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Remote Clinical Data Coding Jobs in Toronto, ON (NOW HIRING)

Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

AI Trainer - Remote

Toronto, ON · Remote

$80 - $120/hr

Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Senior Manager, Data Engineering

Toronto, ON · On-site +1

CA$142K - CA$177K/yr

You will be based in our Toronto office, balancing in-office collaboration with remote flexibility ... Drive adoption of Infrastructure as Code (IaC), deployment automation, and engineering best ...

Oversee protocol development, statistical analysis plans, and data collection frameworks * Manage ... Remote-first, real overlap Our FTEs are based in North America and work core hours from 9am-6pm CST ...

Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

AI/ML Engineer - Remote

Toronto, ON · Remote

$200 - $350/hr

Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

Showing results 41-60

Remote Clinical Data Coding information

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

AspectRemote Clinical Data CodingRemote Medical Billing and Coding
CredentialsCertification in Clinical Data Coding (e.g., CCS, CPC)Certification in Medical Billing and Coding (e.g., CPC, CBCS)
Work EnvironmentHealthcare facilities, research organizations, insurance companiesHospitals, clinics, insurance companies
Industry UsageClinical research, healthcare data managementPatient billing, insurance claims processing
Search IntentFocus on clinical data, research codingFocus on billing, claims, reimbursement

Remote Clinical Data Coding involves translating clinical research data into standardized codes for analysis, often requiring specific certifications. Remote Medical Billing and Coding focuses on processing insurance claims and patient billing. While both roles involve coding and certifications, they serve different functions within healthcare and are used in different settings.

What are popular job titles related to Remote Clinical Data Coding jobs in Toronto, ON?

For Remote Clinical Data Coding jobs in Toronto, ON, the most frequently searched job titles are:

Frontend Developer - Remote

YO AI Labs

Toronto, ON • Remote

$80 - $120/hr

Full-time

Posted 10 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.