evaluation metrics jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, evaluation metrics appears in 344 job postings indexed by Skillenai over the past 90 days — AI Trainer has the most postings mentioning evaluation metrics.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about evaluation metrics
+Is evaluation metrics in demand in 2026?
Yes. evaluation metrics appears in 344 job postings indexed by Skillenai over the 90 days ending 2026-09-30. AI Trainer accounts for the most postings mentioning evaluation metrics (47.7% of all postings mentioning evaluation metrics).
+What jobs require evaluation metrics?
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 evaluation metrics are AI Trainer (41.4% of that role’s postings mention evaluation metrics), ML Research Engineer (14.6% of that role’s postings mention evaluation metrics), Machine Learning Manager (8.0% of that role’s postings mention evaluation metrics).
+What skills are commonly paired with evaluation metrics?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), evaluation metrics most often appears alongside prompt engineering, Python, syntax, morphology, linguistic analysis.
+Where is evaluation metrics most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring evaluation metrics are New York City, San Francisco, Sunnyvale, Mexico City, Hong Kong, according to the Skillenai jobs index.
+How can I keep up with new evaluation metrics content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning evaluation metrics alongside the jobs index. You can subscribe to a daily email digest of new evaluation metrics content from your Skillenai account.
+Which skills come before and after evaluation metrics?
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 metrics — last 90 days
Career paths around evaluation metrics
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before evaluation metrics
Skills after evaluation metrics
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: spark | 1 |
| Before: EOL alerts | 1 |
| Before: testing | 1 |
| Before: automated cutovers | 1 |
| Before: performance monitoring | 1 |
| Before: program development | 1 |
| Before: project management tools | 1 |
| Before: Grafana | 1 |
| After: spark | 1 |
| After: ETL pipelines | 1 |
| After: ETL | 1 |
| After: python | 1 |
| After: sql | 1 |
| After: Hive | 1 |
| After: deep learning frameworks | 1 |
| After: vector db | 1 |
Roles most likely to require evaluation metrics
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Trainer | 164 | 41.4% |
| ML Research Engineer | 7 | 14.6% |
| Machine Learning Manager | 2 | 8.0% |
| Software Development Test Engineer | 2 | 6.7% |
| Field CTO | 2 | 5.3% |
| Generative AI Engineer | 2 | 3.7% |
| Security Researcher | 2 | 3.6% |
| AI Scientist | 3 | 3.4% |
| AI Engineer Intern | 1 | 3.4% |
| Machine Learning Researcher | 1 | 2.6% |
Roles with the most evaluation metrics postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| AI Trainer | 164 | 47.7% |
| Technical Product Manager | 18 | 5.2% |
| Machine Learning Engineer | 15 | 4.4% |
| Software Engineer | 15 | 4.4% |
| Data Scientist | 11 | 3.2% |
| AI Engineer | 10 | 2.9% |
| Product Manager | 10 | 2.9% |
| AI Trainer (Language Specialist) | 8 | 2.3% |
| AI Language Trainer | 7 | 2.0% |
| ML Research Engineer | 7 | 2.0% |
Top companies posting jobs requiring evaluation metrics
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Meridiam | 176 |
| Bjakcareer | 17 |
| Meridian | 12 |
| CLERA | 8 |
| Uber | 5 |
| Viseven | 4 |
| Astera | 4 |
| Twilio | 3 |
| 3 | |
| General Motors | 3 |
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 metrics
| Name | Postings | Share |
|---|---|---|
| New York City | 13 | 3.8% |
| San Francisco | 9 | 2.6% |
| Sunnyvale | 7 | 2.0% |
| Mexico City | 6 | 1.7% |
| Hong Kong | 4 | 1.2% |
| Mountain View | 4 | 1.2% |
| Singapore | 4 | 1.2% |
| Dublin | 3 | 0.9% |
| Luxembourg | 3 | 0.9% |
Skills commonly paired with evaluation metrics
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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 evaluation metrics by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s evaluation metrics postings by all evaluation metrics 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
- 9c1b315522d0f239
- 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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