Insurance claims clerks process new policies, policy modifications, and claims forms; obtain information from policyholders to verify the accuracy and completeness of information on claims forms, applications, related documents, and company records; and update existing policies and company records as requested by policyholders and insurance company representatives. Work includes checking application and claims materials, verifying information, deciding whether further documents are needed, entering and updating information according to rules, and submitting or referring the work while retaining records. U.S. wages and employment use the precise BLS 43-9041.00 occupational category presented by O*NET (2025 median annual pay of $49,230; approximately 256,700 employed in 2024, -4% growth for 2024—2034, and 20,300 projected average annual openings; the main industry is finance and insurance). Exact occupational wages for mainland China were not obtained and are recorded as a visible evidence gap.
Caution signals | This page corresponds to O*NET-SOC 43-9041.00, Insurance Claims and Policy Processing Clerks. The official scope is to process new policies, policy modifications, and claims forms; obtain information from policyholders to verify the accuracy and completeness of information on claims forms, applications, related documents, and company records; and update existing policies and company records as requested by policyholders and insurance company representatives. Core deliverables are accurate, complete, traceable forms and records, rather than merely filled-out forms. Risks arise from inadequate verification, inconsistent forms and records, unauthorized coverage explanations, and mishandling policyholder and claims information. U.S. wages and employment use the precise BLS occupational category presented by O*NET (median annual pay of $49,230; approximately 256,700 employed in 2024 and 247,200 projected in 2034, -4% growth for 2024—2034, and 20,300 projected average annual openings; the main industry is finance and insurance). Exact occupational wages for mainland China were not obtained and are recorded as a visible evidence gap. If repetitive checks, deadline pressure, and customer communication are difficult for you to tolerate, treat these as practical costs requiring serious consideration.
Insurance claims clerks correspond to U.S. O*NET-SOC 43-9041.00, Insurance Claims and Policy Processing Clerks. The official scope is to process new policies, policy modifications, and claims forms; obtain information from policyholders to verify the accuracy and completeness of information on claims forms, applications, related documents, and company records; and update existing policies and company records as requested by policyholders and insurance company representatives. A typical complete workflow is to check application and claims materials, verify information, decide whether further documents are needed, enter and update information according to rules, and submit or refer the work while retaining records. Current U.S. national pay: a 2025 median of $49,230 per year; employment of 239,100 in 2025, declining growth for 2025—2035 (a grouped label of -1% or lower), and 17,500 average annual openings (an overall projection, not attributed to AI). The exact occupational wage gap for China remains; industry averages are broad references only.
The objects of insurance claims clerical work and AI boundaries: which steps may be assisted and which judgments people must remain responsible for.
Direct answer | Generative AI can assist with extracting form information, initially screening materials for completeness and consistency, and drafting discrepancy lists and communications. People remain responsible, within their authorization, for verification conclusions, coverage explanations, claims and payment decisions, and personal and financial information handling. Task exposure does not mean job replacement or widespread adoption; formal use requires authorization, human review, and an audit trail. This page provides no replacement probability or timetable.
Occupational title comparison | Insurance claims clerks (U.S. O*NET-SOC 43-9041.00, Insurance Claims and Policy Processing Clerks). Public statistics in China do not provide single-occupation wages corresponding to this precise occupation; industry averages cannot be presented as medians, and the page being in Chinese does not establish an equivalent Chinese occupation or wage mapping.
Broad reference | Policy and claims form processing duties relate to the financial industry. National Bureau of Statistics Tables 2 / 5: average annual wages of employees in urban financial-sector entities in China in 2025 were CNY 211,164 in non-private entities and CNY 140,451 in private entities. These figures are not this occupation's wage range, median, or take-home income. Source: https://www.stats.gov.cn/zwfwck/sjfb/202605/t20260515_1963707.html.
U.S. pay reference | O*NET 43-9041.00 national wage page, 2025 BLS OEWS, precise U.S. national occupational category; checked on 2026-10-11.
