Life, physical, and social science technicians, all other
SOC Code: 19-4099
Life, physical, and social science technicians, all other carries a 69% AI exposure score (Very High automation risk), with a median annual wage of $60,130 and +3.5% projected employment growth from 2024 to 2034 (BLS), affecting approximately 83,200 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
Life, physical, and social science technicians, all other (SOC 19-4099) carries an AI exposure score of 69%, placing it in the Very High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.
The economic context matters alongside the risk score. BLS counted approximately 83,200 workers in this occupation in 2024, and projects a +3.5% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $60,130, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Associate's degree, plus None of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Life, physical, and social science technicians, all other. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Collect geospatial data, using technologies such as aerial photography, light and radio wave detection systems, digital satellites, or thermal energy systems.
- 2. Conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples.
- 3. Interpret test results, compare them to established specifications and control limits, and make recommendations on appropriateness of data for release.
- 4. Calibrate, validate, or maintain laboratory equipment.
- 5. Ensure that lab cleanliness and safety standards are maintained.
- 6. Perform visual inspections of finished products.
- 7. Verify integrity and accuracy of data contained in remote sensing image analysis systems.
- 8. Complete documentation needed to support testing procedures, including data capture forms, equipment logbooks, or inventory forms.
- 9. Compile laboratory test data and perform appropriate analyses.
- 10. Identify and troubleshoot equipment problems.
Key Skills Required
- Critical Thinking
- Reading Comprehension
- Speaking
- Mathematics
- Active Listening
- Monitoring
- Judgment and Decision Making
- Systems Analysis
- Writing
- Complex Problem Solving
Knowledge Areas
- Geography
- Computers and Electronics
- Mathematics
- Customer and Personal Service
- Engineering and Technology
- Production and Processing
- English Language
- Education and Training
- Administration and Management
- Design
Frequently Asked Questions
Will AI replace Life, physical, and social science technicians, all other?
Life, physical, and social science technicians, all other has an AI exposure score of 69%, indicating a very high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.
What is the job outlook for Life, physical, and social science technicians, all other?
According to BLS Employment Projections 2024-2034, Life, physical, and social science technicians, all other is projected to grow by 3.5% over the decade. Current employment stands at approximately 83,200 workers.
What skills are needed for Life, physical, and social science technicians, all other?
Key skills for Life, physical, and social science technicians, all other include Critical Thinking, Reading Comprehension, Speaking, and others. Typical entry-level education is Associate's degree.
How much do Life, physical, and social science technicians, all other earn?
The median annual wage for Life, physical, and social science technicians, all other is $60,130, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Life, physical, and social science technicians, all other?
The typical entry-level education for Life, physical, and social science technicians, all other is Associate's degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.
Which companies employ Life, physical, and social science technicians, all other?
Life, physical, and social science technicians, all other roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Very High automation risk based on 10 analyzed tasks. A majority of tasks in this occupation are susceptible to AI automation.
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).