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Remote Data Entry Work Jobs in Edmonton, AB (NOW HIRING)

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Remote + flexible work schedule * North of six figures salary + Equity + Health Spending Account ...

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Remote Data Entry Work information

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$9

$26

$59

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

As of Sep 5, 2026, the average hourly pay for remote data entry work in Edmonton, AB is $26.88, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $31.97 per hour, depending on experience, location, and employer.

What is remote data entry work?

Remote data entry work involves inputting, updating, or managing data using a computer from a location outside of a traditional office, such as from home. Typical tasks may include entering information into databases, spreadsheets, or online systems, as well as verifying and correcting data for accuracy. This job is suitable for individuals who are detail-oriented, comfortable with computers, and able to work independently. Many companies hire remote data entry workers either as employees or independent contractors, offering flexibility in work hours and location.

What are remote jobs for data entry work?

Remote data entry work involves entering information in a database or other information system. You typically work from home and type on your computer. The duties and responsibilities of a virtual data entry worker can vary slightly depending on the details of the job. Some employers need you to do transcription work, while others ask you to enter information on a worksheet or other document, such as a Microsoft Excel spreadsheet. In some positions, you may actually select the relevant data for inclusion in the database, and you may use the data to create reports.

What are some common challenges faced in remote data entry work, and how can I overcome them?

Remote data entry professionals often encounter challenges such as maintaining focus in a home environment, managing time effectively, and ensuring data accuracy without direct supervision. To overcome these, establish a dedicated and distraction-free workspace, set clear daily goals, and use productivity tools to stay organized. Regularly double-checking your entries and maintaining open communication with your team or supervisor can also help ensure high-quality work and meet deadlines consistently.

What are the key skills and qualifications needed to thrive as a remote data entry worker, and why are they important?

To excel in remote data entry work, strong typing skills, attention to detail, and familiarity with data management are essential, usually supported by a high school diploma or equivalent. Proficiency with spreadsheet software like Microsoft Excel, cloud-based databases, and data entry systems is typically required. Reliability, self-motivation, and effective communication help remote data entry professionals stand out. These skills ensure accuracy, efficiency, and accountability when handling sensitive or high-volume information from a remote setting.

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

AspectRemote Data Entry WorkRemote Data Entry Clerk
CredentialsBasic computer skills, typing proficiencyBasic computer skills, typing proficiency
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageFreelance, online platformsCompany-specific, administrative roles
Search IntentFreelance, part-time, flexible jobsFull-time, entry-level administrative roles

Both Remote Data Entry Work and Remote Data Entry Clerk involve similar skills and work environments, primarily focusing on data input tasks from home. The main difference lies in the context: Remote Data Entry Work often refers to freelance or gig opportunities, while Remote Data Entry Clerk typically describes employed roles within organizations. Understanding these distinctions helps job seekers find roles that match their skills and preferences.

Are any remote data entry work jobs legit?

Remote data entry work jobs can be legitimate, especially those offered by reputable companies that provide clear job descriptions, reasonable pay, and transparent application processes. However, job seekers should be cautious of scams that promise high pay for minimal work and avoid jobs that require upfront fees or personal financial information.

What are popular job titles related to Remote Data Entry Work jobs in Edmonton, AB?

For Remote Data Entry Work jobs in Edmonton, AB, the most frequently searched job titles are:

What job categories do people searching Remote Data Entry Work jobs in Edmonton, AB look for?

The top searched job categories for Remote Data Entry Work jobs in Edmonton, AB are:

Infographic showing various Remote Data Entry Work job openings in Edmonton, AB as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $55,909 per year, or $26.9 per hour.

Data Analytics Specialist (REMOTE) JP973

P@thlion Staffing Careers

Edmonton, AB โ€ข On-site, Remote

Full-time

Re-posted 22 days ago


Key responsibilities

  • Support the design and development of analytical data products and services to enable better data utilization across the Government of Alberta.

  • Analyze raw data, develop algorithms, and create visualizations to generate insights and support decision-making for internal and external stakeholders.

  • Collaborate with team members and stakeholders to understand analytics needs, develop models, and provide expertise in data analysis, modeling, and visualization.


Job description

Project Name:
Data Projects
Scope:
The Data and Content Management Division uses a one-government approach to information and privacy governance, decision-making, and service delivery across the Government of Alberta (GoA) balanced with individual client needs. This facilitates enhanced data access, collaboration, reduction in data duplication, and innovation to ensure effective and efficient services across the government to provide better services to Albertans.
The Data Centre of Excellence requires a resource to support the design and development of analytical data products & services to enable the GoA to better leverage its data assets support implementation of the GoA Data Strategy. Working within a team, this resource is an expert, and plays a key role in ensuring high-quality data modeling, applying algorithms, de-identification, synthetic data creation, visualizations and development of evidence for use across ministries and with external stakeholders. This role will enact the pillars of the Data Strategy by using data to benefit Albertans
The successful candidate will be a Data Analytics Specialist / Data Scientist with a diverse range of analytical skills and experience in working in multi-faceted roles. The role may have aspects of any or all the following: data analysis, data science, data modelling, statistical analysis, artificial intelligence (AI) & machine learning (ML), strategizing, advising, data product design and delivery. There may be aspects of data engineering, technical analysis, and business analysis.
Duties:
Provides hands-on support, leadership, advice and direction on the strategic data initiatives that are being undertaken as part of the Data Strategy. A critical responsibility is to coordinate with various internal and external clients to understand their analytics needs and how to use the data to best meet these needs. This resource is an expert in anticipating, identifying and responding to diverse and complex data analytic requirements across GoA departments and from external organizations, while also aligning with other areas of branch and broader department. Services and project deliverables should evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. Works with Manager Analytics Capability Centre to:

Develop and share analytical models and products.
Provide continuous improvement of analytics capacities.
Design and support development of analytic service offerings.
Analyze and organize raw data, preparing it for prescriptive and predictive modeling, while building algorithms that deliver business value.
Support in development of full-stack data analytics or AI applications as required.
Provide expertise and leadership in the design and competition of analytic projects.
Evaluating business needs, enhancing data quality, and designing analytical tools to support our data services.
Conducting complex data analysis and collaborating with data engineers and analysts on various projects.
Coaching and mentorship team members, fostering a client-centric approach and encouraging innovative solutions.
Working closely with senior management to support a cultural shift toward data as a strategic asset and maintain effective relationships with internal and external stakeholders.
Create and present options, roadmaps, frameworks, models, and briefings for senior executives with regards to analytics services, based on best and emerging practices and principles.
Facilitate strategic conversations to develop shared understanding and generate options for decision-making to align diverse stakeholder interests and goals.
Develop baseline and ongoing outcomes, key results, metrics, and other indicators.
Work as part of a team responsible for the generalizable extraction of knowledge from data by applying various techniques and methodologies including probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, and data visualizations
Apply skills to provide insights, support decision-making and facilitate strategic business planning across the department.
Requires a focus on understanding predictive analytics and needs-based analytics strategies to simplify, consistently produce and re-use analytical models and assets to drive measurable value.
Provide executives and decision-makers with a deeper understanding of their operations, transactions, services and information required for them to identify new opportunities that can be uncovered through analytics.
Provide depth and insights on GoA's data assets and transform them into meaningful analytics for decision making
Bring knowledge of statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression.
Integrate both quantitative and qualitative data to create business insights.
Design and create dashboards and custom reporting with various data sources and inputs.
Analyze data and prepare results.
Gather and document client requirements.
Capture business and technical metadata for analytical products.
Escalate issues and risks, as appropriate.
Work within a multi-vendor/staff environment.