evaluation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, evaluation appears in 1,630 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning evaluation, with demand up 5% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about evaluation
+Is evaluation in demand in 2026?
Yes. evaluation appears in 1,630 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand up 5% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning evaluation (14.6% of all postings mentioning evaluation).
+What jobs require evaluation?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning evaluation are Agent Strategist (25.0% of that role’s postings mention evaluation), Applied AI Engineer (15.8% of that role’s postings mention evaluation), Forward Deployment Engineer (15.4% of that role’s postings mention evaluation).
+What skills are commonly paired with evaluation?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), evaluation most often appears alongside Python, observability, monitoring, RAG, machine learning.
+Where is evaluation most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring evaluation are San Francisco, London, New York City, Seattle, San Jose, according to the Skillenai jobs index.
+How can I keep up with new evaluation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning evaluation alongside the jobs index. You can subscribe to a daily email digest of new evaluation content from your Skillenai account.
Weekly job postings requiring evaluation — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require evaluation
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Agent Strategist | 6 | 25.0% |
| Applied AI Engineer | 77 | 15.8% |
| Forward Deployment Engineer | 6 | 15.4% |
| AI Data Annotator | 3 | 13.6% |
| Machine Learning Research Engineer | 4 | 11.8% |
| AI Engineering Director | 6 | 11.1% |
| Chief Architect | 4 | 10.5% |
| Developer Relations Engineer | 3 | 10.0% |
| SoC Architect | 2 | 9.5% |
| Technical Lead Manager | 3 | 9.4% |
Roles with the most evaluation postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 238 | 14.6% |
| AI Engineer | 181 | 11.1% |
| Machine Learning Engineer | 98 | 6.0% |
| Product Manager | 96 | 5.9% |
| Applied AI Engineer | 77 | 4.7% |
| Data Scientist | 40 | 2.5% |
| Engineering Manager | 37 | 2.3% |
| Research Engineer | 35 | 2.1% |
| ML Engineer | 30 | 1.8% |
| Technical Program Manager | 21 | 1.3% |
Top metros hiring for evaluation
| Name | Postings | Share |
|---|---|---|
| San Francisco | 157 | 9.6% |
| London | 89 | 5.5% |
| New York City | 84 | 5.2% |
| Seattle | 30 | 1.8% |
| San Jose | 25 | 1.5% |
| Bengaluru | 24 | 1.5% |
| Mountain View | 24 | 1.5% |
| Boston | 23 | 1.4% |
| Amsterdam | 21 | 1.3% |
Skills commonly paired with evaluation
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. 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 evaluation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s evaluation postings by all evaluation 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).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 60e4c1132ca5d390
- data_as_of
- 2026-09-28
- 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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