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Remote Clinical Coding Jobs in Alberta (NOW HIRING)

Fullscript

Staff, Machine Learning Engineer

Calgary, AB · On-site +1

Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations ... Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred ...

Fullscript

Senior DevOps Engineer

Calgary, AB · On-site +1

Fullscript brings together labs, supplements, clinical tools, and operational workflows into one ... Build and manage infrastructure as code using Terraform * Develop and optimize CI/CD pipelines to ...

All JobsClinical Coding JobsRemote Clinical Coding JobsRemote Clinical Coding Jobs in Alberta

Remote Clinical Coding information

See Alberta salary details

$12

$40

$78

How much do remote clinical coding jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote clinical coding in Alberta is $40.56, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $50.48 per hour, depending on experience, location, and employer.

Will AI replace clinical coders?

AI can assist clinical coders by automating routine coding tasks and improving accuracy, but it is unlikely to fully replace them. Human oversight remains essential for complex cases, interpretation of medical records, and ensuring compliance with coding standards. Clinical coders' expertise and critical thinking are vital in maintaining coding quality and accuracy.

What is the difference between Remote Clinical Coding vs Remote Medical Billing?

AspectRemote Clinical CodingRemote Medical Billing
Required CredentialsCertification in coding (e.g., CPC, CCS)Billing and coding knowledge, often with certification
Work EnvironmentHealthcare facilities, remote coding companiesHealthcare providers, billing companies, remote setups
Industry UsageHospitals, clinics, insurance companiesHospitals, physician practices, insurance firms
Common Search/ComparisonYesYes

Remote Clinical Coding involves translating medical records into standardized codes for billing and record-keeping, requiring coding certifications. Remote Medical Billing focuses on submitting claims and managing payments, often requiring billing knowledge. Both roles are remote, industry-specific, and frequently compared by job seekers.

What is remote clinical coding?

Remote clinical coding is the process of reviewing and translating patients’ medical records into standardized codes from a location outside of a traditional healthcare facility, such as from home. These codes are used for billing, insurance claims, and healthcare data analysis. Remote clinical coders use specialized software to ensure accuracy and compliance with healthcare regulations. This role requires a strong understanding of medical terminology, coding systems like ICD-10 and CPT, and attention to detail. Remote positions offer flexibility and the ability to work independently while maintaining confidentiality and data security.

What pays more, CCS or CPC?

In clinical coding, Certified Coding Specialists (CCS) typically earn higher salaries than Certified Professional Coders (CPC) due to their advanced certification and expertise in hospital and inpatient coding. However, CPCs often have more flexibility working remotely and may have a broader range of outpatient coding opportunities. Salary differences can also depend on experience, location, and employer requirements.

How to make $1000 a week remote?

Remote clinical coders can earn $1000 or more per week by working full-time hours, often 40 or more hours, and gaining experience or specialized certifications like CPC or CCS. Increasing productivity, working for multiple clients, or taking on overtime can also boost weekly income in this field.

What are the key skills and qualifications needed to thrive as a Remote Clinical Coder, and why are they important?

To thrive as a Remote Clinical Coder, you need comprehensive knowledge of medical terminology, anatomy, and coding systems such as ICD-10-CM/PCS, CPT, and HCPCS, typically supported by certification (e.g., CPC, CCS, or CCA) and relevant healthcare experience. Familiarity with electronic health records (EHRs), coding software, and secure remote work platforms is essential. Strong attention to detail, self-motivation, and excellent time management are crucial soft skills for remote accuracy and productivity. These competencies ensure precise medical coding, compliance, and optimized reimbursement in a remote healthcare environment.

Can a medical coder work remotely?

Yes, remote clinical coding is common in the healthcare industry. Medical coders can perform their tasks from home using coding software and electronic health records, often requiring certification and strong attention to detail. Many employers offer flexible or fully remote positions for qualified coders.

What are some common challenges faced by remote clinical coders, and how can they be effectively managed?

