AI safety jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, AI safety appears in 206 job postings indexed by Skillenai over the past 90 days — AI Engineer has the most postings mentioning AI safety, with demand share up 15.3% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
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Frequently asked questions about AI safety
+Is AI safety in demand in 2026?
Yes. AI safety appears in 206 job postings indexed by Skillenai over the 90 days ending 2026-10-29. AI Engineer accounts for the most postings mentioning AI safety (7.8% of all postings mentioning AI safety).
+What jobs require AI safety?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning AI safety are AI Safety Evaluator (6.9% of that role’s postings mention AI safety), Compliance Program Manager (6.5% of that role’s postings mention AI safety), Head of Product (5.0% of that role’s postings mention AI safety).
+What skills are commonly paired with AI safety?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), AI safety most often appears alongside Python, Machine Learning, model evaluation, prompt engineering, LLMs.
+Where is AI safety most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring AI safety are San Francisco, London, New York City, Somerville, Singapore, according to the Skillenai jobs index.
+How can I keep up with new AI safety content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning AI safety alongside the jobs index. You can subscribe to a daily email digest of new AI safety content from your Skillenai account.
+Which skills come before and after AI safety?
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 AI safety — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around AI safety
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before AI safety
Skills after AI safety
No published outgoing skill pairs yet.
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 | 1 |
| Before: GitHub Actions | 1 |
| Before: Jira webhook headers | 1 |
Roles most likely to require AI safety
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Safety Evaluator | 2 | 6.9% |
| Compliance Program Manager | 2 | 6.5% |
| Head of Product | 1 | 5.0% |
| Research Fellow | 1 | 5.0% |
| Research Program Manager | 1 | 4.8% |
| Professor | 1 | 4.3% |
| Applied AI Architect | 3 | 4.2% |
| Developer Experience Engineer | 1 | 4.0% |
| Researcher | 2 | 3.7% |
| AI Research Scientist | 2 | 2.6% |
Roles with the most AI safety postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| AI Engineer | 16 | 7.8% |
| Software Engineer | 15 | 7.3% |
| Program Manager | 9 | 4.4% |
| Research Scientist | 9 | 4.4% |
| Machine Learning Engineer | 7 | 3.4% |
| Product Manager | 7 | 3.4% |
| Research Engineer | 7 | 3.4% |
| AI Safety Researcher | 5 | 2.4% |
| Data Scientist | 4 | 1.9% |
| Security Engineer | 4 | 1.9% |
Top companies posting jobs requiring AI safety
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Anthropic | 16 |
| Capco | 6 |
| OpenBrain | 6 |
| OpenAI | 5 |
| Tulip Interfaces | 5 |
| Lila Sciences | 5 |
| 4 | |
| Postman | 4 |
| Mozilla | 4 |
| SpaceX | 4 |
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 AI safety
| Name | Postings | Share |
|---|---|---|
| San Francisco | 26 | 12.6% |
| London | 12 | 5.8% |
| New York City | 11 | 5.3% |
| Somerville | 7 | 3.4% |
| Singapore | 6 | 2.9% |
| Hong Kong | 5 | 2.4% |
| Washington | 4 | 1.9% |
| Palo Alto | 3 | 1.5% |
| Raleigh | 3 | 1.5% |
Skills commonly paired with AI safety
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. 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 AI safety by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s AI safety postings by all AI safety 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). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- b42eab0474f856b3
- data_as_of
- 2026-10-29
- window_days
- 90