Visible linkage between page claims, source rows, citation IDs, freshness, and review state.
role
AI Specialist
Explore AI Specialist with BLS/O*NET wage, outlook, skill, and task evidence plus source-backed certification options.
See my realistic path to AI SpecialistNext source review 2026-10-12.
Certification details change. Always confirm final pricing, availability, and credential terms on the official provider page linked in the sources below before you pay for anything.
What the numbers say about this work
Government occupation data for the role this maps to — Data Scientists (SOC 15-2051). This is planning context for the occupation, not a salary or a job this role guarantees you.
- Median pay (occupation)
- $120,230 / yr · $67,240 to $199,130 (10th–90th percentile)
- Projected change (2024–34)
- +33.5% · ~23.4k openings/yr
- Typical entry education
- Bachelor's degree
BLS OEWS — occupation-level, national · checked BLS Employment Projections 2024–34 · checked This role uses a broad O*NET-SOC/BLS occupation mapping. Treat salary, outlook, and task data as occupation-level evidence, not a guarantee for this exact job title.
What it pays by metro
The national median hides a wide geographic spread. Below is the occupation’s median in some of the highest-paying and largest-employment metros, adjusted for local prices — regional price-level context, not take-home pay or a salary this role guarantees you.
| Metro | Nominal median | Cost-adjusted |
|---|---|---|
| San Jose, CA | $185,080 | $167,610 |
| Seattle, WA | $164,740 | $148,237 |
| San Francisco, CA | $170,110 | $147,137 |
| Charlotte, NC | $132,460 | $136,069 |
| Austin, TX | $127,360 | $129,872 |
| Baltimore, MD | $134,320 | $128,552 |
See all metros and how this is calculated → Sources: BLS OEWS (May 2025), occupation-level metro median ÷ BEA Regional Price Parities (2024, US=100).
What this work involves
The tasks the U.S. Department of Labor’s O*NET lists most central to this occupation — role-fit evidence to weigh against your background, not a measure of employer demand.
- Analyze, manipulate, or process large sets of data using statistical software.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
What employers name in current openings
The skills and certifications most often named in a balanced sample of 772 public job postings from at least 72 employers and 4 source families. Treat it as a to-learn list — it is dated hiring language, not total demand, personal hiring odds, or salary.
Most-named skills
- Machine learning 440
- Python 382
- LLM 313
- PyTorch 134
- AWS 132
- OpenAI 130
- SQL 126
- API 108
- Problem solving 107
- Okta 92
- Asana 90
- GCP 85
Certifications named
- CCNA 1
- Security+ 1
Compare what employers ask across roles → Qualitative employer-language sample only; do not use as official demand, market-size, salary, or certification ROI evidence.
Evidence stack
How we know this
Evidence chips, posture, citations, and blocked-claim boundary.
3 visible citations
Whether a page has current, partial, stale, missing, or blocked source coverage.
How recently the source must be checked before a claim or page can render as current.
Transparent explanation of claims Learnerside refuses to make without exact support.
What this page will never claim
- Exam pass rates
- Job placement rates
- Any job guarantee
- A salary figure attributed to this certification
- A salary prediction for you personally
- Return on investment or a payback period
View table fallback
| Section | Value | Source layer | Caveat |
|---|---|---|---|
| Posture | no_certification_source_links | source posture | Draft status; source posture must pass before public launch. |
| Visible citation count | 3 | claim source map | Citation count does not imply page is public-ready. |
Certification decision support
Certifications mapped to AI Specialist
Certifications mapped to this role from cited OEM target-role data and the Learnerside role mapping, ordered by relationship strength and then Difficulty Score. This is planning context — not a guarantee, not an employer requirement, and not a claim that any one certification is best for everyone. Your fit depends on your background; pay/outlook context is occupation-level on the role page.
Start here signalCisco AI Technical PractitionerWe have not recorded a stated experience requirement for Cisco AI Technical Practitioner, so how hard it is depends entirely on what you already know.
