AI job titles, with the data that’s actually sourceable

Occupation

Software Developers (15-1252)

Occupation median pay

$135,980

Growth 2024–34

+15.8%

Openings / yr

~115,200

Typical entry

Bachelor's degree

Primarily software-engineering work integrating ML models and LLMs into applications; the employer signal (Python, AWS, API, LLM) straddles Software Developers and Data Scientists, with Software Developers the nearest single occupation.

This is the nearest established occupation, shown as a proxy — pay is set by the occupation and location, not by the job title or by AI, and entry roles sit below the median. Median: BLS OEWS 2025-05. Growth/openings/education: BLS Employment Projections 2024-2034.

See the full cited role page →

Certifications named: nonein this sample — for these roles employers list skills, not certs. (A real signal for AI/ML work; it differs sharply from, say, network roles, where CCNA is named often.)

Example companies in the pool (alphabetical): 1Password, Affirm, Airbnb, Anthropic, Asana, Aviatrix, BeyondTrust, Booz Allen Hamilton

Pooled across AI/ML job postings: there is no title-specific posting sample for this title yet, so this is the nearest matching hiring pool.

Based on a sample of 753 public job postings (June 2026). Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence. This is a sample of public postings, not representative of the whole market.

Measured usage of one AI tool (Claude conversations mapped to this occupation's O*NET tasks), May 2026, from the Anthropic Economic Index (CC-BY). 'Augmentation' means a person worked through a task with AI; 'automation' means the task was delegated. This is descriptive of how AI is used, not job loss, not automation risk, not an AI-exposure score, and not a prediction. A higher automation share does not mean a role is 'more at risk.'

Across all occupations the May 2026 split was 51.4% augmentation / 48.6% automation; most tech desk-roles skew toward automation-style (delegation) usage, which is a fact about how people prompt the tool for those tasks, not a statement that those jobs are more automatable.

Source: Anthropic Economic Index (release 2026-06-26), data licensed CC-BY, via Hugging Face Anthropic/EconomicIndex. Massenkoff, Lyubich, Sacher, Hitzig, Zhang, Heller & McCrory (2026), Anthropic Economic Index report: Cadences.

Occupation

Information Security Analysts (15-1212)

Occupation median pay

$129,180

Growth 2024–34

+28.5%

Openings / yr

~16,000

Typical entry

Bachelor's degree

Security engineering applied to AI/ML systems; nearest occupation is Information Security Analysts.

This is the nearest established occupation, shown as a proxy — pay is set by the occupation and location, not by the job title or by AI, and entry roles sit below the median. Median: BLS OEWS 2025-05. Growth/openings/education: BLS Employment Projections 2024-2034.

See the full cited role page →

Certifications named: Security+ (16), CCNA (9), PMP (2), CySA+ (1), Network+ (1)

Example companies in the pool (alphabetical): 1Password, Affirm, Asana, Automox, Bishop Fox, Bitwarden, Booz Allen Hamilton, Box

Based on a sample of 108 public job postings (June 2026). Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence. This is a sample of public postings, not representative of the whole market.

Measured usage of one AI tool (Claude conversations mapped to this occupation's O*NET tasks), May 2026, from the Anthropic Economic Index (CC-BY). 'Augmentation' means a person worked through a task with AI; 'automation' means the task was delegated. This is descriptive of how AI is used, not job loss, not automation risk, not an AI-exposure score, and not a prediction. A higher automation share does not mean a role is 'more at risk.'

Across all occupations the May 2026 split was 51.4% augmentation / 48.6% automation; most tech desk-roles skew toward automation-style (delegation) usage, which is a fact about how people prompt the tool for those tasks, not a statement that those jobs are more automatable.

Source: Anthropic Economic Index (release 2026-06-26), data licensed CC-BY, via Hugging Face Anthropic/EconomicIndex. Massenkoff, Lyubich, Sacher, Hitzig, Zhang, Heller & McCrory (2026), Anthropic Economic Index report: Cadences.