U.S. wages in 2025 | Annual wages at the 10 / 25 / 50 / 75 / 90 percentiles were $37,560 / 44,270 / 49,230 / 60,490 / 73,590 respectively, with a median of $49,230 per year. Percentiles are neither minimum wages nor experience levels; the data do not represent individual take-home income.
Pay definition | OEWS measures employees' pretax wages for regular working hours, including commissions and production bonuses, but excluding overtime premiums, nonproduction bonuses, and employer benefit costs. It does not cover self-employment income; percentiles are not starting salaries. Methodology: https://www.bls.gov/oes/current/oes_tec.htm.
Which interests, abilities, and working styles matter more for insurance claims clerks? This page discusses fit only through work samples and responsibility boundaries; personality labels do not replace judgments about qualifications or performance.
Direct answer | Fit signals concern whether you can consistently check, enter, and update forms and data under rules, hand work over accurately under deadline and customer communication pressure, and escalate uncertainty or matters beyond your authority. Personality labels do not establish fit. Interest and personality tools can only help design trials; they cannot determine hiring eligibility, authorization, or performance.
Information verification risk | Trigger: missing or inconsistent policyholder information, coverage amounts, or claims materials left unverified. Consequences: possible incorrect processing and subsequent disputes. Controls: verify against a checklist and record discrepancies and requests for further documents. Boundary: final processing and conclusions follow organizational rules and authorization.
Form and record consistency risk | Trigger: entries inconsistent with original materials, uncontrolled versions, or unsynchronized updates. Consequences: possible register errors and loss of traceability. Controls: two-person or sample reviews, retaining original materials and change trails. Boundary: record corrections follow organizational policies.
How to become an insurance claims clerk: preparation, training, and a path of responsibility. Begin with insurance product and process basics, form and information system operation, information checking, and compliance awareness. Employers or competent authorities determine specific training and job requirements; training does not automatically confer underwriting or claims decision authority.
Preparation information | O*NET education responses of 55% high school, 21% associate degree, and 9% some college without a degree describe respondents' information. Job Zones One to Two describe occupational preparation levels, not a uniform threshold for all employers. Check the role's product and system training, supervision, and information permissions; clerical hiring or training does not automatically confer underwriting, claims, or payment decision authority.
Market signals and related directions for insurance claims clerks: this page states only observations within the coverage of its sources.
Overall U.S. employment projection, not attributed to AI | O*NET 43-9041.00: employment of 239,100 in 2025, declining growth for 2025—2035 (a grouped label of -1% or lower), and 17,500 projected average annual openings (including growth and replacement needs). Insufficient evidence: a national employment projection and a standardized recruitment sample for this occupation in China were not obtained; these figures cannot be converted into individual hiring probabilities.
Work in O*NET 43-9041.00 primarily involves desk-based checking and data entry: email daily, 100%; sitting continually or almost continually, 91%; telephone conversations daily, 83%; indoors in a controlled environment daily, 85%; exactness or accuracy extremely important, 65%; repeating the same tasks extremely important, 59%; time pressure daily, 48%; and some freedom to make decisions, 32%. Claims and policy processing deadlines drive the pace.
This occupation processes policy and claims forms, verifies information, and updates records under established rules. Billing and posting clerks focus on entering accounts and payments; bookkeeping, accounting, and auditing clerks focus on ledgers and reconciliation; claims adjusters and investigators determine liability and investigation findings; underwriters select risks and determine coverage terms. Compare core outputs, authorized scope, and responsibility boundaries rather than interchanging titles.
Fit signals concern whether you can consistently check, enter, and update forms and data under rules, hand work over accurately under deadline and customer communication pressure, and escalate uncertainty or matters beyond your authority. Personality labels do not establish fit. Interest and personality tools can only help design trials; they cannot determine hiring eligibility or performance.
Taking responsibility for judgments | Fit depends on whether you can do three things within the same assignment: produce sound forms and records (check application and claims materials, verify accuracy and completeness, enter and update information according to rules, and create traceable records and reviewable forms and registers); manage rules and compliance (follow organizational and regulatory requirements for the scope of coverage and rules, personal and financial information handling boundaries, and payment and referral authorization); and accept clearly defined job responsibilities (take responsibility for your own verification and records, and seek guidance or refer underwriting conclusions, claims decisions, and payment authorization through the required process). Test this through a verifiable exercise, such as using entirely fictional policy and claims materials to complete form checks and a discrepancy list, rather than relying only on an interest questionnaire.
