Review occupational data on Alien Employment Certification Applications to determine the appropriate occupational title and code, and provide local offices with information about immigration and occupations.

“Review occupational data on Alien Employment Certification Applications to determine the appropriate occupational title and code, and provide local offices with information about immigration and occupations.” is a supplemental task performed by Compensation, Benefits, and Job Analysis Specialists. Among the occupation's 24 rated tasks, workers place it 3rd by importance (#22 most important).

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T2.

Other tasks in this occupation

• Administer employee insurance, pension, and savings plans, working with insurance brokers and plan carriers. · importance 4.5
• Ensure company compliance with federal and state laws, including reporting requirements. · importance 4.4
• Research employee benefit and health and safety practices, and recommend changes or modifications to existing policies. · importance 4.1
• Evaluate job positions, determining classification, exempt or non-exempt status, and salary. · importance 3.9
• Prepare occupational classifications, job descriptions, and salary scales. · importance 3.9
• Consult with, or serve as, technical liaison between business, industry, government, and union officials. · importance 3.9
• Perform multifactor data and cost analyses that may be used in areas such as support of collective bargaining agreements. · importance 3.8
• Develop, implement, administer, and evaluate personnel and labor relations programs, including performance appraisal, affirmative action, and employment equity programs. · importance 3.8
• Advise managers and employees on state and federal employment regulations, collective agreements, benefit and compensation policies, personnel procedures, and classification programs. · importance 3.8
• Provide advice on the resolution of classification and salary complaints. · importance 3.3
• Negotiate collective agreements on behalf of employers or workers, and mediate labor disputes and grievances. · importance 3.3
• Analyze organizational, occupational, and industrial data to facilitate organizational functions and provide technical information to business, industry, and government. · importance 3.3
• Assess need for and develop job analysis instruments and materials. · importance 3.2
• Observe, interview, and survey employees and conduct focus group meetings to collect job, organizational, and occupational information. · importance 3.1

See all tasks on the Compensation, Benefits, and Job Analysis Specialists page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-3367,
  title  = {Review occupational data on Alien Employment Certification Applications to determine the appropriate occupational title and code, and provide local offices with information about immigration and occupations.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-3367}
}