evaluation metrics jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, evaluation metrics appears in 342 job postings indexed by Skillenai over the past 90 days — AI Trainer has the most postings mentioning evaluation metrics, with demand down 2% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
342
Demand vs prior month
down 2% vs the prior 4 weeks
Top role · 48.0% of skill postings
Top hiring metro
New York City

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Frequently asked questions about evaluation metrics

+Is evaluation metrics in demand in 2026?

Yes. evaluation metrics appears in 342 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 2% vs the prior 4 weeks. AI Trainer accounts for the most postings mentioning evaluation metrics (48.0% of all postings mentioning evaluation metrics).

+What jobs require evaluation metrics?

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 metrics are AI Trainer (41.2% of that role’s postings mention evaluation metrics), ML Research Engineer (16.7% of that role’s postings mention evaluation metrics), Machine Learning Manager (8.7% 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 2026-09-28), evaluation metrics most often appears alongside prompt engineering, Python, syntax, morphology, linguistic analysis.

+Where is evaluation metrics most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring evaluation metrics are New York City, San Francisco, Sunnyvale, Mexico City, Mountain View, 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.

Weekly job postings requiring evaluation metrics — last 90 days

Roles most likely to require evaluation metrics

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
AI Trainer16441.2%
ML Research Engineer816.7%
Machine Learning Manager28.7%
Software Development Test Engineer26.5%
Field CTO25.3%
Generative AI Engineer23.8%
AI Scientist33.5%
Security Researcher23.5%
AI Engineer Intern13.3%
Machine Learning Researcher12.6%

Roles with the most evaluation metrics postings

RolePostings mentioning skillShare of skill postings
AI Trainer16448.0%
Technical Product Manager185.3%
Software Engineer164.7%
Machine Learning Engineer154.4%
Data Scientist113.2%
AI Engineer102.9%
Product Manager102.9%
AI Trainer (Language Specialist)82.3%
ML Research Engineer82.3%
AI Language Trainer72.0%

Top metros hiring for evaluation metrics

NamePostingsShare
New York City123.5%
San Francisco92.6%
Sunnyvale72.0%
Mexico City61.8%
Mountain View51.5%
Hong Kong41.2%
Singapore41.2%
Dublin30.9%
Luxembourg30.9%

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 2026-09-28. 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 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).

source
Skillenai jobs index, deduplicated daily
entity_id
9c1b315522d0f239
data_as_of
2026-09-28
window_days
90
Hiring engineers who use evaluation metrics?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index