AI Job Radar: AI Governance and Safety

Grok’s slurs, Meta’s policy mishaps, and an elderly man dying on his way to meet his chatbot GF have all raised the stakes when it comes to controlling AI.

Now, companies are rethinking and investing in safety and with that new roles have been emerging.

These roles are high-impact jobs responsible for shaping how models behave, respond to edge cases, and how companies avoid catastrophic AI failures.

This week, we spotlight the roles and organizations leading the charge to keep AI in check.

What’s Fueling the Demand

• xAI (Elon Musk’s AI lab) is adding red-team researchers and safety engineers to rein in Grok after it used the N-word over 130 times in March. They're building defenses against prompt misuse and misinformation.

• Legacy firms are waking up. 95% of executives report AI-related mishaps, yet just 2% have responsible use frameworks.

What Do They Actually Do?

Here’s what these teams actually do:

• Policy & Governance: Create frameworks for responsible AI use across orgs. Ensure compliance with things like the EU AI Act and internal model guidelines.

• Trust & Safety Ops: Monitor and triage AI-related incidents, build moderation systems, and manage human-in-the-loop escalation.

• Model Oversight: Build guardrails into LLMs and image generators to prevent harmful outputs (e.g., misinformation, hallucinations, bias).

• Public Engagement & Transparency: Translate technical systems into understandable risks and value for users, regulators, and the media

• Red Teaming & Stress Testing: Simulate jailbreaks, adversarial prompts, and abuse scenarios. (PS: this one falls more under security)

Roles in Demand

Here are the top job titles flooding LinkedIn and hiring boards this month in AI safety and governance:

• Responsible AI Lead
  Background: Ethics, compliance, policy, or technical PM
  Why it matters: Coordinates internal strategy, builds cross-functional frameworks

• AI Governance Analyst / Policy Researcher
  Background: Legal, government, or policy orgs
  Why it matters: Aligns org behavior with rapidly evolving AI legislation (EU, US, etc.)

• Trust & Safety Operations Manager
  Background: Trust & Safety, content moderation, ops leadership
  Why it matters: Handles real-time incident triage and platform risk at scale

• AI Safety Engineer
  Background: ML/LLM-focused engineers with a risk lens
  Why it matters: Embeds safety constraints and detection into model outputs

• AI Red Team Engineer
  Background: Security, adversarial ML, or pentesting for AI
  Why it matters: The first line of defense against jailbreaks and harmful use cases

Who’s Hiring (and What It Pays)

• xAI: Hiring Red Team Researchers and AI Safety Engineers | Estimated Salary: $170K–$230K

• Anthropic: Hiring AI Safety Fellows and Policy Researchers | Estimated Salary: $140K–$200K+ (varies by location)

• Center for AI Safety (CAIS): Hiring Public Engagement Leads and Software Engineers | Estimated Salary: $100K–$180K

• 1Password: Hiring a Lead for Responsible AI | Estimated Salary: $160K–$190K

• OpenAI: Hiring Trust & Safety Operations Managers and Policy Analysts | Estimated Salary: $160K–$220K

• TikTok: Hiring Model Policy Leads and Safety Engineers | Estimated Salary: $130K–$210K

• GovAI (Governance of AI): Hiring Policy Researchers and Research Fellows | Estimated Salary: $90K–$160K (academic-style compensation)

• UL Solutions: Hiring AI Safety Scientists (focused on compliance)| Estimated Salary: $120K–$170K

💡 Note: These roles span technical, policy, and operational disciplines.

Skill Stack to Win These Roles

• Governance & policy compliance (GDPR, EU AI Act, audit)

• Trust & safety operations, monitoring, and incident response

• Public engagement and safety advocacy

• Misuse detection

• Prompt injection and adversarial defense

High-profile model leaks are just the tip of the iceberg. Enterprises know that in order to scale user and enterprise adoption they will need to make sure guardrails are in place.

For job seekers, this means more high-paying roles that actually shape the future of AI.

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