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Remote Data Entry Analyst Jobs in Toronto, ON (NOW HIRING)

... remote entry solutions) Conduct root cause analysis for recurring issues, developing mitigation strategies and preventative solutions. Provide technical guidance to users via phone, email, and live ...

... remote entry solutions) Conduct root cause analysis for recurring issues, developing mitigation strategies and preventative solutions. Provide technical guidance to users via phone, email, and live ...

Enterprise Data Science Specialist

Toronto, ON ยท Remote

CA$60 - CA$70/hr

Data Science and Analytics Experts Type: Contract Compensation: $60-$70/hour Location: Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling ...

New

Traditional analytical techniques built on historical data were not built for this. Epistemix was ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Data Engineer

Toronto, ON ยท Remote

CA$140K - CA$190K/yr

... analytics, reporting, product capabilities, and AI systems by ensuring that data is trustworthy, accessible, and fit for purpose. This is a fully remote position that offers a competitive salary ...

Showing results 41-60

Remote Data Entry Analyst information

See Toronto, ON salary details

$9

$25

$57

How much do remote data entry analyst jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote data entry analyst in Toronto, ON is $25.20, according to ZipRecruiter salary data. Most workers in this role earn between $15.37 and $28.68 per hour, depending on experience, location, and employer.

What is a remote data entry analyst?

A Remote Data Entry Analyst is responsible for inputting, updating, and managing data in digital systems while working from a remote location. They ensure accuracy, consistency, and completeness of data, often using spreadsheets, databases, or specialized software. This role requires strong attention to detail, typing proficiency, and the ability to follow data management procedures. Analysts may work with financial, healthcare, customer, or product-related data, depending on the employer. Effective communication and time management skills are essential for meeting deadlines and ensuring data integrity.

What are the key skills and qualifications needed to thrive as a remote data entry analyst?

To thrive as a Remote Data Entry Analyst, you need exceptional attention to detail, fast and accurate typing skills, and a solid grasp of data management concepts, often demonstrated by a high school diploma or equivalent. Proficiency with data entry software such as Microsoft Excel, Google Sheets, and enterprise databases (like Salesforce or SAP) is commonly required, and knowledge of basic data security protocols is beneficial. Strong self-motivation, time management, and clear written communication set standout candidates apart in remote settings. These abilities ensure that data is accurately processed, deadlines are consistently met, and communication remains seamless despite working remotely.

What are some typical challenges faced by remote data entry analysts, and how can they be managed?

Remote Data Entry Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively without direct supervision, and staying connected with team members from a distance. To overcome these, it's important to establish a structured work schedule, take regular short breaks to maintain productivity, and leverage collaboration tools like Slack, Zoom, or project management platforms to stay in sync with colleagues. Setting clear daily or weekly goals can also help keep you motivated and on track. Proactively reaching out for feedback and assistance ensures that you remain integrated with your team and can resolve any issues promptly.

Are any remote data entry analyst jobs legit?

Remote data entry analyst jobs are legitimate opportunities that typically involve inputting and managing data using software tools like spreadsheets and databases. However, job seekers should verify the employer's credibility, avoid positions that require upfront payments, and be cautious of scams promising high pay for minimal work.

What are popular job titles related to Remote Data Entry Analyst jobs in Toronto, ON?

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

What job categories do people searching Remote Data Entry Analyst jobs in Toronto, ON look for?

The top searched job categories for Remote Data Entry Analyst jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Remote Data Entry Analyst jobs?

Cities near Toronto, ON with the most Remote Data Entry Analyst job openings:

Data Engineer - Fully Remote | Upto $80/hr

Mercor

Toronto, ON โ€ข Remote

CA$80/hr

Full-time

Re-posted 29 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.