Remote clinical coders often face challenges such as limited immediate access to colleagues for clarifying documentation, staying updated on changing coding regulations, and maintaining productivity without direct supervision. To manage these, it's important to establish regular virtual check-ins with the team, utilize reliable reference materials, and participate in ongoing training sessions. Leveraging secure communication platforms and setting clear daily goals can also help remote coders stay connected and efficient.
What are popular job titles related to Remote Clinical Coding jobs in Alberta? For Remote Clinical Coding jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Remote Clinical Coding jobs in Alberta look for? The top searched job categories for Remote Clinical Coding jobs in Alberta are:
Remote Clinical Coding jobs near you

Staff, Machine Learning Engineer

Fullscript

Calgary, AB • On-site, Remote

Full-time

Retirement, PTO

Re-posted 19 days ago

Job description

About Fullscript

We're an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.

That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.

We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.

This is your invitation.

Bring your ideas, your grit, and your care for people.
Join us and shape the future of care.
The Opportunity

We're hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscript's AI-powered experiences. You'll work on building innovative AI capabilities that help clinicians provide better services and help patients improve their health.

This is a senior individual contributor role for someone who can go beyond implementation. In addition to building high-quality systems, you'll help define technical direction, guide architecture decisions, and identify where AI can create meaningful value in clinical workflows. You'll work with a high degree of autonomy and partner closely with engineering, product, analytics, and medical stakeholders to deliver scalable, reliable, and clinically useful AI experiences.

What you'll do
  • Lead the design, development, and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that support follow-up questions and reasoning over clinical context
  • Own backend services in Python that integrate LLM agents with Fullscript's platform and support reliable production use
  • Help define technical direction for prompting, grounding, safety, and orchestration strategies used across clinical AI workflows
  • Establish and improve evaluation approaches for LLM outputs, including accuracy, hallucinations, edge cases, and overall feature quality
  • Shape engineering patterns for model-related workflows, including testing, CI/CD, observability, and version control
  • Partner with medical, product, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities
  • Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data and system design support clinical use cases
  • Provide technical leadership across projects by creating clarity in ambiguous problem spaces, guiding tradeoff decisions, and raising the quality bar for the team
  • Stay current with the latest LLM research and emerging AI technologies, and help assess where they can be applied effectively at Fullscript
What you bring to the table
  • 6+ years of experience building and implementing machine learning applications in production, including meaningful experience with LLM-powered agents, conversational experiences, or agent-based workflows
  • A track record of owning complex technical problems end to end and shaping implementation beyond your immediate code contributions
  • Experience designing and deploying AI systems that answer open-ended questions, support follow-up interactions, and operate reliably in production
  • Strong experience with LLM application frameworks and tooling, such as LangChain, LangGraph, or similar orchestration and RAG frameworks
  • Familiarity with evaluation and monitoring frameworks for LLM outputs, conversational quality, and system reliability
  • Knowledge of MCP, agent orchestration patterns, or related approaches for building multi-step AI systems
  • Strong proficiency in Python and SQL
  • Experience making sound technical decisions around quality, safety, maintainability, and scalability in production AI systems
  • Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical stakeholders
Bonus if you have
  • Experience defining technical direction for AI or machine learning systems across multiple projects or teams
  • Experience building clinician-facing, healthcare-adjacent, or other high-trust AI experiences
  • Experience with recommendation systems, personalization, or other applied ML systems beyond LLMs
  • Experience with modern retrieval, grounding, or evaluation patterns for LLM applications
  • Experience working closely with domain experts to build systems in complex or highly contextual problem spaces
What we can offer you
  • Competitive Salaries
  • Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
  • Flexible PTO and competitive pay, because work-life balance matters
  • RRSP/401k match and stock options to invest in your future
  • Premium benefits package with customizable coverage, paramedical services, and an HSA.
  • Fullscript discounts to save on high-quality wellness products
  • Continuous learning opportunities to grow your skills and career

Fullscript shares salary ranges to support transparency and help candidates make informed decisions. The range shown reflects base salary only and does not include stock options, wellness stipends, or other benefits that are part of Fullscript's total rewards package.

Final compensation depends on experience, skills, and location. We review pay regularly to stay aligned with market data and internal equity. Benefits and total rewards may vary by region.

Why Fullscript

Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.

What to Know Before You Apply

We're grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page.

A quick note: Due to the high volume of applications, we're not able to respond to phone or email inquiries about application status. If there's a match, our team will reach out directly.

Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at [email protected].

All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.

We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.

Learn More
www.fullscript.com
@fullscriptHQ on instagram
@fullscript on YouTube
FullScript on LinkedIn
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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