コンピュータビジョンエンジニア

コンピュータ・数学

この職業のデータ連携を点検中のため、一部の数値を一時的に表示していません。

AI露出度

データ出典: BLS公表時点: 2026-08
非常に高い· 相対
低い4段階の相対区分非常に高い
職業群単位の値
尺度・母数・出典
4段階の相対区分（低い / 中程度 / 高い / 非常に高い）
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
出典データセット（XLSX ファイルのダウンロード）
データ出典: Anthropic公表時点: 2026-03
0.461
0.000ここに掲載された値の範囲0.745
尺度・母数・出典
観測エクスポージャー指数、公開されたまま0–1
O*NETタスクへの対応づけが基準
出典データセット

この出典がどのような性格の値か

BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。

Task-level exposure

露出のある作業のみ

Task	Claude.aiRaw / share %	APIRaw / share %
Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. 15-2051	0.360026.7	0.06003.7
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders. 15-2051	0.180013.3	0.330020.1
Maintain or update business intelligence tools, databases, dashboards, systems, or methods. 15-2051	0.150011.1	0.230014.0
Write new functions or applications in programming languages to conduct analyses. 15-2051	0.12008.9	0.10006.1
Prepare data analysis listings and activity, performance, or progress reports. 15-2051	0.07005.2	0.14008.5
Synthesize current business intelligence or trend data to support recommendations for action. 15-2051	0.06004.4	0.15009.1
Prepare appropriate formatting to data sets as requested. 15-2051	0.06004.4	0.15009.1
Provide technical support for existing reports, dashboards, or other tools. 15-2051	0.05003.7	0.02001.2
Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency. 15-2051	0.04003.0	0.01000.6
Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques. 15-2051	0.04003.0	0.00000.0
Analyze, manipulate, or process large sets of data using statistical software. 15-2051	0.03002.2	0.12007.3
Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis. 15-2051	0.02001.5	0.06003.7
Collect business intelligence data from available industry reports, public information, field reports, or purchased sources. 15-2051	0.02001.5	0.03001.8
Analyze competitive market strategies through analysis of related product, market, or share trends. 15-2051	0.02001.5	0.02001.2
Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs. 15-2051	0.02001.5	0.00000.0
Clean and manipulate raw data using statistical software. 15-2051	0.02001.5	—0
Identify or monitor current and potential customers, using business intelligence tools. 15-2051	0.01000.7	0.06003.7
Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems. 15-2051	0.01000.7	0.05003.0
Create or review technical design documentation to ensure the accurate development of reporting solutions. 15-2051	0.01000.7	0.02001.2
Identify relationships and trends or any factors that could affect the results of research. 15-2051	0.01000.7	0.02001.2
Identify and analyze industry or geographic trends with business strategy implications. 15-2051	0.01000.7	0.01000.6
Analyze clinical data using appropriate statistical tools. 15-2051	0.01000.7	0.01000.6
Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest. 15-2051	0.01000.7	0.01000.6
Write work instruction manuals, data capture guidelines, or standard operating procedures. 15-2051	0.01000.7	0.00000.0
Recommend data-driven solutions to key stakeholders. 15-2051	0.01000.7	0.00000.0
Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data. 15-2051	0.00000.0	0.01000.6
Compare models using statistical performance metrics, such as loss functions or proportion of explained variance. 15-2051	0.00000.0	0.00000.0
Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users. 15-2051	0.00000.0	0.00000.0
Maintain library of model documents, templates, or other reusable knowledge assets. 15-2051	0.00000.0	—0
Train staff on technical procedures or software program usage. 15-2051	0.00000.0	—0
Monitor work productivity or quality to ensure compliance with standard operating procedures.	—0	0.02001.2
Process clinical data, including receipt, entry, verification, or filing of information.	—0	0.01000.6
他 18 件の作業を表示 ▾折りたたむ ▴
Disseminate information regarding tools, reports, or metadata enhancements.	—0	0.00000.0
Develop technical specifications for data management programming and communicate needs to information technology staff.	—0	0.00000.0
Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes.	—0	0.00000.0
Not observed on any surface — 19 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states.
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.	—0	—0
Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.	—0	—0
Design surveys, opinion polls, or other instruments to collect data.	—0	—0
Identify business problems or management objectives that can be addressed through data analysis.	—0	—0
Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.	—0	—0
Communicate with customers, competitors, suppliers, professional organizations, or others to stay abreast of industry or business trends.	—0	—0
Manage timely flow of business intelligence information to users.	—0	—0
Document specifications for business intelligence or information technology reports, dashboards, or other outputs.	—0	—0
Conduct or coordinate tests to ensure that intelligence is consistent with defined needs.	—0	—0
Analyze technology trends to identify markets for future product development or to improve sales of existing products.	—0	—0
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.	—0	—0
Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.	—0	—0
Track the flow of work forms, including in-house data flow or electronic forms transfer.	—0	—0
Supervise the work of data management project staff.	—0	—0
Design and validate clinical databases, including designing or testing logic checks.	—0	—0
Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols.	—0	—0
Design forms for receiving, processing, or tracking data.	—0	—0
Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs.	—0	—0
Develop or select specific software programs for various research scenarios.	—0	—0

Data sources & licenses — O*NET®, Anthropic Economic Index: see full notices on the Credits page

AI露出度

Task-level exposure

職業情報