GPT-4 jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, GPT-4 appears in 119 job postings indexed by Skillenai over the past 90 days — Instructional Designer has the most postings mentioning GPT-4.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about GPT-4
+Is GPT-4 in demand in 2026?
Yes. GPT-4 appears in 119 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Instructional Designer accounts for the most postings mentioning GPT-4 (64.7% of all postings mentioning GPT-4).
+What jobs require GPT-4?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning GPT-4 are Instructional Designer (77.0% of that role’s postings mention GPT-4), Agent Architect (14.3% of that role’s postings mention GPT-4), Gen AI Engineer (5.0% of that role’s postings mention GPT-4).
+What skills are commonly paired with GPT-4?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), GPT-4 most often appears alongside LLMs, Generative AI, accessibility, andragogy, custom GPTs.
+Where is GPT-4 most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring GPT-4 are San Francisco, Albania, Armenia, Greece, Montenegro, according to the Skillenai jobs index.
+How can I keep up with new GPT-4 content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning GPT-4 alongside the jobs index. You can subscribe to a daily email digest of new GPT-4 content from your Skillenai account.
+Which skills come before and after GPT-4?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring GPT-4 — last 90 days
Career paths around GPT-4
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before GPT-4
Skills after GPT-4
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: python | 15 |
| Before: docker | 14 |
| Before: tensorflow | 13 |
| Before: scikit-learn | 12 |
| Before: Tableau | 12 |
| Before: BERT | 11 |
| Before: kubernetes | 10 |
| Before: xgboost | 10 |
| After: python | 6 |
| After: sql | 4 |
| After: FAISS | 3 |
| After: PySpark | 3 |
| After: FastAPI | 3 |
| After: pandas | 3 |
| After: langchain | 2 |
| After: Hadoop | 2 |
Roles most likely to require GPT-4
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Instructional Designer | 77 | 77.0% |
| Agent Architect | 5 | 14.3% |
| Gen AI Engineer | 1 | 5.0% |
| AI Product Designer | 1 | 4.0% |
| AI Engineering Lead | 1 | 2.9% |
| Field Engineer | 1 | 2.2% |
| Prompt Engineer | 1 | 1.8% |
| Applied AI Engineer | 2 | 0.4% |
| AI Architect | 1 | 0.4% |
| AI/ML Engineer | 1 | 0.3% |
Roles with the most GPT-4 postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Instructional Designer | 77 | 64.7% |
| Agent Architect | 5 | 4.2% |
| AI Engineer | 3 | 2.5% |
| Machine Learning Engineer | 3 | 2.5% |
| Software Engineer | 3 | 2.5% |
| AI Content Editor | 2 | 1.7% |
| AI/ML Computational Science Analyst | 2 | 1.7% |
| Applied AI Engineer | 2 | 1.7% |
| Engineering Manager | 2 | 1.7% |
| AI Agent Architect | 1 | 0.8% |
Top companies posting jobs requiring GPT-4
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| INFUSE | 77 |
| Pencil | 6 |
| Palo Alto Networks | 3 |
| Cisco | 3 |
| Accenture | 3 |
| CommerceIQ | 2 |
| Hostinger | 2 |
| DevRev | 2 |
| Harrison Clarke | 1 |
| Stone | 1 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for GPT-4
| Name | Postings | Share |
|---|---|---|
| San Francisco | 5 | 4.2% |
| Albania | 3 | 2.5% |
| Armenia | 3 | 2.5% |
| Greece | 3 | 2.5% |
| Montenegro | 3 | 2.5% |
| Buenos Aires | 2 | 1.7% |
| New York City | 2 | 1.7% |
| Bengaluru | 1 | 0.8% |
| Gurugram | 1 | 0.8% |
Skills commonly paired with GPT-4
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning GPT-4 by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s GPT-4 postings by all GPT-4 postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- f5bd68cf96b820db
- data_as_of
- 2026-09-30
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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