To assess whether insurance claims clerical work suits you, first conduct a verifiable exercise using public or simulated materials: create an entirely fictional policy modification and claim scenario, and outline the process from checking application and claims materials, verifying names, addresses, and coverage amounts, and deciding whether further documents are needed to entering and updating records according to rules, and submitting or referring the work. Mark checks and possible problems at each step (missing or inconsistent information, mismatched forms and records, unauthorized coverage explanations, mishandled personal and financial information, and payments or referrals beyond authorization). Afterwards, check whether information verification, the scope of applicable rules, and information handling boundaries are indispensable; underwriting or claims conclusions beyond your authority are referred for guidance or onward handling; and the process leaves reviewable records. All materials must be fictional; do not use real policy, claims, or customer information.
Fit signals | Work activities in O*NET 43-9041.00 primarily involve using computers, obtaining and processing information, communicating with supervisors, colleagues, and people outside the organization, and documenting information. If you are willing to consistently check, enter, and update forms and data under rules, and hand work over accurately and escalate under deadline and customer communication pressure, these daily requirements may align with your working style. Interest and personality tools are only for designing trials; they cannot determine hiring eligibility or performance.
Key judgments | O*NET work context data show: email daily, 100%; sitting continually or almost continually, 91%; telephone conversations daily, 83%; indoors in a controlled environment daily, 85%; exactness or accuracy extremely important, 65%; repeating the same tasks extremely important, 59%. Judgments rely on consistency between application materials and records, versions of rate and underwriting rules, and compliance requirements for personal information and payment authorization.
Research inputs | O*NET 43-9041.00 provides the precise occupational identity, tasks, work activities, and work context. The interest code is CE (Conventional—Enterprising), and the occupation is in Job Zones One to Two (55% report a high school diploma, 21% an associate or other two-year degree, and 9% some college without a degree). It is not marked Bright Outlook; the main industry is finance and insurance. Current U.S. national pay: a 2025 median of $49,230 per year; employment of 239,100 in 2025, declining growth for 2025—2035 (a grouped label of -1% or lower), and 17,500 average annual openings (an overall projection, not attributed to AI). The exact occupational wage gap for China remains; industry averages are broad references only.
The first checks concern the objects (policy and claims forms, policyholder and agent information, rates and underwriting rules), inputs (application and claims materials, rule versions, information handling and payment authorization), and deliverables (forms and data entry records, verification and discrepancy lists, records of requests for further documents and referrals). Anything unverified must remain pending verification; intuition based on experience or proxy categories cannot replace materials and rule versions.
Assess the complete workflow in four steps: check inputs (confirm application materials, rules, and authorization boundaries) → define the task (process only within authorization and the applicable scope of rules) → execute and document (verify, enter, and update information to standard with an audit trail) → review and escalate (stop immediately and report inconsistent information, disputed underwriting or claims conclusions, or payments or referrals beyond authorization). A complete workflow requires verifiable materials, rules, and authorization, rather than merely finishing on time.
Billing and posting | Core outputs are the entry and posting of bills and payments. This occupation focuses on policy and claims forms and information verification; objects and compliance boundaries differ, and shared data entry skills do not imply identical responsibilities.
Bookkeeping, accounting, and auditing clerical work | Core outputs are ledger records, reconciliations, and organized financial information. This occupation focuses on policy and claims materials; accounting scope and audit requirements differ, so roles cannot be interchanged based only on titles.
Claims adjusting, examining, and investigation | Core outputs concern claim liability, policy terms, and investigation findings. This occupation handles forms and verifies information; liability determination and settlement authority differ and must be checked separately.
Insurance underwriting | Core outputs are risk selection and determinations of coverage terms. This occupation processes and verifies materials under established rules; authority over underwriting conclusions differs and cannot be applied interchangeably.
