus.

What are the key skills and qualifications needed to thrive as a remote RN chart review, and why are they important?

To thrive as a Remote RN Chart Review, you need a thorough understanding of clinical guidelines, patient care documentation, and medical coding, supported by an active RN license and experience in clinical settings. Proficiency with electronic medical records (EMR) systems, chart auditing tools, and sometimes certification in coding (like CPC or CCS) is often required. Strong attention to detail, analytical thinking, and effective written communication are vital soft skills for accurately reviewing and summarizing medical records. These skills and qualifications ensure the accuracy and compliance of patient documentation, which is critical for quality assurance and regulatory standards in healthcare.

What are some common challenges faced by remote RN chart review nurses, and how can they be overcome?

Remote RN Chart Review nurses often encounter challenges such as managing large volumes of medical records, ensuring data accuracy, and maintaining effective communication with healthcare teams from a distance. Staying organized and utilizing electronic health record (EHR) systems efficiently can help manage workload and prevent errors. Proactive communication through secure messaging or virtual meetings is crucial for clarifying documentation and collaborating with physicians and other staff. Additionally, ongoing training in compliance and evolving chart review standards can help nurses stay current and confident in their role.

What is the difference between Remote Rn Chart Review vs Remote LPN Chart Review?

AspectRemote Rn Chart ReviewRemote LPN Chart Review
CredentialsRegistered Nurse (RN) licenseLicensed Practical Nurse (LPN) license
Work EnvironmentHealthcare facilities, insurance companies, telehealthSimilar settings, often with more limited scope
Job ResponsibilitiesComprehensive chart review, complex case analysisBasic chart review, documentation verification

Remote Rn Chart Review and Remote LPN Chart Review both involve reviewing patient records remotely. However, RNs typically handle more complex cases requiring a broader scope of practice and higher credentials, while LPNs focus on more routine documentation tasks. Both roles are essential in healthcare documentation and insurance claims, but RNs generally have more advanced responsibilities and qualifications.

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Remote Rn Chart Review jobs near you
Infographic showing various Remote Rn Chart Review job openings in Toronto, ON as of September 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution, with an average salary of $72,669 per year, or $34.9 per hour.

Cloud Engineer ( Azure Platform Engineer)- Remote Ontario

Toronto, ON • Remote

Smile Digital Health
See more jobs at Smile Digital Healthexternal

Full-time

Medical, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Working for a company like Smile Digital Health means supporting our mandate for #BetterGlobalHealth. We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 20 countries. We were #19 on Deloitte's Technology Fast 50 Ranking for 2024! 
 
Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform.
 
At its heart, the Smile platform enables people and organizations to better manage healthcare data. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing  #BetterGlobalHealth to patients everyday!

Apply today and find plenty of reasons to SMILE!

The Azure Platform Engineer is responsible for designing, deploying, and operating production-grade Azure Kubernetes Service (AKS) clusters, with a strong focus on cluster internals, networking, security hardening, and reliability. This role owns the platform end-to-end from cluster architecture and CI/CD through to performance tuning, observability, and incident response for critical systems. Acting as the SME for Kubernetes deployments, blockers, and production issues. The successful candidate works closely with application, security, and platform teams to keep AKS environments reliable, observable, and production-ready.

