1

Data Coder Jobs in Toronto, ON (NOW HIRING)

Data Engineer (Coding Agent Experience) Type: Contract Compensation: $80/hour Location: Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering ...

Data Engineer, Data Platform

Toronto, ON

CA$85K - CA$100K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

This is a hands-on engineering role for someone who thrives in code, designing and delivering high-quality data pipelines, APIs, and integrations using modern Python-based tools. We are especially ...

Data Architect (AWS, Data & AI)

Toronto, ON ยท On-site

CA$94K - CA$176K/yr

  • Medical

  • Life

  • Retirement

Technology Please note this is a Senior Architect role; hands on coding experience is a must ... Provide expert advice regarding AI and Data architecture in critical programs and initiatives.

Data Engineer II

Toronto, ON ยท On-site

CA$81K - CA$115K/yr

  • Medical

  • Retirement

  • PTO

Execute & approve code check-in/ check-out into source code repository as part of source code ... Lead data engineering initiatives and capabilities, data governance principles and how they apply ...

Data Scientist

Toronto, ON ยท On-site

CA$80K - CA$120K/yr

  • Medical

  • Retirement

As a Data Scientist on the Fraud Data Science team , you'll work closely with a wide range of ... Design, develop, test, and deploy scalable, productionready code and machine learning models.

Data Scientist

Markham, ON

CA$80K - CA$120K/yr

  • Medical

  • Retirement

As a Data Scientist on the Fraud Data Science team , you'll work closely with a wide range of ... Design, develop, test, and deploy scalable, productionready code and machine learning models.

Data Engineer

Oakville, ON ยท On-site

  • Retirement

  • PTO

Coding Fundamentals Strong proficiency in Python and SQL. Experience writing clean, modular, and maintainable code optimized for heavy data processing. * Engineering Rigor Strong commitment to ...

Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards (sourced ... Work closely with analysts & data scientists to ensure methodological recommendation is realistic ...

Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards (sourced ... Work closely with analysts & data scientists to ensure methodological recommendation is realistic ...

Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards (sourced ... Work closely with analysts & data scientists to ensure methodological recommendation is realistic ...

Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards (sourced ... Work closely with analysts & data scientists to ensure methodological recommendation is realistic ...

Manager, Data Engineering

Toronto, ON ยท Hybrid

CA$124K - CA$160K/yr

  • Medical

  • Retirement

  • PTO

Enforce PCI DSS, security, coding standards, version control, deployment automation, and ... Hands-on expertise with modern data platforms (Snowflake, Databricks, DBT), data lakes, warehouses ...

Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards (sourced ... Work closely with analysts & data scientists to ensure methodological recommendation is realistic ...

Data Engineer

Toronto, ON ยท On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Participate in code reviews to ensure code quality and distribute knowledge * Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business ...

Data Engineer (Coding Agent Experience) Type: Contract Compensation: $80/hour Location: Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering ...

Write production-quality code, conduct thorough code reviews, troubleshoot performance issues, and ... Deep expertise in data modeling, distributed systems, storage optimization, and performance tuning ...

next page

Showing results 1-20

Data Coder information

What are the key skills and qualifications needed to thrive as a data coder?

To thrive as a Data Coder, you need strong analytical skills, attention to detail, and a background in information management or health information technology, often supported by certification such as Certified Coding Specialist (CCS). Familiarity with coding systems like ICD-10, CPT, and healthcare databases, as well as proficiency in data entry software, is typically required. Excellent organizational skills, integrity, and the ability to communicate clearly with other healthcare professionals help set top performers apart. These skills ensure accurate coding, compliance with regulations, and reliable data for billing, reporting, and patient care.

What are some common challenges data coders face when working with large and complex datasets?

Data Coders often encounter challenges such as inconsistent data formats, missing values, and ambiguous information when handling large and complex datasets. Ensuring data accuracy and maintaining consistency across different sources can be time-consuming and requires strong attention to detail. Effective communication with team members, such as data analysts and project managers, is also essential to clarify coding guidelines and resolve uncertainties. Proactively addressing these challenges helps Data Coders maintain high-quality datasets and contribute to reliable data analysis.

What is the difference between Data Coder vs Data Entry Clerk?

AspectData CoderData Entry Clerk
Required CredentialsHigh school diploma, coding certifications (e.g., ICD, CPT)High school diploma or equivalent
Work EnvironmentHealthcare, insurance, or data management settingsOffices, administrative settings
Employer & Industry UsageHospitals, insurance companies, healthcare providersBusinesses, government agencies, offices
Common Search & ComparisonOften compared for data processing and coding accuracyCompared for data input speed and accuracy

Data Coders focus on translating medical or technical data into standardized codes, requiring specific certifications. Data Entry Clerks primarily input data into systems, emphasizing speed and accuracy. While both roles handle data, Data Coders require specialized knowledge, especially in healthcare coding, whereas Data Entry Clerks focus on general data input tasks.

How much do data coders make?

Data coders typically earn between $30,000 and $50,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced coders with specialized skills can earn higher salaries, especially if they work with advanced data management tools or certifications.

What does a data coder do?

A data coder is responsible for reviewing, categorizing, and coding data, often from surveys, interviews, or other sources, to ensure consistency and accuracy for analysis. They typically use coding manuals or software tools and may need attention to detail and knowledge of data management practices.
Infographic showing various Data Coder job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Data Engineer - AI Coding Expert

Mercor

Toronto, ON โ€ข Remote

CA$80/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Engineer (Coding Agent Experience)
Type: Contract
Compensation: $80/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
  • Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems.
  • Identify bugs, edge cases, scalability issues, and failure modes in model outputs.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic data engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional data engineering experience.
  • Experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated data infrastructure and pipeline implementations.

Preferred

  • Experience operating large-scale data platforms.

Compensation & Legal

  • $400 per accepted task.
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.