Occupation

Software Developers (15-1252)

Occupation median pay

$135,980

Growth 2024–34

+15.8%

Openings / yr

~115,200

Typical entry

Bachelor's degree

Architecture-level design of AI/ML systems; the work straddles Software Developers and Computer Systems Engineers/Architects with no clean single occupation, so the anchor is low confidence.

This is the nearest established occupation, shown as a proxy — pay is set by the occupation and location, not by the job title or by AI, and entry roles sit below the median. Median: BLS OEWS 2025-05. Growth/openings/education: BLS Employment Projections 2024-2034.

See the full cited role page →

Certifications named: nonein this sample — for these roles employers list skills, not certs. (A real signal for AI/ML work; it differs sharply from, say, network roles, where CCNA is named often.)

Example companies in the pool (alphabetical): 1Password, Affirm, Airbnb, Anthropic, Asana, Aviatrix, BeyondTrust, Booz Allen Hamilton

Pooled across AI/ML job postings: there is no title-specific posting sample for this title yet, so this is the nearest matching hiring pool.

Based on a sample of 753 public job postings (June 2026). Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence. This is a sample of public postings, not representative of the whole market.

Measured usage of one AI tool (Claude conversations mapped to this occupation's O*NET tasks), May 2026, from the Anthropic Economic Index (CC-BY). 'Augmentation' means a person worked through a task with AI; 'automation' means the task was delegated. This is descriptive of how AI is used, not job loss, not automation risk, not an AI-exposure score, and not a prediction. A higher automation share does not mean a role is 'more at risk.'

Across all occupations the May 2026 split was 51.4% augmentation / 48.6% automation; most tech desk-roles skew toward automation-style (delegation) usage, which is a fact about how people prompt the tool for those tasks, not a statement that those jobs are more automatable.

Source: Anthropic Economic Index (release 2026-06-26), data licensed CC-BY, via Hugging Face Anthropic/EconomicIndex. Massenkoff, Lyubich, Sacher, Hitzig, Zhang, Heller & McCrory (2026), Anthropic Economic Index report: Cadences.

Occupation

Data Scientists (15-2051)

Occupation median pay

$120,230

Growth 2024–34

+33.5%

Openings / yr

~23,400

Typical entry

Bachelor's degree

RoleMath role-spine umbrella for applied AI work; the Data Scientists anchor is provisional and senior-skewed, so entry pay sits well below the occupation median.

This is the nearest established occupation, shown as a proxy — pay is set by the occupation and location, not by the job title or by AI, and entry roles sit below the median. Median: BLS OEWS 2025-05. Growth/openings/education: BLS Employment Projections 2024-2034.

See the full cited role page →

Certifications named: nonein this sample — for these roles employers list skills, not certs. (A real signal for AI/ML work; it differs sharply from, say, network roles, where CCNA is named often.)

Example companies in the pool (alphabetical): 1Password, Affirm, Airbnb, Anthropic, Asana, Aviatrix, BeyondTrust, Booz Allen Hamilton

Based on a sample of 753 public job postings (June 2026). Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence. This is a sample of public postings, not representative of the whole market.

Measured usage of one AI tool (Claude conversations mapped to this occupation's O*NET tasks), May 2026, from the Anthropic Economic Index (CC-BY). 'Augmentation' means a person worked through a task with AI; 'automation' means the task was delegated. This is descriptive of how AI is used, not job loss, not automation risk, not an AI-exposure score, and not a prediction. A higher automation share does not mean a role is 'more at risk.'

Across all occupations the May 2026 split was 51.4% augmentation / 48.6% automation; most tech desk-roles skew toward automation-style (delegation) usage, which is a fact about how people prompt the tool for those tasks, not a statement that those jobs are more automatable.

Source: Anthropic Economic Index (release 2026-06-26), data licensed CC-BY, via Hugging Face Anthropic/EconomicIndex. Massenkoff, Lyubich, Sacher, Hitzig, Zhang, Heller & McCrory (2026), Anthropic Economic Index report: Cadences.

Occupation

Data Scientists (15-2051)

Occupation median pay

$120,230

Growth 2024–34

+33.5%

Openings / yr

~23,400

Typical entry

Bachelor's degree

Specializes in image and video machine learning; BLS folds this work into Data Scientists, and public postings are senior and research-skewed, so entry pay sits below the occupation median.