Responsibilities:
  • Act as the subject-matter expert (SME) for Kubernetes deployments, troubleshooting, and production issues across all environments.
  • Design and deploy Azure Kubernetes Service (AKS) clusters with private cluster configurations, managed identities, and RBAC.
  • Own the health, scaling, and lifecycle management of production AKS clusters, including upgrades, node pool management, autoscaling, and capacity planning.
  • Configure AKS networking, including Azure CNI, internal load balancers, and ingress controllers (NGINX, Traefik).
  • Design and maintain integrations between AKS with Azure Container Registry (ACR), Key Vault via CSI driver, Azure Monitor for containers, Azure SQL, Kafka/Event Hubs, Azure Storage, and other client-facing dependencies (DNS resolution, firewall rules, private endpoints, and service connectivity).
  • Manage containerized application deployments using Docker and Helm; maintain reusable chart and templating standards, namespaces, resource quotas, and Azure Policy for AKS. 
  • Harden AKS environments through policy enforcement, network policies, and image scanning.
  • Own container and cluster vulnerability management: scanning, triage, prioritization, and remediation coordination with engineering teams.
  • Contribute to Terraform-based infrastructure as code for provisioning and managing Azure resources.
  • Support Azure DevOps (or equivalent) CI/CD pipelines, including GitOps workflows (Flux/ArgoCD), to reduce deployment risk and improve release velocity.
  • Design, implement, and manage observability across the Grafana stack (Prometheus, Loki, Tempo) and Azure-native tooling (Azure Monitor, Log Analytics Workspace, Application Insights) for critical systems; define SLIs/SLOs and tune alerting to reduce noise.
  • Collaborate with performance engineering and application teams to identify, diagnose, and resolve performance bottlenecks spanning the AKS platform and its dependent services (database, messaging, network) to right-size node pools and workloads based on observed performance and utilization trends.
  • Contributing to Disaster Recovery and Business Continuity Planning (DR/BCP) procedures for AKS-hosted workloads, including cross-team failover drill participation and RTO/RPO validation.
  • Provide escalation support for production Kubernetes and infrastructure incidents; participate in on-call rotation, lead root-cause analysis, and drive preventative follow-up actions.
  • Document runbooks and post-incident reviews, and operational knowledge; maintain a living knowledge base to reduce tribal knowledge.
  • 5+ years of hands-on Kubernetes experience, including at least 2 years running AKS in production.
  • Strong knowledge of Kubernetes internals scheduling, networking, storage, RBAC.
  • Proficiency in Azure CNI networking and AKS private cluster configuration.
  • Hands-on experience integrating AKS with Azure PaaS services (ACR, AKV, Azure SQL, Kafka and Managed Identities) and troubleshooting network-layer dependencies (DNS, firewall, private endpoints).
  • Experience with Helm and GitOps workflows (Flux/ArgoCD).
  • Working knowledge of Terraform for infrastructure as code.
  • Working knowledge of Azure DevOps or similar CI/CD tooling.
  • Hands-on experience implementing and operating observability platforms: Grafana stack (Prometheus, Loki, Tempo) and Azure-native monitoring (Azure Monitor, Log Analytics, Application Insights); experience defining SLIs/SLOs for production systems.
  • Practical experience with container/cluster vulnerability management and remediation workflows.
  • Scripting skills in Bash, Python.
  • Certified Kubernetes Administrator (CKA), Or CKAD certification and Microsoft Certified: Azure Administrator (AZ-104) required.
  • Excellent written and verbal communication skills; able to convey technical issues clearly to both technical and non-technical stakeholders.
$115,000 - $130,000 a year
Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support - not replace - fair and equitable hiring practices. 
This position is a new role, created to support Smile's continued growth and commitment to operational excellence.

Some of the benefits we offer:
* Remote Work Environment
* Flexible Time Away From Work Policy including PTO, Personal and Sick Days
* Competitive Salary and Health/Medical Benefits
* RRSP/TFSA/401K Employee Contribution
* Life and Disability
* Employee Assistance Program
* FHIR Study Program and Skillsoft Learning
* Super HAPI Fun Club

Smile's core values include respect, inclusion, embracing our differences, and celebrating shared values because our people are the foundation of our success. We are big on creating a sense of belonging and empowering each other to bring our authentic selves to work.  We are dedicated to fostering a workplace that values diversity, equity, and inclusion.
 
We welcome and encourage candidates of all backgrounds to apply. Candidates are encouraged to inform us if they wish to discuss or require accommodations during interviews or while working at Smile.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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