Use of evidence | O*NET 43-9041.00 supports task context; possible AI assistance and human control points are editorial analysis on this page. Overall employment projections cover 2025—2035 and are not attributed to AI; they do not supply adoption rates, replacement rates, or effects.
Differences in impact | Different steps within the same occupation may be affected differently. Steps more readily represented in text and checked afterwards (form extraction, initial material screening, discrepancy lists, and communication drafts) are candidates for tool trials; actual efficiency must be tested using samples from the role. Steps involving verification conclusions, underwriting and claims determinations, payment authorization, and information protection require greater human responsibility.
Responsibility chain | From confirming materials and authorization through tool processing, human review, approval and payment, and recordkeeping, every step must have a clear responsible person and traceable evidence. Underwriting and claims conclusions and payment decisions must not rely solely on a model.
Turning point | Editorial judgment: tools may help improve information extraction and draft generation, but do not change who is responsible for information verification, underwriting and claims determinations, or payment authorization. A practical approach is to build strong rule application and information verification skills first, then introduce tools into low-risk steps that can be reviewed and traced.
Possible assistance: extracting form information, initially screening completeness and consistency, generating discrepancy lists, and drafting communications. These outputs can be checked afterwards, but original applications, records, and rule versions must still be revisited.
Human control points: revisit original materials and records, review key judgments, and take responsibility for verification conclusions, underwriting and claims determinations, payment authorization, and information protection.
Insufficient evidence: public occupational statistics in mainland China do not establish a national wage distribution for insurance claims clerks precisely corresponding to U.S. O*NET-SOC 43-9041.00. The National Bureau of Statistics publishes average wages by industry section without distinguishing occupations; the Ministry of Human Resources and Social Security's enterprise compensation survey uses broader occupational categories. This page does not fill the gap with industry averages, broad-category percentiles, advertised salaries, or U.S. data.
AI and pay boundaries | Tools may be considered for information organization trials when authorized. Insufficient evidence: data on AI adoption, actual efficiency, and causal effects on pay in this occupation were not obtained; wages are not inferred from task exposure.
Interpretation | This category helps explain the occupation's pay scale and direction of demand; it cannot serve as an individual quote or be compared directly with mainland China or any other market. Negative growth does not mean an individual will become unemployed, nor does it guarantee anyone employment.
Industry definition | The O*NET industry page identifies Finance and Insurance as the main U.S. industry for this occupation. Industry distribution, recruitment demand, and annual openings are different indicators and cannot be combined into a single growth rate.
Influencing factors | Employer type (insurers, agencies, or third-party services), region, insurance line, and degree of workflow automation affect actual income and its stability. The median on this page is a statistical position and does not correspond to a specific number of years of experience.
Positive signals | You can check materials and enter information to standard, identify omissions and inconsistencies, process work using the applicable rule version and retain traceable records, and hand work over accurately within compliance and authorization boundaries.
Caution conditions | Risk signals include skipping verification to save time, proceeding despite inconsistent forms and records, explaining coverage or reaching claims conclusions beyond your authority, and handling personal and financial information outside permitted boundaries. If repetitive checks, deadline pressure, and customer communication are difficult for you to tolerate, treat these as practical costs requiring serious consideration.
Trial action | Practice using entirely fictional policy and claims materials: complete form checks, discrepancy and further-document lists, and entry and update records. Test through observable deliverables rather than relying only on an interest questionnaire.
Conclusion | Activity preferences align more closely with a combination of following procedures and communicating in business settings (O*NET interest code CE). However, interest codes can only help design trials; they cannot determine hiring eligibility or performance.
Conclusion | This page provides no validation evidence that personality tests predict performance in this occupation. Continue checking against real tasks, responsibility boundaries, and reviewable deliverables rather than drawing conclusions from a single label.
Conclusion | RIASEC or personality frameworks can only help formulate questions; they cannot replace work samples, learning ability, qualifications, and actual performance evidence for this occupation. No tool conclusion constitutes a hiring, authorization, or appointment decision.
