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Internship Remote Medical Coding Apprentice Jobs in Toronto, ON

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... coding, optimization, and ideation Preferred Qualifications Experience with medical imaging ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... coding, optimization, and ideation Preferred Qualifications Experience with medical imaging ...

Lakeview Loan Servicing

Backend Engineer

Toronto, ON · Remote

CA$140K - CA$240K/yr

... code practices to deploy, manage, and improve production services. In parallel, this individual ... This is a fully remote position that offers a competitive salary range of $140,000 to $240,000 USD ...

Waabi

Research Scientist, Neural Reconstruction

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... interns; foster a culture of scientific rigor and rapid experimentation. - Stay current with ... Bonus: - Proven ability to translate research into production-quality code and measurable product ...

Waabi

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

Bonus: - Proven ability to translate research into production-quality code and measurable product ... Medical, Dental and Vision coverage (for full-time employees only). - Unlimited Vacation ...

RevStar

Account Executive

Toronto, ON · Remote

At RevStar, we foster a collaborative, remote-first culture where teams freely share ideas ... Comprehensive Health Coverage - Medical, Dental, Vision * 401(k) Retirement Plan - Plan for your ...

RevStar

Account Executive

Toronto, ON · Remote

At RevStar, we foster a collaborative, remote-first culture where teams freely share ideas ... Comprehensive Health Coverage - Medical, Dental, Vision * 401(k) Retirement Plan - Plan for your ...

LocalStack

Technical Account Manager

Toronto, ON · Remote

Hands-on experience with Infrastructure as Code (IaC) and application development frameworks (e.g ... Fully remote * Competitive salary * Unlimited PTO * 401k and private medical * Annual company ...

Tt

Acoustics Project Engineer

Mississauga, ON · On-site +1

CA$90K - CA$110K/yr

Medical & Dental Insurance * Long Term Disability Insurance * Fitness reimbursement * Retirement ... Flexible remote and international work schedule * Internal mobility * Discretionary pay * ACE ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

... as-code practices to deploy, manage, and improve data pipelines and data platforms. In parallel ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

LocalStack

Sales Engineer

Toronto, ON · Remote

Hands-on experience with Infrastructure as Code (IaC) and application development frameworks (e.g ... Fully remote * Competitive salary * Unlimited PTO * 401k and private medical * Annual company ...

LocalStack

Head of Technical GTM

Toronto, ON · Remote

$220K - $340K/yr

Hands-on with Infrastructure as Code (IaC) and application development frameworks (e.g., Terraform ... Fully remote * Competitive salary * Unlimited PTO * 401k and private medical * Annual company ...

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All JobsMedical Coding Apprentice JobsInternship Remote Medical Coding Apprentice JobsInternship Remote Medical Coding Apprentice Jobs in Toronto, ON

Internship Remote Medical Coding Apprentice information

What are the key skills and qualifications needed to thrive as a remote medical coding apprentice?

To thrive as a Remote Medical Coding Apprentice, foundational knowledge of medical terminology, anatomy, and ICD-10/CPT coding principles is essential, often supported by coursework or a medical coding certificate in progress. Familiarity with electronic health record (EHR) systems, coding software, and HIPAA compliance is typically required. Attention to detail, strong organizational skills, and effective written communication help apprentices excel in remote environments. These abilities ensure accurate coding, compliance with regulations, and smooth healthcare reimbursement processes.

What is the difference between Internship Remote Medical Coding Apprentice vs Medical Coding Specialist?

AspectInternship Remote Medical Coding ApprenticeMedical Coding Specialist
CredentialsTypically in training, may have basic certifications like CPCCertified Professional Coder (CPC) or equivalent required
Work EnvironmentRemote internship, supervised learningFull-time remote or on-site coding roles
Employer UsageTraining position for entry-level candidatesProfessional coding role for healthcare providers
Search/Comparison IntentLearning and entry-level opportunitiesProfessional coding responsibilities

The Internship Remote Medical Coding Apprentice is a training position designed for individuals starting their coding careers, often with basic certifications and supervised work. In contrast, a Medical Coding Specialist is a fully qualified professional responsible for accurately coding medical records, usually requiring certification and experience. The apprentice role focuses on learning, while the specialist role involves independent work and higher responsibility.

What is a remote medical coding apprentice internship?

A remote medical coding apprentice internship is an entry-level position designed to help individuals learn and gain practical experience in medical coding while working from home. Interns typically assist experienced coders by reviewing medical records and assigning standardized codes for diagnoses and procedures, which are crucial for billing and insurance purposes. This role provides on-the-job training, exposure to healthcare documentation, and can be a pathway to certification and full-time employment in the field. Remote internships offer flexibility and the opportunity to work with healthcare organizations virtually.

What are some common challenges faced by remote medical coding apprentices during their internship, and how can they be addressed?

Remote medical coding apprentices often face challenges such as limited direct supervision, difficulty accessing real-time feedback, and adapting to industry-specific software from home. To address these, it's important to proactively communicate with mentors, take initiative in seeking clarification, and participate in virtual team meetings or training sessions. Setting up a dedicated workspace and establishing a clear daily routine can also help manage workload and reduce distractions while working remotely.
What are popular job titles related to Internship Remote Medical Coding Apprentice jobs in Toronto, ON? For Internship Remote Medical Coding Apprentice jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Internship Remote Medical Coding Apprentice jobs in Toronto, ON look for? The top searched job categories for Internship Remote Medical Coding Apprentice jobs in Toronto, ON are:
Internship Remote Medical Coding Apprentice jobs near you
Infographic showing various Internship Remote Medical Coding Apprentice job openings in Toronto, ON as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 14% In-person, and 86% Remote job distribution.

Senior Machine Learning Engineer

Career Renew

Toronto, ON • Remote

$165K - $225K/yr

Full-time

Re-posted 15 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.