benchmarks jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-22, benchmarks appears in 267 job postings indexed by Skillenai over the past 90 days — most often required for Research Engineer roles, with demand down 30% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-22
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Frequently asked questions about benchmarks
+Is benchmarks in demand in 2026?
Yes. benchmarks appears in 267 job postings indexed by Skillenai over the 90 days ending 2026-09-22, with demand down 30% vs the prior 4 weeks. It is most often required for Research Engineer roles (16% of Research Engineer postings list it).
+What jobs require benchmarks?
According to the Skillenai jobs index over the 90 days ending 2026-09-22, the job titles most likely to require benchmarks are Research Engineer (16% of postings list benchmarks), Software Engineer (7% of postings list benchmarks), AI Engineer (4% of postings list benchmarks).
+What skills are commonly paired with benchmarks?
Across job postings indexed by Skillenai (90 days ending 2026-09-22), benchmarks most often appears alongside Python, evaluation frameworks, Reinforcement learning, machine learning, Docker.
+Where is benchmarks most in demand?
As of 2026-09-22, the metro areas posting the most jobs requiring benchmarks are San Francisco, New York City, London, Amsterdam, Singapore, according to the Skillenai jobs index.
+How can I keep up with new benchmarks content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning benchmarks alongside the jobs index. You can subscribe to a daily email digest of new benchmarks content from your Skillenai account.
Weekly job postings requiring benchmarks — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require benchmarks
| Role | Postings mentioning | % requiring |
|---|---|---|
| Research Engineer | 44 | 16.5% |
| Software Engineer | 19 | 7.1% |
| AI Engineer | 11 | 4.1% |
| Applied AI Engineer | 10 | 3.7% |
| Machine Learning Engineer | 9 | 3.4% |
| Product Manager | 9 | 3.4% |
| Research Scientist | 6 | 2.2% |
| AI Product Manager | 5 | 1.9% |
| Data Scientist | 5 | 1.9% |
| AI Safety Red Team Expert | 4 | 1.5% |
Top metros hiring for benchmarks
| Name | Postings | Share |
|---|---|---|
| San Francisco | 49 | 18.4% |
| New York City | 18 | 6.7% |
| London | 13 | 4.9% |
| Amsterdam | 9 | 3.4% |
| Singapore | 9 | 3.4% |
| Puteaux | 8 | 3.0% |
| Seattle | 7 | 2.6% |
| Santa Clara | 5 | 1.9% |
| Sunnyvale | 3 | 1.1% |
Skills commonly paired with benchmarks
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-22. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- e97e25fffb0d7cba
- data_as_of
- 2026-09-22
- 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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