# Eligibility Interviewers, Government Programs

> Determine eligibility of persons applying to receive assistance from government programs and agency resources, such as welfare, unemployment benefits, social security, and public housing.

- **SOC code:** 43-4061.00
- **Canonical URL:** https://singulariki.com/roles/role-43-4061-00
- **Also known as:** Eligibility Specialist, Eligibility Worker, Social Welfare Examiner (SWEX), Workforce Services Representative (WSR), Benefits Program Tech (Benefits Program Technician), Business and Employment Specialist, Case Manager, Eligibility Examiner
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Compute and authorize amounts of assistance for programs, such as grants, monetary payments, and food stamps.
- Keep records of assigned cases, and prepare required reports.
- Compile, record, and evaluate personal and financial data to verify completeness and accuracy, and to determine eligibility status.
- Interview and investigate applicants for public assistance to gather information pertinent to their applications.
- Interview benefits recipients at specified intervals to certify their eligibility for continuing benefits.
- Interpret and explain information such as eligibility requirements, application details, payment methods, and applicants' legal rights.
- Initiate procedures to grant, modify, deny, or terminate assistance, or refer applicants to other agencies for assistance.
- Check with employers or other references to verify answers and obtain further information.
- Answer applicants' questions about benefits and claim procedures.
- Provide social workers with pertinent information gathered during applicant interviews.
- Schedule benefits claimants for adjudication interviews to address questions of eligibility.
- Refer applicants to job openings or to interviews with other staff, in accordance with administrative guidelines or office procedures.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- English Language _(knowledge)_
- Speaking _(essential_skill)_
- Oral Expression _(ability)_
- Active Listening _(essential_skill)_
- Oral Comprehension _(ability)_
- Reading Comprehension _(essential_skill)_
- Written Comprehension _(ability)_
- Written Expression _(ability)_
- Speech Clarity _(ability)_
- Administration and Management _(knowledge)_
- Administrative _(knowledge)_

**Skills in demand:**
- English Language _(Common Skill)_
- Active Listening _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Writing _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Critical Thinking _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft Word _(hot technology, in demand)_
- Microsoft Access _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Zoom _(hot technology)_
- Adobe Acrobat Reader
- Client assessment software
- Corel WinZip
- Email software
- GE Healthcare Centricity EMR

## AI exposure & outlook

- **AI task-overlap index:** 91st percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 83rd percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 88th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 85th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 58th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 1.0% growth (About average); 14k annual openings; 166.8k → 168.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $51,500; 156,260 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 30% automation, 63% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Provide applicants with assistance in completing application forms such as those for job referrals or unemployment compensation claims. _(2.7% of measured AI use; task iteration)_
- Interpret and explain information such as eligibility requirements, application details, payment methods, and applicants' legal rights. _(2.6% of measured AI use; learning)_
- Answer applicants' questions about benefits and claim procedures. _(0.9% of measured AI use; learning)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me provide applicants with assistance in completing application forms such as those for job referrals or unemployment compensation claims.
- Help me interpret and explain information such as eligibility requirements, application details, payment methods, and applicants' legal rights.
- Help me answer applicants' questions about benefits and claim procedures.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-43-4061-00_