evaluation methods jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, evaluation methods appears in 71 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning evaluation methods.
Last updated · 90d ending 2026-10-30
Which roles want evaluation methods?
Upload your resume and Skillenai will show which roles your evaluation methods experience fits, which skills you already cover, and what is missing.
Frequently asked questions about evaluation methods
+Is evaluation methods in demand in 2026?
Yes. evaluation methods appears in 71 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Software Engineer accounts for the most postings mentioning evaluation methods (15.5% of all postings mentioning evaluation methods).
+What jobs require evaluation methods?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning evaluation methods are AI Delivery Lead (5.0% of that role’s postings mention evaluation methods), Research Program Manager (4.8% of that role’s postings mention evaluation methods), Clinical Research Scientist (4.5% of that role’s postings mention evaluation methods).
+What skills are commonly paired with evaluation methods?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), evaluation methods most often appears alongside Python, machine learning, APIs, AI agents, large language models.
+Where is evaluation methods most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring evaluation methods are New York City, San Francisco, London, Sunnyvale, Sydney, according to the Skillenai jobs index.
+How can I keep up with new evaluation methods content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning evaluation methods alongside the jobs index. You can subscribe to a daily email digest of new evaluation methods content from your Skillenai account.
+Which skills come before and after evaluation methods?
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 evaluation methods — last 90 days
Career paths around evaluation methods
Skills documented before and after this skill across employer changes.
Not enough linked career history to draw this chart yet.
Roles most likely to require evaluation methods
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Delivery Lead | 1 | 5.0% |
| Research Program Manager | 1 | 4.8% |
| Clinical Research Scientist | 1 | 4.5% |
| Operations Engineer | 3 | 3.9% |
| Applied Data Scientist | 1 | 3.6% |
| AI Engineering Lead | 1 | 2.8% |
| Research Intern | 1 | 1.3% |
| AI Developer | 2 | 1.2% |
| AI Researcher | 1 | 0.9% |
| Engineering Lead | 1 | 0.8% |
Roles with the most evaluation methods postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 11 | 15.5% |
| Product Manager | 5 | 7.0% |
| Research Scientist | 4 | 5.6% |
| AI Engineer | 3 | 4.2% |
| Data Scientist | 3 | 4.2% |
| Forward Deployed Engineer | 3 | 4.2% |
| ML Engineer | 3 | 4.2% |
| Machine Learning Engineer | 3 | 4.2% |
| Operations Engineer | 3 | 4.2% |
| AI Developer | 2 | 2.8% |
Top companies posting jobs requiring evaluation methods
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| OpenBrain | 5 |
| Mercor | 4 |
| Dialpad | 3 |
| SpaceX | 3 |
| Moody’s | 3 |
| JPMorgan Chase & Co. | 3 |
| Ironclad | 3 |
| iSpot | 2 |
| Wayve | 2 |
| Cohere | 2 |
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 evaluation methods
| Name | Postings | Share |
|---|---|---|
| New York City | 11 | 15.5% |
| San Francisco | 7 | 9.9% |
| London | 4 | 5.6% |
| Sunnyvale | 3 | 4.2% |
| Sydney | 3 | 4.2% |
| Bellevue | 2 | 2.8% |
| Jersey City | 2 | 2.8% |
| Redmond | 2 | 2.8% |
| Austin | 1 | 1.4% |
Skills commonly paired with evaluation methods
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 2026-10-30. 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 evaluation methods by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s evaluation methods postings by all evaluation methods 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
- 4b0b1fe5a7bbd3b7
- data_as_of
- 2026-10-30
- window_days
- 90