Algorithm Bias Auditor (Sample Role)

The rapid integration of artificial intelligence into critical business and HR operations across the United States has created a surge in specialized AI GRC roles (Governance, Risk, and Compliance). Organizations nationwide are creating dedicated roles to ensure AI systems are ethical, fair, legally compliant, and aligned with US regulations.

Key Takeaways: AI Governance Jobs in the US

• Surging Demand: New US regulations (like NYC Local Law 144) and frameworks (NIST AI RMF) are driving rapid hiring for AI GRC professionals.
• Top Emerging Roles: The most in-demand positions include Senior AI Governance Managers, Algorithm Bias Auditors, AI Ethics Officers, and Ethical AI Specialists.
• Lucrative Compensation: Estimated salary ranges for these specialized corporate roles span from $110,000 to $210,000+ annually.
• Skillset Shift: Many of these roles prioritize legal, ethical, and enterprise risk management backgrounds over strict computer science degrees.

Based on industry trends, here are the leading AI GRC and governance roles emerging in the broader US workforce:

[b]1. Senior Manager of AI Governance[/b]

This role acts as the central strategic authority for an organization's AI risk management.

• [b]Responsibilities:[/b] They design and maintain comprehensive AI governance frameworks, establish internal policies for responsible AI deployment, and ensure compliance with emerging US frameworks like the NIST AI RMF.
• [b]Qualifications:[/b] This is often a highly legal and strategic role, requiring comprehensive knowledge of US privacy legislation.
• [b]Estimated Salary Range:[/b] $140,000 – $210,000

[b]2. Algorithm Bias Auditor[/b]

As AI regulations like NYC Local Law 144 increasingly mandate independent bias audits, the Algorithm Bias Auditor has become a crucial compliance role across the US.

• [b]Responsibilities:[/b] They lead methodical investigations into every algorithm used across business units and produce bias guidelines for US development teams.
• [b]Estimated Salary Range:[/b] $120,000 – $180,000

[b]3. Human Bias Officer / AI Ethics Officer[/b]

These roles focus on the intersection of human oversight and machine automation.

• [b]Responsibilities:[/b] Ensuring AI recommendations are explainable, transparent, and bias-free. They champion "human-in-the-loop" systems in American enterprises.
• [b]Estimated Salary Range:[/b] $130,000 – $190,000

[b]4. Ethical AI Specialist / AI Regulation and Risk Officer[/b]

These specialists focus heavily on data fairness, algorithmic accountability, and regulatory alignment within the United States.

• [b]Estimated Salary Range:[/b] $110,000 – $160,000

[b]5. Vice President, HR Vendor Management[/b]

This role oversees and enhances vendor risk management and governance practices, with a strong focus on AI/ML and cyber security risks.

• [b]Responsibilities:[/b] Lead vendor selection and renewal for high-value engagements, drive implementation of AI/ML risk governance, and maintain SOPs and best practices for vendor risk.
• [b]Qualifications:[/b] 7+ years of experience in project or risk management, deep understanding of AI/ML vendor risk governance, and excellent cross-functional collaboration skills.

Learn more about workforce changes in our article on The Deskilling Dilemma.

Frequently Asked Questions (FAQ)

[b]What is AI GRC?[/b]
AI GRC stands for Artificial Intelligence Governance, Risk, and Compliance. It involves frameworks ensuring AI tools are used ethically and securely.

[b]Why are AI Governance roles growing in the US?[/b]
With increasing scrutiny from federal and state regulators, US companies are proactively hiring experts to mitigate legal and reputational risks associated with AI.

[b]What qualifications are needed for an AI Ethics Officer?[/b]
Candidates typically need a mix of technical understanding, US legal/privacy expertise, and a strong background in ethics.

[b]What is the NIST AI RMF?[/b]
The NIST AI Risk Management Framework is a voluntary guideline developed by the US National Institute of Standards and Technology to help organizations manage risks associated with AI systems, ensuring they are trustworthy and responsible.

[b]What is NYC Local Law 144?[/b]
NYC Local Law 144 is a regulation requiring employers in New York City to conduct independent bias audits on automated employment decision tools (AEDTs) before using them to evaluate job candidates or employees.

[b]Do I need a technical background to work in AI Governance?[/b]
Not necessarily. While a technical background is helpful for certain auditing roles, many AI Governance positions prioritize expertise in law, ethics, corporate policy, and enterprise risk management.

[b]How does AI governance differ from traditional IT governance?[/b]
Traditional IT governance focuses on data security, infrastructure, and software lifecycle. AI governance specifically addresses algorithmic fairness, explainability, machine learning bias, and the ethical implications of automated decisions.

[b]Are AI governance roles usually fully remote?[/b]
Many organizations offer remote or hybrid options for AI GRC roles, especially as companies compete for a limited pool of specialized talent across the United States.

Leading AI GRC and Governance Roles in the US