Entry and starting signals
2 mappedCredentials that map to this role as starting points or foundation signals.
| Credential | Experience expected | Cost | Relationship | Why it appears here |
|---|---|---|---|---|
Cisco AI Technical PractitionerCisco | We have not recorded this | $150 exam | foundation | Cisco AI Technical Practitioner can support AI fluency but should not be treated as a standalone AI job credential.Official source |
CompTIA Data+CompTIA | Vendor-recommended background18–24 months in a data analyst or similar job role, with exposure to databases, analytical tools, basic statistics, and data visualization (a vendor recommendation, not a requirement). | $264 exam | foundation | Data+ can support data literacy for AI routes but is not an AI specialist credential.Official source |
Advanced or later-step credentials
1 mappedCredentials that may matter after experience builds; they are not presented as first steps.
| Credential | Experience expected | Cost | Relationship | Why it appears here |
|---|---|---|---|---|
CompTIA DataAICompTIA | Vendor-recommended background5+ years in data science or a similar role (a vendor recommendation, not a requirement). | $544 exam | advanced adjacent | CompTIA DataAI is advanced and better suited after data science experience.Official source |
Experience expected is what the vendor publishes about the background it asks for or recommends — never a pass rate, and never a Learnerside rating of how hard an exam is. Certification mappings are planning context, not employer requirements, job guarantees, salary claims, or ROI claims.
BLS wage context
National salary context
BLS wage range with explicit occupation-level caveat.
Occupation-level onlyNot a certification salary, personal prediction, ROI, placement, or guarantee.
BLS wage dataSOC mapping caveatSource posture
View salary table fallback
| Measure | Value | Source layer | Caveat |
|---|---|---|---|
| 10th percentile | $67,240 | bls occupation context | U.S. national occupation-level wage context only. |
| Median | $120,230 | bls occupation context | Not a certification salary or personal prediction. |
| 90th percentile | $199,130 | bls occupation context | Requires SOC mapping caveat; use metro pages for local wages. |
Transition evidence
Transition map
Node-edge transition map with relationship-confidence guardrail.
Relevance, not promise
Current pageHow to become an AI Specialist O*NET/BLS role context only; not a guaranteed progression.
O*NET role evidenceRelated roleAI Specialist Role mapping is source context, not a hiring or salary guarantee.
O*NET role evidenceCredential optionCisco AI Technical Practitioner Credential facts come from official/vendor sources; employer use varies.
Official certification sourceRelationship evidencefoundation, priority 4/5 Relationship confidence explains relevance only; it is not outcome proof.
Role-cert relationship evidenceNext actionCompare fit, cost, study time, and local labor context Personalized sequencing requires intake answers and review.
Role-cert relationship evidence
Tasks, skills, knowledge, work activities, job zone, and role-fit inputs.
Exam name, credential level, exam objectives, prerequisites, renewal, official resources.
Why a certification is related to a role, skill, task, or transition stage.
Title variants, wording, common tools, and resume/quiz phrasing.
Does not support: Salary, demand, certification requirement, individual fit guarantee, ROI, placement, pass rate, job guarantee, Employer requirement proof, guaranteed hiring advantage, salary increase, probability of hire, certification requirement unless officially stated.
Not claimed here
- Exam pass rates
- Job placement rates
- Any job guarantee
- A salary figure attributed to this certification
- A salary prediction for you personally
- Return on investment or a payback period
View transition table fallback
| Node | Value | Source layer | Caveat |
|---|---|---|---|
| Current page | How to become an AI Specialist | onet role feature | O*NET/BLS role context only; not a guaranteed progression. |
| Related role | AI Specialist | onet role feature | Role mapping is source context, not a hiring or salary guarantee. |
| Credential option | Cisco AI Technical Practitioner | oem credential fact | Credential facts come from official/vendor sources; employer use varies. |
| Relationship evidence | foundation, priority 4/5 | role cert relationship | Relationship confidence explains relevance only; it is not outcome proof. |
| Next action | Compare fit, cost, study time, and local labor context | role cert relationship | Personalized sequencing requires intake answers and review. |
Answer blocks
Common Questions
What certifications do I need to become a AI Specialist?