This is the nearest established occupation, shown as a proxy — pay is set by the occupation and location, not by the job title or by AI, and entry roles sit below the median. Median: BLS OEWS 2025-05. Growth/openings/education: BLS Employment Projections 2024-2034.

See the full cited role page →

Certifications named: nonein this sample — for these roles employers list skills, not certs. (A real signal for AI/ML work; it differs sharply from, say, network roles, where CCNA is named often.)

Example companies in the pool (alphabetical): 1Password, Affirm, Airbnb, Anthropic, Asana, Aviatrix, BeyondTrust, Booz Allen Hamilton

Pooled across AI/ML job postings: there is no title-specific posting sample for this title yet, so this is the nearest matching hiring pool.

Based on a sample of 753 public job postings (June 2026). Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence. This is a sample of public postings, not representative of the whole market.

Measured usage of one AI tool (Claude conversations mapped to this occupation's O*NET tasks), May 2026, from the Anthropic Economic Index (CC-BY). 'Augmentation' means a person worked through a task with AI; 'automation' means the task was delegated. This is descriptive of how AI is used, not job loss, not automation risk, not an AI-exposure score, and not a prediction. A higher automation share does not mean a role is 'more at risk.'

Across all occupations the May 2026 split was 51.4% augmentation / 48.6% automation; most tech desk-roles skew toward automation-style (delegation) usage, which is a fact about how people prompt the tool for those tasks, not a statement that those jobs are more automatable.

Source: Anthropic Economic Index (release 2026-06-26), data licensed CC-BY, via Hugging Face Anthropic/EconomicIndex. Massenkoff, Lyubich, Sacher, Hitzig, Zhang, Heller & McCrory (2026), Anthropic Economic Index report: Cadences.

Occupation

Software Developers (15-1252)

Occupation median pay

$135,980

Growth 2024–34

+15.8%

Openings / yr

~115,200

Typical entry

Bachelor's degree

Builds the data pipelines that feed ML systems; nearest occupation is Software Developers (Database Architects is an alternate).

This is the nearest established occupation, shown as a proxy — pay is set by the occupation and location, not by the job title or by AI, and entry roles sit below the median. Median: BLS OEWS 2025-05. Growth/openings/education: BLS Employment Projections 2024-2034.

See the full cited role page →

Certifications named: nonein this sample — for these roles employers list skills, not certs. (A real signal for AI/ML work; it differs sharply from, say, network roles, where CCNA is named often.)

Example companies in the pool (alphabetical): 1Password, Affirm, Airbnb, Anthropic, Asana, Aviatrix, BeyondTrust, Booz Allen Hamilton

Pooled across AI/ML job postings: there is no title-specific posting sample for this title yet, so this is the nearest matching hiring pool.

Based on a sample of 753 public job postings (June 2026). Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence. This is a sample of public postings, not representative of the whole market.

Measured usage of one AI tool (Claude conversations mapped to this occupation's O*NET tasks), May 2026, from the Anthropic Economic Index (CC-BY). 'Augmentation' means a person worked through a task with AI; 'automation' means the task was delegated. This is descriptive of how AI is used, not job loss, not automation risk, not an AI-exposure score, and not a prediction. A higher automation share does not mean a role is 'more at risk.'

Across all occupations the May 2026 split was 51.4% augmentation / 48.6% automation; most tech desk-roles skew toward automation-style (delegation) usage, which is a fact about how people prompt the tool for those tasks, not a statement that those jobs are more automatable.

Source: Anthropic Economic Index (release 2026-06-26), data licensed CC-BY, via Hugging Face Anthropic/EconomicIndex. Massenkoff, Lyubich, Sacher, Hitzig, Zhang, Heller & McCrory (2026), Anthropic Economic Index report: Cadences.

Occupation

Software Developers (15-1252)

Occupation median pay

$135,980

Growth 2024–34

+15.8%

Openings / yr

~115,200

Typical entry

Bachelor's degree

Infrastructure and DevOps work for ML systems; straddles Software Developers and Network/Systems Administrators with a thin standalone public-posting sample, so the anchor is low confidence.