Unauthorized conclusion risk | Trigger: explaining coverage or reaching claims or settlement conclusions beyond job authority. Consequences: possible compliance risks and customer losses. Controls: follow rules and the authorization chain, referring difficult items to authorized personnel. Boundary: authorized personnel make underwriting and claims decisions under organizational and regulatory requirements.
Personal and financial information security risk | Trigger: processing, sharing, or sending policyholder and claims materials outside the authorized scope. Consequences: possible compliance risks and harm to rights and interests. Controls: handle information within the minimum necessary and authorized scope, retain processing records, and follow information security requirements. Boundary: security requirements follow regulations and organizational policies.
Common escalation rule | Whenever materials, rules, or authorization conditions are insufficient, first stop the relevant step and hand over the facts, impacts, and unresolved issues in reviewable records to an authorized responsible person. Do not override policy terms, professional opinions, or organizational authorization, or substitute model output for underwriting and claims conclusions.
Jurisdiction-specific requirements | For the United States, O*NET preparation information represents typical routes alongside job training. In mainland China, job entry, insurance, and personal information protection requirements are governed by relevant regulations and organizational policies and must be checked separately; they cannot be applied interchangeably.
Qualification boundaries | Courses, certificates, or employer training do not automatically confer occupational licensing, signing authority, or underwriting and claims decision authority. Education, certificates, licenses (where applicable), hiring, organizational authorization, and signing responsibility are distinct statuses; specific requirements depend on the role and applicable rules.
Responsibilities by stage | At entry and trial stages, check materials and enter information under supervision. At later stages, independently process policy and claims materials within job authorization, taking responsibility for verification conclusions and record consistency.
Reviewable evidence | Demonstrate ability using entirely fictional policy and claims materials: form checks, discrepancy and further-document lists, and entry and update records. Do not use real policy, claims, or customer information; state the basis and assumptions.
Next action | Complete a fictional policy and claims processing task package and review record. Ask an experienced person to challenge your verification judgments, rule application, and escalation route, then use the feedback to decide whether to invest further in this direction. Demonstrate ability through observable deliverables rather than course names.
Transfer paths | Before changing careers, list transferable skills (form and data checks, information system operation, rule application, customer communication, and recordkeeping and audit trails), then specify the tools, qualifications, and evidence of responsibility required for the new role. Moving into billing and posting, bookkeeping and accounting, claims and investigation, or underwriting requires the corresponding accounting, liability determination, or underwriting evidence.
Overall U.S. employment projection, not attributed to AI | O*NET 43-9041.00: employment of 239,100 in 2025, declining growth for 2025—2035 (a grouped label of -1% or lower), and 17,500 projected average annual openings (including growth and replacement needs). Insufficient evidence: a national employment projection and a standardized recruitment sample for this occupation in China were not obtained; these figures cannot be converted into individual hiring probabilities.
Transferable skills | Shared foundations in related directions include form and data checks, information system operation, understanding rules and processes, customer communication, and recordkeeping and audit trails. Each path still requires the tools, qualifications, and evidence of responsibility corresponding to its new outputs and obligations.
Skill gaps | Moving into neighboring fields such as billing and posting, bookkeeping, accounting and auditing, claims adjusting and investigation, or underwriting requires the corresponding accounting, liability determination, investigation, or underwriting evidence. Proximity supports comparison of directions; it does not mean automatic job transfer or mutual recognition of qualifications.
Generative AI can assist with extracting form information, initially screening materials for completeness and consistency, and drafting discrepancy lists and communications. People remain responsible within their authorization for verification conclusions, coverage explanations, claims and payment decisions, and personal and financial information handling. Task exposure does not mean job replacement or widespread adoption; this page provides no replacement probability or timetable.
Tool output cannot replace information verification or judgments about rules. People must revisit original materials and records, review key judgments, and take responsibility for verification conclusions, form and record consistency, payment authorization, and information protection. Authorized personnel make underwriting and claims conclusions through the authorization chain.