Certifications commonly mapped to a AI Specialist role, ordered by mapped relationship strength and then difficulty: Cisco AI Technical Practitioner; CompTIA Data+ — with advanced credentials such as CompTIA DataAI as later steps.
Entry options, closest role match first: Cisco AI Technical Practitioner (Cisco; exam ~$150); CompTIA Data+ (CompTIA; exam ~$264). Advanced or later-step credentials: CompTIA DataAI (CompTIA; exam ~$544).
Citations: Sources shown on this page: 3 citations. Each mapped certification's official source is linked in the decision table on this page.
Use the Learnerside planner to adapt this sequence to your background, budget, and timeline. No provider can pay to change what this page says.
What is the easiest certification to start a AI Specialist career?
a cited certification mapped to a AI Specialist path is Cisco AI Technical Practitioner (Learnerside, exam ~$150). It is a starting signal, not a guarantee of a role.
Entry options, closest role match first: Cisco AI Technical Practitioner (Cisco; exam ~$150); CompTIA Data+ (CompTIA; exam ~$264).
Citations: Sources shown on this page: 3 citations. Each mapped certification's official source is linked in the decision table on this page.
Use the Learnerside planner to adapt this sequence to your background, budget, and timeline. No provider can pay to change what this page says.
How much do AI Specialist certifications cost and how hard are they?
Cited AI Specialist certification exam fees range roughly $150–$544, covering credentials with different published scopes and background expectations. Pay and outlook are reported at the occupation level on the AI Specialist page, never per certification.
Entry options, closest role match first: Cisco AI Technical Practitioner (Cisco; exam ~$150); CompTIA Data+ (CompTIA; exam ~$264).
Citations: Sources shown on this page: 3 citations. Each mapped certification's official source is linked in the decision table on this page.
Use the Learnerside planner to adapt this sequence to your background, budget, and timeline. No provider can pay to change what this page says.
Quick Verdict
"AI specialist" is an emerging, not-yet-standardized role - for labor-market context Learnerside maps it to the BLS occupation Data Scientists (SOC 15-2051), which reports a $120,230 median wage (2025, occupation context, not a guarantee). A realistic path emphasizes data literacy first; foundational credentials like CompTIA Data+ support that, but no single exam makes you an "AI specialist."
Cited Detail
"AI specialist" isn't a settled job title with its own BLS occupation, so we map it to Data Scientists (SOC 15-2051) for context until AI-specific data exists - treat every figure as occupation-level evidence, not a guarantee. This reads as an early-to-mid role, not entry-level. On credentials: CompTIA Data+ (DA0-002) supports data literacy but isn't an "AI specialist" credential; Cisco AI Technical Practitioner (810-110) can support AI fluency but isn't a standalone AI job credential; CompTIA DataAI (DY0-001) is advanced, better after data-science experience - CompTIA recommends 5+ years in data science or a similar role (a recommendation, not a requirement). Realistic sequence: foundations -> applied data work -> AI-specific depth (planning context, not a promise). Outlook: BLS projects Data Scientists to grow 33.5% over 2024-2034, ~23,400 openings/yr - a multi-year occupation-level projection, not specific to the emerging "AI specialist" label.
AI & this career
What we can — and can’t — tell you about AI and this role
Cited context only: an occupation-level outlook, descriptive usage data, an employer-language sample, and attributed research — kept separate. No Learnerside AI score, no automation timeline, no job-loss prediction. How we source this →
Occupation outlook · BLS
Where the occupation is projected to go
BLS projects Data scientists at 33.5% employment change for 2024-2034, with 23.4 thousand annual openings. U.S. Bureau of Labor Statistics · checked
A forecast, not a guarantee; occupation-level, not about you - and BLS does not model rapid AI adoption, so this is never an AI prediction.