This is the nearest established occupation, shown as a proxy — pay is set by the occupation and location, not by the job title or by AI, and entry roles sit below the median. Median: BLS OEWS 2025-05. Growth/openings/education: BLS Employment Projections 2024-2034.

See the full cited role page →

Certifications named: nonein this sample — for these roles employers list skills, not certs. (A real signal for AI/ML work; it differs sharply from, say, network roles, where CCNA is named often.)

Example companies in the pool (alphabetical): 1Password, Affirm, Airbnb, Anthropic, Asana, Aviatrix, BeyondTrust, Booz Allen Hamilton

Pooled across AI/ML job postings: there is no title-specific posting sample for this title yet, so this is the nearest matching hiring pool.

Based on a sample of 753 public job postings (June 2026). Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence. This is a sample of public postings, not representative of the whole market.

Measured usage of one AI tool (Claude conversations mapped to this occupation's O*NET tasks), May 2026, from the Anthropic Economic Index (CC-BY). 'Augmentation' means a person worked through a task with AI; 'automation' means the task was delegated. This is descriptive of how AI is used, not job loss, not automation risk, not an AI-exposure score, and not a prediction. A higher automation share does not mean a role is 'more at risk.'

Across all occupations the May 2026 split was 51.4% augmentation / 48.6% automation; most tech desk-roles skew toward automation-style (delegation) usage, which is a fact about how people prompt the tool for those tasks, not a statement that those jobs are more automatable.

Source: Anthropic Economic Index (release 2026-06-26), data licensed CC-BY, via Hugging Face Anthropic/EconomicIndex. Massenkoff, Lyubich, Sacher, Hitzig, Zhang, Heller & McCrory (2026), Anthropic Economic Index report: Cadences.

Occupation

Data Scientists (15-2051)

Occupation median pay

$120,230

Growth 2024–34

+33.5%

Openings / yr

~23,400

Typical entry

Bachelor's degree

BLS folds machine-learning modeling work into Data Scientists; public postings are senior and research-skewed, so entry pay sits below the occupation median.

This is the nearest established occupation, shown as a proxy — pay is set by the occupation and location, not by the job title or by AI, and entry roles sit below the median. Median: BLS OEWS 2025-05. Growth/openings/education: BLS Employment Projections 2024-2034.

See the full cited role page →

Certifications named: nonein this sample — for these roles employers list skills, not certs. (A real signal for AI/ML work; it differs sharply from, say, network roles, where CCNA is named often.)

Example companies in the pool (alphabetical): 1Password, Affirm, Airbnb, Anthropic, Asana, Aviatrix, BeyondTrust, Booz Allen Hamilton

Pooled across AI/ML job postings: there is no title-specific posting sample for this title yet, so this is the nearest matching hiring pool.

Based on a sample of 753 public job postings (June 2026). Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence. This is a sample of public postings, not representative of the whole market.

Measured usage of one AI tool (Claude conversations mapped to this occupation's O*NET tasks), May 2026, from the Anthropic Economic Index (CC-BY). 'Augmentation' means a person worked through a task with AI; 'automation' means the task was delegated. This is descriptive of how AI is used, not job loss, not automation risk, not an AI-exposure score, and not a prediction. A higher automation share does not mean a role is 'more at risk.'

Across all occupations the May 2026 split was 51.4% augmentation / 48.6% automation; most tech desk-roles skew toward automation-style (delegation) usage, which is a fact about how people prompt the tool for those tasks, not a statement that those jobs are more automatable.

Source: Anthropic Economic Index (release 2026-06-26), data licensed CC-BY, via Hugging Face Anthropic/EconomicIndex. Massenkoff, Lyubich, Sacher, Hitzig, Zhang, Heller & McCrory (2026), Anthropic Economic Index report: Cadences.

Occupation

Data Scientists (15-2051)

Occupation median pay

$120,230

Growth 2024–34

+33.5%

Openings / yr

~23,400

Typical entry

Bachelor's degree

Specializes in language and large-language-model machine learning; BLS folds this work into Data Scientists; the sample is senior-skewed.

