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Remote Data Collector Jobs in Toronto, ON (NOW HIRING)

Mercor

Data Quality Expert - CRM Specialist

Toronto, ON · Remote

CA$80 - CA$120/hr

Data quality / CRM operations Evaluator Type: Contract Compensation: $80-$120/hour Location ... Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ...

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Remote Data Collector information

How can I make 2000 a week working from home?

A remote data collector can potentially earn $2,000 a week by completing high-volume data collection tasks, participating in paid surveys, or working on freelance projects that pay per task or project. Building skills in data entry, using online platforms, and maintaining a consistent schedule can help increase earnings, but achieving this income level typically requires a combination of multiple income streams and efficient time management.

What jobs pay 4000 a week without a degree?

Remote Data Collector roles typically do not pay $4,000 a week; such high earnings are uncommon without specialized skills or experience. High-paying jobs that can reach this level often require advanced technical skills, certifications, or experience in fields like sales, real estate, or freelance consulting. Most roles paying this amount involve significant responsibility, performance-based pay, or entrepreneurial effort.

How much do data collectors get paid?

Data collectors typically earn between $10 and $20 per hour, depending on the complexity of the data and the employer. Some positions may offer higher pay for specialized skills or experience, and remote roles often provide flexible schedules but may have varying pay rates.

What does a Remote Data Collector do?

A Remote Data Collector is responsible for gathering, organizing, and sometimes analyzing data from various sources while working remotely. This can involve collecting survey responses, monitoring online trends, or compiling information from databases and digital platforms. The data collected is often used by companies or researchers to make informed decisions or improve their products and services. Remote Data Collectors typically use specialized software tools and must ensure that the data they handle is accurate and confidential.

What is the difference between Remote Data Collector vs Remote Data Entry Clerk?

AspectRemote Data CollectorRemote Data Entry Clerk
Required CredentialsHigh school diploma or equivalent; sometimes certifications in data collection or survey toolsHigh school diploma or equivalent; basic computer skills
Work EnvironmentFieldwork, online surveys, or remote data gathering from various sourcesPrimarily office or home-based data input tasks
Employer & Industry UsageMarket research firms, healthcare, social sciences, government agenciesBusinesses, healthcare, administrative offices, data management companies

Remote Data Collectors focus on gathering data through surveys, interviews, or fieldwork, often requiring some specialized knowledge. Remote Data Entry Clerks primarily input data into systems, emphasizing accuracy and speed. While both roles are remote and involve data, their core tasks and environments differ significantly.

What are some common challenges faced by Remote Data Collectors, and how can they be managed?

Remote Data Collectors often encounter challenges such as maintaining data accuracy, managing time effectively without direct supervision, and dealing with varying data sources or formats. To address these, it's important to establish a consistent workflow, use standardized tools for data entry and validation, and maintain clear communication with your team or supervisor. Regular check-ins and training on data management best practices can also help ensure quality and reduce errors in your collected data.

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

To thrive as a Remote Data Collector, you need strong analytical skills, attention to detail, and a background in data collection or research, often supported by a relevant degree or certification. Familiarity with data collection tools, survey platforms, spreadsheet software, and sometimes mobile data collection apps is typically required. Excellent time management, self-motivation, and effective communication are crucial soft skills for working independently and ensuring data accuracy. These skills and qualities are essential to ensure reliable data gathering, timely reporting, and the integrity of research or business projects.

How to make 1000 a week remotely?

A remote data collector can potentially earn $1,000 a week by completing high-volume data entry tasks, participating in paid surveys, or performing freelance data collection projects. Success depends on skills, efficiency, and access to multiple platforms or clients, often requiring consistent effort and good time management.
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Remote Data Collector jobs near you
Infographic showing various Remote Data Collector job openings in Toronto, ON as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 9% Part Time, and 1% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.
Data Quality Expert - CRM Specialist

Data Quality Expert - CRM Specialist

Mercor

Toronto, ON • Remote

CA$80 - CA$120/hr

Full-time

Posted 22 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 quality / CRM operations Evaluator
Type: Contract
Compensation: $80–$120/hour
Location: Remote

Role Responsibilities

  • Evaluate AI-generated artifacts against domain-specific quality rubrics.
  • Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks.
  • Provide clear, structured written feedback to improve AI model outputs.
  • Apply deep subject-matter expertise to grade outputs for accuracy and rigor.
  • Work independently and asynchronously to ensure high-quality results.

Qualifications

Must-Have

  • 5+ years of relevant professional experience in Data quality / CRM operations.
  • Native or professional fluency in English.
  • Highly proficient in Microsoft Office and Google Workspace, especially Slides (Google Slides / PowerPoint).

Preferred

  • Advanced degree (Master's or higher) from a reputable institution.

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.