How AI shows up in the work
Descriptive usage, not demand or loss
For this O*NET detail, the May 2026 usage sample reports 52.57% of Claude conversations augmenting the person's work and 47.43% automating a task. Anthropic · checked Anthropic Economic Index dataset, CC-BY.
Across all occupations the same dataset splits 51.4% augmentation / 48.6% automation (May 2026) — shown so a single role’s number is never read as an outlier.
Descriptive Claude usage data, not employment demand, not job loss, and not a personal forecast; CC-BY attribution required.
Employer language · sample
What a posting sample mentions
a sample of 440 postings (as of 2026-07-09) mentions these AI-related terms
Employer-language sample only; not official demand, market-size, salary, or certification ROI evidence.
Published research · attributed
What independent research says (not Learnerside’s claim)
- Eloundou et al. estimate that about 80% of U.S. workers have at least 10% of their work tasks exposed to large language model capabilities (Science 2024). American Association for the Advancement of Science · checked exposure = task overlap, not job loss.
- Eloundou et al. estimate that about 19% of U.S. workers have at least 50% of their work tasks exposed to large language model capabilities (Science 2024). American Association for the Advancement of Science · checked exposure = task overlap, not job loss.
- Eloundou et al. explicitly disclaim any forecast of AI adoption or timing, describing their measure as capability overlap with tasks rather than a prediction of job loss (Science 2024). American Association for the Advancement of Science · checked exposure = task overlap, not job loss.
- OECD reports that high-skill occupations are the most exposed to AI on task-overlap measures (OECD Employment Outlook 2023). Organisation for Economic Co-operation and Development · checked exposure = task overlap, not job loss.
- OECD reports that, as of 2023, there is little empirical evidence of negative employment effects from AI (OECD Employment Outlook 2023). Organisation for Economic Co-operation and Development · checked exposure = task overlap, not job loss.
- OECD and the AIOE research find that AI exposure and automation risk often run in opposite directions, with the most-exposed high-skill occupations tending to be the least at risk of automation. Organisation for Economic Co-operation and Development · checked exposure = task overlap, not job loss.
- Felten, Raj and Seamans construct an occupation-level AI Occupational Exposure index by linking AI capabilities to O*NET occupational abilities (Strategic Management Journal). Strategic Management Journal (Wiley) · checked exposure = task overlap, not job loss.
- Stanford Digital Economy Lab researchers find a roughly 16% relative decline in employment for workers ages 22-25 in the most AI-exposed occupations, based on high-frequency ADP payroll data (Canaries in the Coal Mine, working paper). Stanford Digital Economy Lab · checked correlational usage data, not proof.
- The ILO notes that AI-exposure indicators measure potential task overlap and cannot by themselves establish job loss (Workers' exposure to AI). International Labour Organization · checked exposure = task overlap, not job loss.
- The Anthropic Economic Index reports no measured systematic rise in unemployment attributable to AI in its usage data. Anthropic · checked correlational usage data, not proof.
Tier A research stays attributed and separate from BLS outlook and employer-language samples.
Core source records
This table lists the page’s core content records and when they were checked. Claim-specific citations appear beside the relevant text and may not be repeated here.
| ID | Supports | Source | Checked |
|---|---|---|---|
| CIT-01 | Supports occupation-level wage context for AI Specialist. | AI Specialist BLS OEWS wage source | 2026-06-25T08:28:38+00:00 |
| CIT-02 | Supports occupation-level outlook context for AI Specialist. | AI Specialist BLS Employment Projections source | 2026-06-25T08:27:06+00:00 |
| CIT-03 | Supports skills, tasks, interests, and fit context for AI Specialist. | AI Specialist O*NET source | 2026-07-14T04:32:12+00:00 |
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