This is the nearest established occupation, shown as a proxy — pay is set by the occupation and location, not by the job title or by AI, and entry roles sit below the median. Median: BLS OEWS 2025-05. Growth/openings/education: BLS Employment Projections 2024-2034.

See the full cited role page →

Certifications named: nonein this sample — for these roles employers list skills, not certs. (A real signal for AI/ML work; it differs sharply from, say, network roles, where CCNA is named often.)

Example companies in the pool (alphabetical): 1Password, Affirm, Airbnb, Anthropic, Asana, Aviatrix, BeyondTrust, Booz Allen Hamilton

Pooled across AI/ML job postings: there is no title-specific posting sample for this title yet, so this is the nearest matching hiring pool.

Based on a sample of 753 public job postings (June 2026). Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence. This is a sample of public postings, not representative of the whole market.

Measured usage of one AI tool (Claude conversations mapped to this occupation's O*NET tasks), May 2026, from the Anthropic Economic Index (CC-BY). 'Augmentation' means a person worked through a task with AI; 'automation' means the task was delegated. This is descriptive of how AI is used, not job loss, not automation risk, not an AI-exposure score, and not a prediction. A higher automation share does not mean a role is 'more at risk.'

Across all occupations the May 2026 split was 51.4% augmentation / 48.6% automation; most tech desk-roles skew toward automation-style (delegation) usage, which is a fact about how people prompt the tool for those tasks, not a statement that those jobs are more automatable.

Source: Anthropic Economic Index (release 2026-06-26), data licensed CC-BY, via Hugging Face Anthropic/EconomicIndex. Massenkoff, Lyubich, Sacher, Hitzig, Zhang, Heller & McCrory (2026), Anthropic Economic Index report: Cadences.

No single clean federal occupation — the work straddles Project Management Specialists (13-1082), management, and computer occupations. RoleMath withholds a single pay anchor and shows the employer hiring signal instead.

Candidate occupations: Project Management Specialists (13-1082), Computer & Information Systems Managers (11-3021), Data Scientists (15-2051). We withhold a single pay figure rather than pick one.

Certifications named: nonein this sample — for these roles employers list skills, not certs. (A real signal for AI/ML work; it differs sharply from, say, network roles, where CCNA is named often.)

Example companies in the pool (alphabetical): 1Password, Affirm, Airbnb, Anthropic, Asana, Aviatrix, BeyondTrust, Booz Allen Hamilton

Pooled across AI/ML job postings: there is no title-specific posting sample for this title yet, so this is the nearest matching hiring pool.

Based on a sample of 753 public job postings (June 2026). Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence. This is a sample of public postings, not representative of the whole market.

Certifications named: nonein this sample — for these roles employers list skills, not certs. (A real signal for AI/ML work; it differs sharply from, say, network roles, where CCNA is named often.)

Example companies in the pool (alphabetical): 1Password, Affirm, Airbnb, Anthropic, Asana, Aviatrix, BeyondTrust, Booz Allen Hamilton

Pooled across AI/ML job postings: there is no title-specific posting sample for this title yet, so this is the nearest matching hiring pool.

Based on a sample of 753 public job postings (June 2026). Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence. This is a sample of public postings, not representative of the whole market.

Measured usage of one AI tool (Claude conversations mapped to this occupation's O*NET tasks), May 2026, from the Anthropic Economic Index (CC-BY). 'Augmentation' means a person worked through a task with AI; 'automation' means the task was delegated. This is descriptive of how AI is used, not job loss, not automation risk, not an AI-exposure score, and not a prediction. A higher automation share does not mean a role is 'more at risk.'

Across all occupations the May 2026 split was 51.4% augmentation / 48.6% automation; most tech desk-roles skew toward automation-style (delegation) usage, which is a fact about how people prompt the tool for those tasks, not a statement that those jobs are more automatable.

Source: Anthropic Economic Index (release 2026-06-26), data licensed CC-BY, via Hugging Face Anthropic/EconomicIndex. Massenkoff, Lyubich, Sacher, Hitzig, Zhang, Heller & McCrory (2026), Anthropic Economic Index report: Cadences.