Eligibility interviewers, government programs
SOC Code: 43-4061
Eligibility interviewers, government programs carries a 60% AI exposure score (High automation risk), with a median annual wage of $51,500 and +1.0% projected employment growth from 2024 to 2034 (BLS), affecting approximately 166,800 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
Eligibility interviewers, government programs (SOC 43-4061) carries an AI exposure score of 60%, placing it in the 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 166,800 workers in this occupation in 2024, and projects a +1.0% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $51,500, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, 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 Eligibility interviewers, government programs. 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. Compute and authorize amounts of assistance for programs, such as grants, monetary payments, and food stamps.
- 2. Keep records of assigned cases, and prepare required reports.
- 3. Compile, record, and evaluate personal and financial data to verify completeness and accuracy, and to determine eligibility status.
- 4. Interview and investigate applicants for public assistance to gather information pertinent to their applications.
- 5. Interview benefits recipients at specified intervals to certify their eligibility for continuing benefits.
- 6. Interpret and explain information such as eligibility requirements, application details, payment methods, and applicants' legal rights.
- 7. Initiate procedures to grant, modify, deny, or terminate assistance, or refer applicants to other agencies for assistance.
- 8. Check with employers or other references to verify answers and obtain further information.
- 9. Answer applicants' questions about benefits and claim procedures.
- 10. Provide social workers with pertinent information gathered during applicant interviews.
Key Skills Required
- Speaking
- Active Listening
- Reading Comprehension
- Writing
- Social Perceptiveness
- Service Orientation
- Critical Thinking
- Judgment and Decision Making
- Active Learning
- Monitoring
Knowledge Areas
- Customer and Personal Service
- English Language
- Administration and Management
- Administrative
- Personnel and Human Resources
- Education and Training
- Computers and Electronics
- Mathematics
- Law and Government
- Public Safety and Security
Frequently Asked Questions
Will AI replace Eligibility interviewers, government programs?
Eligibility interviewers, government programs has an AI exposure score of 60%, indicating a 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 Eligibility interviewers, government programs?
According to BLS Employment Projections 2024-2034, Eligibility interviewers, government programs is projected to grow by 1.0% over the decade. Current employment stands at approximately 166,800 workers.
What skills are needed for Eligibility interviewers, government programs?
Key skills for Eligibility interviewers, government programs include Speaking, Active Listening, Reading Comprehension, and others. Typical entry-level education is High school diploma or equivalent.
How much do Eligibility interviewers, government programs earn?
The median annual wage for Eligibility interviewers, government programs is $51,500, 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 Eligibility interviewers, government programs?
The typical entry-level education for Eligibility interviewers, government programs is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Eligibility interviewers, government programs?
Eligibility interviewers, government programs 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
High automation risk based on 10 analyzed tasks. A majority of tasks in this occupation are susceptible to AI automation.
Related Occupations
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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).