Data entry clerk Data entry clerks
A global AI analysis is below; pick a country for local salary, licensing and migration data.
Data entry clerk is a high-risk automation occupation. AI/OCR technology can already replace most manual entry tasks, with demand continuously shrinking and limited future survival space.
More exposed than about 72% of occupations (percentile; higher = more exposed to AI)
-
Replaces manual entry of structured data (e.g., invoices, forms) from paper documents or PDFs, enabling automatic recognition and extraction.
-
Replaced manual extraction and entry of specific data fields from unstructured documents such as orders and receipts.
-
Replaced manual data entry and verification tasks for large volumes of repetitive documents in industries such as finance and logistics.
-
Replaced repetitive keyboard data entry tasks of manually inputting data from spreadsheets, emails, web sources, etc., into other systems.
-
Replaced the manual extraction of specific fields (such as names, dates, amounts) from scanned documents and PDFs and entry into systems.
-
Replaced repetitive data entry of manually copying and pasting data from one system to another (e.g., CRM to mailing lists).
- Manually typing text and numbers from paper or digital documents
- Use scanners and OCR software for batch data capture
- Check and correct basic data entry errors
- Copy data from one system to another.
- Generate simple data reports and summaries
- Use AI tools to quickly verify data consistency and improve accuracy
- Automate repetitive data entry using RPA software to free up human labor
- AI-assisted recognition of blurred or handwritten text, expanding the types of data that can be processed
- Combines natural language processing (NLP) for converting unstructured text into structured data.
- Automatically monitors input quality and generates anomaly alerts
- Process complex, unusual or highly specialised data (e.g. medical records, legal documents)
- Judging and interpreting data context (e.g., identifying ambiguities, correcting logic errors).
- Communicate with clients or colleagues to clarify data sources and meanings
- Manage data governance and privacy compliance requirements.
- Design and optimize data entry processes to improve overall efficiency
- Data analysis and visualization tools (e.g., advanced Excel functions, Tableau)
- RPA tools (e.g., UiPath, Automation Anywhere)
- Database query language (SQL)
- Basic Programming (Python for Data Cleaning and Automation)
- Data quality management and governance skills
- Process optimisation and project management
Entry-level roles have narrowed significantly: basic data entry positions have largely disappeared, with only roles handling unstructured or low-quality data remaining, while demands for speed and accuracy have increased.
Transition from data entry clerk to data administrator or process automation specialist: learn RPA and AI tools, take on data quality monitoring, exception handling, and process optimisation; or deepen domain knowledge to become data analyst or business analyst, using AI tools to extract insights from data.
Local data by country
Ratings · Overall 6.1/10
Salary
| Experience | Annual (CAD) | |
|---|---|---|
| 薪资中位数 | $48,880 ~ $48,880 | 全国全职年薪中位数（来源：加拿大 Job Bank，2021普查） |
| Entry level (0–3 years) | $30,000 ~ $37,000 | Approx. C$14–18 per hour |
| Mid-level (3–6 years) | $37,000 ~ $45,000 | Experienced professionals earn higher salaries |
| Senior (6+ years) | $45,000 ~ $52,000 | Can be promoted to data quality inspector or team supervisor |
| 平均薪资 | $52,000 ~ $52,000 | 全国全职年薪均值（来源：加拿大 Job Bank，2021普查） |
Education Path
| Stage | Duration | Cost (CAD) |
|---|---|---|
| High school diploma | Not applicable | $0~$0 |
| University diploma or certificate | 1 year | $5,000~$15,000 |
Qualifications
| Qualification | Issuer | |
|---|---|---|
| High school diploma | Provincial education department | Required |
| Typing Skills Certification | Private training provider | Optional |
Migration (to Canada)
| Visa | Details |
|---|---|
| Express Entry Federal Skilled Worker | Must meet Federal Skilled Worker scoring requirements, typically a post-secondary diploma and 1 year of work experience |
| PNP Provincial Nominee Program | Some states can nominate data entry clerks, requiring employer offer |
| LMIA Labour Market Impact Assessment | Employers can apply for an LMIA-supported work visa, but this occupation is usually difficult to obtain approval. |
Who it fits
- Patient, detail-oriented, and accuracy-focused individuals
- People proficient in basic computer operations
- Job seekers willing to do repetitive work
- Those seeking high salary and rapid promotion
- People who wish to engage in creative or highly social-interactive work
Career outlook
Entry-level data entry clerks can advance to data quality checker, team supervisor, or transition to data analysis, administrative assistant, etc. Continuous learning of new software and automation tools enhances career competitiveness.
Job prospects for data entry clerks in Canada are moderate; automation trends are causing a slow decline in demand. Mainly concentrated in healthcare, finance, logistics, etc. More opportunities in metropolitan areas, but competition is also higher.
Growth areas：
Data EntryAdministrative SupportOffice AutomationDatabase Management
FAQ
Data sources
Salary estimates on this page are compiled from publicly available ranges on Job Bank, Indeed, Glassdoor, ERI SalaryExpert, etc. Employment and demand forecasts reference Statistics Canada and ESDC/Job Bank. Immigration information is based on IRCC's Express Entry and latest Provincial Nominee Program (PNP) rules. Data is for reference only. Always refer to official sources for the most current information.
What the community thinks
Tap an option to vote (change anytime)