Data & AI · observed market

AI Evaluation & Safety jobs and hiring requirements

Data engineering, analytics, machine learning, and AI research. Counts are derived from employer-published vacancies; current roles use a 30-day observation window and older still-published listings are shown separately.

19current roles40still source-active21long-running8current employers

What the work involves

AI evaluation and safety specialists design tests that support decisions about model or system behavior. Work may focus on task quality, robustness, misuse or deployment risks. These objectives need different datasets and scoring procedures; a single benchmark score cannot establish that a system is ready for every application.

Reference for this specialty ↗

Useful application evidence

  • A defined evaluation objective and test population
  • Scoring validity, leakage checks and failure analysis
  • A measured finding that changed a release decision

What this role market shows

Freshness

48%

of still-published listings are in the current observation window

Most visible technology

AI

19 current vacancy mentions

Leading location

United States

10 current role mentions

Evidence mix

Top technologies by requirement tier

Counts are mentions in current vacancies. One vacancy may mention several technologies.

Requirement evidence

Technologies employers ask for in AI Evaluation & Safety

Current market

Latest current vacancies

Senior AI Evals Engineer

Rubrik · Bengaluru, India

office
AI EvaluationAILLM AgentsLLMGenAI
View vacancy →

Senior AI Safety Researcher

Google · Kirkland, Washington, United States

office
DatabasesJavaPythonData ScienceC++
View vacancy →

Agent Evaluation Engineer - Build-Time Framework & Deployment Gates

Intellias · Strong Middle

remote
AI EvaluationAIMachine Learning
View vacancy →

Senior AI Safety Researcher

Google · Mountain View, California, United States

office
DatabasesJavaPythonData ScienceC++
View vacancy →

Senior Machine Learning Engineer, AI Safety

NVIDIA · Santa Clara, California, United States; Remote — United States

hybrid
Machine LearningFine-tuningAILLMDeep Learning
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Machine Learning Engineer, AI Safety

NVIDIA · Santa Clara, California, United States; Remote — United States

hybrid
Machine LearningAILLMGenAIDeep Learning
View vacancy →

Technical Program Manager, Data Collection and Model Evaluation (Fixed-Term Contract), DeepMind

Google · Mountain View, California, United States

office
AI EvaluationAIMachine LearningPythonSQL
View vacancy →

Senior Solutions Architect, Agentic AI - Safety and Security

NVIDIA · Santa Clara, California, United States; Remote — United States

hybrid
AI AgentsMachine LearningAILLMDistributed Systems
View vacancy →

Senior Manager, AI Safety and Security Engineering

NVIDIA · Santa Clara, California, United States; Remote — United States

hybrid
AIMachine LearningCybersecurity
View vacancy →

AI Evaluation Infrastructure Engineer

Block · Bay Area, California, United States

office
AI EvaluationAILLMMachine LearningData Science
View vacancy →
View all 19 current roles →

Work formats

Seniority

Evidence route

How this role market is assembled

Employer-published vacancies are classified by specialty. Current demand is kept apart from older still-published listings; employer, technology and location views come from that same cached role snapshot.

Vacancy evidence flows through role classification, freshness, employer breadth and requirement analysis

Illustrative process diagram. The charts above show the actual counts for AI Evaluation & Safety.

Still published by employers

Long-running source-active roles

These listings remain on their publishers’ career sites but are older than the current-market window. They remain discoverable without inflating fresh-demand totals.

Graph-linked family

Related Data & AI roles

Data quality: 95% source-date coverage · 32 vacancies with core/required evidence · data version roles-v1:2026-10-15T08:32:07.068Z:40. Methodology →