Hands-on
2026-02 · Machine Learning/Expert
Explore a possible path
Personal Care Aides
Provide personalized assistance to individuals with disabilities or illness who require help with personal care and activities of daily living support (e.g., feeding, bathing, dressing, grooming, toileting, and ambulation). May also provide help with tasks such as preparing meals, doing light housekeeping, and doing laundry. Work is performed in various settings depending on the needs of the care recipient and may include locations such as their home, place of work, out in the community, or at a daytime nonresidential facility.
How does this connect to your interests? →A look at the work
- Prepare and maintain records of client progress and services performed, reporting changes in client condition to manager or supervisor.
- Administer bedside or personal care, such as ambulation or personal hygiene assistance.
- Perform healthcare-related tasks, such as monitoring vital signs and medication, under the direction of registered nurses or physiotherapists.
- Participate in case reviews, consulting with the team caring for the client, to evaluate the client's needs and plan for continuing services.
- Instruct or advise clients on issues, such as household cleanliness, utilities, hygiene, nutrition, or infant care.
- Care for individuals or families during periods of incapacitation, family disruption, or convalescence, providing companionship, personal care, or help in adjusting to new lifestyles.
- Perform housekeeping duties, such as cooking, cleaning, washing clothes or dishes, or running errands.
- Provide clients with communication assistance, typing their correspondence or obtaining information for them.
A selection of source-listed tasks; duties vary by role and employer.
Interests involved in this work
These source scores describe occupational work activities. They are separate from your personal test results.
3.5 / 7
Investigative
2026-02 · Machine Learning/Expert
Creative
2026-02 · Machine Learning/Expert
Helping people
2026-02 · Machine Learning/Expert
Enterprising
2026-02 · Machine Learning/Expert
Organizing
2026-02 · Machine Learning/Expert
Skills to explore
Source-reported importance on a 1–5 scale. Try a course, project or conversation to learn what these skills involve.
Service Orientation
Actively looking for ways to help people.
2023-08
Social Perceptiveness
Being aware of others' reactions and understanding why they react as they do.
2023-08
Active Listening
Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
2023-08
Critical Thinking
Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
2023-08
Monitoring
Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action.
2023-08
Coordination
Adjusting actions in relation to others' actions.
2023-08
Speaking
Talking to others to convey information effectively.
2023-08
Time Management
Managing one's own time and the time of others.
2023-08
Instructing
Teaching others how to do something.
2023-08
Reading Comprehension
Understanding written sentences and paragraphs in work-related documents.
2023-08
Plan a small next step
Talk to someone doing this work, look for a supervised activity, and explore the subjects that interest you. Admission, licensing and current program requirements should be confirmed with the relevant institutions.
Source preparation category: Job Zone 2 of 5 · 2026-02. This category describes typical preparation, not your eligibility.
Related study fields
Source crosswalk connections are research leads, not required qualifications.
Home Health Aide/Home Attendant →
Explore all related study fields →Source & methodology
O*NET-SOC code 31-1122.00 · Database 31.0 · Retrieved Oct 14, 2026. Dates on individual observations describe their source periods.
How interest exploration matching works →Data: O*NET® 31.0 Database, U.S. Department of Labor, Employment and Training Administration. Used under CC BY 4.0. StudyIndex normalizes the presentation and adds exploration features; USDOL/ETA has not approved, endorsed or tested these additions.