Insufficient evidence: Chinese statistical tables do not provide single-occupation wages for insurance claims clerks precisely corresponding to O*NET 43-9041.00. The National Bureau of Statistics publishes average wages by industry section, and the Ministry of Human Resources and Social Security's enterprise compensation survey uses broader occupational categories. Neither can stand in for this occupation's national median. This page shows the gap rather than filling it with industry averages, broad-category percentiles, or U.S. data.
According to BLS 2025 data presented by O*NET (the precise occupation 43-9041.00): median annual pay is $49,230, the 10th percentile is $37,560, and the 90th percentile is $73,590. The O*NET summary page does not list the 25 / 75 percentiles, so this page does not publish them. OEWS covers employer-reported wages, excluding benefits and bonuses; percentiles are not starting salaries or individual take-home income.
O*NET preparation information places this occupation in Job Zones One to Two: it typically requires a high school diploma or equivalent (55% report a high school diploma, 21% an associate or other two-year degree, and 9% some college without a degree). On-the-job training ranges from a few days to a year, and registered apprenticeship routes exist. Entry should combine product and system training with verifiable work samples. Education, certificates, permits, hiring, organizational authorization, and signing authority must be checked separately.
The main risks fall into four categories: information verification, form and record consistency, unauthorized conclusions, and personal and financial information security. Key controls are to document verification checklists and discrepancies, original materials and change trails, rules and the authorization chain, and minimum necessary and information security requirements, and to stop immediately and report when materials, rules, or authorization conditions are insufficient.
For the United States, the precise BLS occupational category presented by O*NET shows approximately 256,700 employed in 2024, approximately 247,200 projected in 2034, -4% growth for 2024—2034, and 20,300 projected average annual openings. Openings include growth and replacement needs; they are not net new jobs and cannot be converted directly into recruitment volume or individual hiring probabilities.
This page does not draw employment or hiring conclusions. It provides a verifiable trial route: use entirely fictional policy and claims materials to complete form checks, discrepancy and further-document lists, and entry and update records. Decide whether to continue based on observable deliverables rather than only an interest questionnaire or promotional claims.
Evidence for China, the United States, global contexts, and specific jurisdictions is stated separately; conclusions about pay, employment, qualifications, safety, and AI must not be combined across scopes. The insurance claims clerk page provides career decision and safe trial information; it does not replace local legal, medical, financial, safety, professional practice, or other professional advice. Any statement of insufficient evidence means only that a bounded search did not establish reliable data; proxies or model memory must not be used to fabricate figures. This page covers only the precise O*NET / SOC occupation 43-9041.00, Insurance Claims and Policy Processing Clerks.
Requirements for protecting customer information at covered financial institutions.
Applicability and specific obligations depend on the institution and business.
Federal Trade Commission
United States
current safeguards guidance
official compliance guidance
Industry reference
Applicability and specific obligations depend on the institution and business.
2026-08-31
Generative AI generally changes task composition; exposure does not mean jobs disappear.
Global research cannot replace local causal projections for this occupation.
International Labour Organization
Global
2025 update
official labor research
Industry reference
Global research cannot replace local causal projections for this occupation.
2026-08-31
Boundaries of broad occupational categories in the enterprise compensation survey.
Broad-category percentiles cannot stand in for the precise occupation's median.
Ministry of Human Resources and Social Security
China
2025 enterprise wage survey
official wage survey
Broader occupation reference
Broad-category percentiles cannot stand in for the precise occupation's median.
2026-08-31
Industry wages, including finance, and statistical definition boundaries.
Industry average wages cannot replace precise occupational distributions.
National Bureau of Statistics
China
2025 wage data
official wage statistics
Industry reference
Industry average wages cannot replace precise occupational distributions.
2026-08-31
A voluntary framework for identifying and managing privacy risks.
A voluntary framework is neither legal advice nor a single compliance checklist.
National Institute of Standards and Technology
United States
current privacy framework
official risk framework
Industry reference
A voluntary framework is neither legal advice nor a single compliance checklist.
2026-08-31
Occupational identity, tasks, objects, and work context.
U.S. occupational definitions do not directly equate to Chinese roles.
