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Data Coder Jobs in Toronto, ON (NOW HIRING)

Mercor

Data Engineer - AI Coding Expert

Toronto, ON · Remote

CA$80/hr

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 ...

Canadian Tire

Senior Data Scientist

Toronto, ON · On-site

Provide mentorship to team members on data, code, and data science best practices Lead the creation of efficient, cost-effective high-availability pipelines. Provide ad hoc analytics and ...

Canadian Tire

Senior Data Scientist

Toronto, ON · On-site

Provide mentorship to team members on data, code, and data science best practices Lead the creation of efficient, cost-effective high-availability pipelines. Provide ad hoc analytics and ...

Td

Data Engineer II

Toronto, ON

CA$81K - CA$115K/yr

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 ...

Scotiabank

Data Engineer

Toronto, ON · On-site

We are looking for a handson Data Engineer with deep expertise in Apache Spark and strong ... Write productionquality Spark code with strong focus on performance, scalability, and reliability

Hotspex Media

Data Engineer

Toronto, ON · On-site

CA$85K - CA$115K/yr

Use Claude Code for stored procedure docs, model READMEs, schema references * Version-controlled repos, clean Markdown, proper Git hygiene * Document data contracts: ingestion → transformation → ...

WildBrain

Data Architect (BigQuery / GCP)

Toronto, ON · Hybrid

Lead by example -- code reviews, architectural decision records, pairing, and lifting the team's bar without becoming a bottleneck. * Establish data governance practices -- IAM, access controls, PII ...

Ontario Teachers

Data Scientist

Toronto, ON · On-site +1

The Data Scientist also participates in data science practices and capability development at OTPP ... Champion strong coding standards, including documentation, version control, testing ...

Virtusa

SQL Data Analyst

Mississauga, ON · On-site

Experience in Agile development methodology. Knowledge of database design ,data modeling ... Experience code migrations and Job scheduling tools.

Virtusa

SQL Data Analyst

Mississauga, ON · On-site

Experience in Agile development methodology. Knowledge of database design ,data modeling ... Experience code migrations and Job scheduling tools.

Sanofi EU

Clinical Data Scientist

Unionville, ON

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 ...

Sanofi EU

Clinical Data Scientist

Maple, ON

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 ...

Sanofi EU

Clinical Data Scientist

Brampton, ON

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 ...

Sanofi EU

Clinical Data Scientist

Mississauga, ON

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 ...

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All JobsData Coder JobsData Coder Jobs in Toronto, ON

Data Coder information

What hot tech job pays $775 000?

Data science and machine learning engineering roles are among the highest-paying tech jobs, with senior positions sometimes earning over $775,000 annually, especially in top tech companies or with significant experience and specialized skills. These roles often require advanced knowledge of programming, statistics, and tools like Python, R, or cloud platforms.

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

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.

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 pay less, while experienced data coders with specialized skills can earn higher salaries. Many roles require knowledge of data entry, coding tools, and attention to detail.

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.

What pays more, CCS or CPC?

For a Data Coder, CPC (Cost Per Click) and CCS (Cost per Case or similar metrics) are not standard pay structures; typically, data coding roles are paid hourly or salaried. If comparing roles involving advertising or digital marketing, CPC often relates to pay based on ad clicks, while CCS may refer to case-based billing, but these are not directly comparable for data coding jobs. Pay depends on industry, experience, and specific employer compensation models.

What does a data coder do?

A data coder is responsible for reviewing, classifying, and entering data into databases or spreadsheets, often using coding schemes or standardized categories. They ensure data accuracy and consistency, frequently working with data management tools and following specific guidelines or protocols.
Data Coder jobs near you
Data Engineer - AI Coding Expert

Data Engineer - AI Coding Expert

Mercor

Toronto, ON • Remote

CA$80/hr

Full-time

Posted 19 days ago

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.