What is Evals?

AI Evaluations

Frameworks and methodologies for measuring AI model and application quality. Evals are the production-grade equivalent of unit tests for AI systems.

How Evals Works

AI glossary showing essential machine learning concepts

An eval consists of a dataset (inputs and expected outputs or scoring criteria) and a scoring function. Inputs are run through the AI system, outputs are scored, and aggregate metrics are computed. Eval types include: pass/fail (does the output match an expected pattern), graded (how close to ideal on a 1-5 scale), pairwise (which of two outputs is better), and reference-based (compare against a gold answer). Tools like Braintrust, Promptfoo, LangSmith, and OpenAI Evals automate this loop.

Why Evals Matters

Evals are the most underinvested area of AI engineering. Most teams ship AI features without systematic evaluation, which means they can't reliably tell if changes improve or degrade quality. Strong eval practice separates production-grade AI work from experimentation. Engineers who can speak to evals at depth are differentiated in the hiring market and in their internal organizations.

Practical Example

A health tech company built a 5,000-example eval suite for their clinical Q&A assistant. Every prompt change, model update, or retrieval modification runs against the suite, surfacing regressions before they reach production. The suite catches roughly 3 quality regressions per month that would otherwise reach users.

Use Cases

  • Production AI quality
  • Prompt iteration
  • Model selection
  • Regression prevention

Salary Impact

Eval expertise is one of the most valued AI skills in 2026, with senior roles paying $300K and up.

Where this skill pays off

This skill shows up most in prompt engineering roles. See live data on the AI premium, the tools, and what hiring managers screen for.

AI for Prompt Engineering →  ·  Skills page  ·  Salary breakdown

Related Terms

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Frequently Asked Questions

What does Evals stand for?

Evals stands for AI Evaluations. Frameworks and methodologies for measuring AI model and application quality. Evals are the production-grade equivalent of unit tests for AI systems.

What skills do I need to work with Evals?

Key skills for Evals include: Braintrust, LangSmith, Promptfoo, Prompt Engineering. Most roles also expect Python proficiency and experience with production systems.

How does Evals affect salary?

Eval expertise is one of the most valued AI skills in 2026, with senior roles paying $300K and up.

Data Source: Analysis based on AI job postings collected and verified by AI Pulse. Data reflects active job listings as of May 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.

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