O*NET OnLine / U.S. Department of Labor
United States
O*NET updated 2026
official occupational profile
Occupation-specific
U.S. occupational definitions do not directly equate to Chinese roles.
2026-08-31
Employment size, growth, and average annual openings.
Projections are not individual employment guarantees.
O*NET OnLine / U.S. Department of Labor
United States
2024-2034 projections
official employment projection
Occupation-specific
Projections are not individual employment guarantees.
2026-08-31
Wage distribution for the precise U.S. occupation.
The national distribution does not represent an individual quote.
O*NET OnLine / U.S. Department of Labor
United States
2025 wage data
official wage data
Occupation-specific
The national distribution does not represent an individual quote.
2026-08-31
Used to check the occupational scope, tasks, skills, and work context of O*NET 43-9041.00.
Applies only to this O*NET occupation and the U.S. market; does not establish a Chinese mapping, Chinese wages, or legal authorization.
O*NET OnLine
United States
current page; accessed 2026-09-02
official custom occupation profile
Occupation-specific
Applies only to this O*NET occupation and the U.S. market; does not establish a Chinese mapping, Chinese wages, or legal authorization.
2026-09-01
Used to check occupational identity, tasks, work activities, and work context.
Applies only to this O*NET occupation and the U.S. market; does not establish a Chinese mapping, Chinese wages, or legal authorization.
O*NET OnLine
United States
current page; accessed 2026-09-02
official occupation details
Occupation-specific
Applies only to this O*NET occupation and the U.S. market; does not establish a Chinese mapping, Chinese wages, or legal authorization.
2026-09-01
Used to check the hot technology list associated with this occupation.
Technology mentions do not establish capability, adoption, or the extent of automation.
O*NET OnLine
United States
current page; accessed 2026-09-02
official technology profile
Occupation-specific
Applies only to this O*NET occupation and the U.S. market; does not establish a Chinese mapping, Chinese wages, or legal authorization.
2026-09-01
Used to check this occupation's main industry distribution (finance and insurance).
Industry distribution does not establish a Chinese mapping.
O*NET OnLine
United States
current page; accessed 2026-09-02
official industry distribution
Occupation-specific
Applies only to this O*NET occupation and the U.S. market; does not establish a Chinese mapping, Chinese wages, or legal authorization.
2026-09-01
Used to check the national certification search entry point related to this occupation.
Certification or training does not confer underwriting or claims decision authority.
O*NET OnLine
United States
current page; accessed 2026-09-02
official certification discovery
Occupation-specific
Applies only to this O*NET occupation and the U.S. market; does not establish a Chinese mapping, Chinese wages, or legal authorization.
2026-09-01
Used to check training and apprenticeship routes related to this occupation.
Training does not replace hiring or organizational authorization.
O*NET OnLine
United States
current page; accessed 2026-09-02
official local training discovery
Occupation-specific
Applies only to this O*NET occupation and the U.S. market; does not establish a Chinese mapping, Chinese wages, or legal authorization.
2026-09-01
Used to check this page's U.S. wage definition: the precise occupation 43-9041.00, with 2025 median annual pay of $49,230 and 10 / 90 percentile pay of $37,560 / 73,590 (the summary page does not list other percentiles).
Retains the displayed period, employed population, geography, and units; failed direct access to BLS does not affect the O*NET page already opened.
O*NET / U.S. Bureau of Labor Statistics
United States
2025 BLS OEWS wage data displayed by O*NET OnLine
O*NET display of BLS OEWS wage data
Occupation-specific
BLS OEWS wage data presented by O*NET OnLine; retains the period, employed population, geography, and units.
2026-09-01
Used to check occupational identity, entry requirements, and employment outlook entry points (employment and outlook use the precise occupational category 43-9041.00).
Applies only to this O*NET occupation and the U.S. market; does not establish a Chinese mapping, Chinese wages, or legal authorization.
O*NET OnLine
United States
2025 BLS OEWS wage data displayed by O*NET OnLine
official occupation summary
Occupation-specific
Applies only to this O*NET occupation and the U.S. market; does not establish a Chinese mapping, Chinese wages, or legal authorization.
2026-09-01