Hands-on
2026-02 · Machine Learning/Expert
Explore a possible path
Farmworkers, Farm, Ranch, and Aquacultural Animals
Attend to live farm, ranch, open range or aquacultural animals that may include cattle, sheep, swine, goats, horses and other equines, poultry, rabbits, finfish, shellfish, and bees. Attend to animals produced for animal products, such as meat, fur, skins, feathers, eggs, milk, and honey. Duties may include feeding, watering, herding, grazing, milking, castrating, branding, de-beaking, weighing, catching, and loading animals. May maintain records on animals; examine animals to detect diseases and injuries; assist in birth deliveries; and administer medications, vaccinations, or insecticides as appropriate. May clean and maintain animal housing areas. Includes workers who shear wool from sheep and collect eggs in hatcheries.
How does this connect to your interests? →A look at the work
- Feed and water livestock and monitor food and water supplies.
- Herd livestock to pastures for grazing or to scales, trucks, or other enclosures.
- Examine animals to detect illness, injury, or disease, and to check physical characteristics, such as rate of weight gain.
- Provide medical treatment, such as administering medications and vaccinations, or arrange for veterinarians to provide more extensive treatment.
- Mark livestock to identify ownership and grade, using brands, tags, paint, or tattoos.
- Drive trucks, tractors, and other equipment to distribute feed to animals.
- Segregate animals according to weight, age, color, and physical condition.
- Inspect, maintain, and repair equipment, machinery, buildings, pens, yards, and fences.
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.
6.8 / 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.
Critical Thinking
Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
2019-08
Monitoring
Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action.
2019-08
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.
2019-08
Operations Monitoring
Watching gauges, dials, or other indicators to make sure a machine is working properly.
2019-08
Operation and Control
Controlling operations of equipment or systems.
2019-08
Judgment and Decision Making
Considering the relative costs and benefits of potential actions to choose the most appropriate one.
2019-08
Speaking
Talking to others to convey information effectively.
2019-08
Reading Comprehension
Understanding written sentences and paragraphs in work-related documents.
2019-08
Complex Problem Solving
Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
2019-08
Troubleshooting
Determining causes of operating errors and deciding what to do about it.
2019-08
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.
Explore all related study fields →Source & methodology
O*NET-SOC code 45-2093.00 · 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.