IT and Development job descriptions

What is a AI Auditor?

An AI Auditor is a specialized professional who examines artificial intelligence systems to ensure they operate ethically, accurately, and in compliance with regulatory standards. This role involves assessing algorithms, data usage, and AI outputs to identify biases, errors, or security vulnerabilities. AI Auditors help organizations maintain transparency and accountability in their AI implementations, ensuring these technologies align with legal and ethical guidelines while fostering public trust.

What does a AI Auditor do?

An AI Auditor conducts thorough evaluations of AI systems to verify their performance, fairness, and security. They analyze data sources, algorithm design, and model outputs to detect biases, inaccuracies, or potential risks. Additionally, they develop audit frameworks, document findings, and recommend improvements to enhance AI reliability and compliance. AI Auditors also collaborate with developers, legal teams, and stakeholders to implement corrective measures and ensure adherence to industry standards and regulations.

Job Overview

The AI Auditor will be responsible for evaluating and ensuring the integrity, fairness, and compliance of artificial intelligence systems across various applications. This role requires a unique blend of technical expertise in AI/ML systems and deep understanding of regulatory frameworks, ethical guidelines, and auditing methodologies specific to AI technologies in the US market.

AI Auditor responsibilities include:

1. Conduct comprehensive audits of AI systems for bias, fairness, transparency, and compliance with regulations including FTC guidelines and emerging AI legislation 2. Develop and implement AI audit frameworks and testing methodologies aligned with NIST AI Risk Management Framework 3. Perform technical assessments of machine learning models, algorithms, and data pipelines for ethical compliance 4. Document audit findings and prepare detailed reports for stakeholders and regulatory bodies 5. Collaborate with data scientists and engineers to implement corrective actions and mitigation strategies 6. Monitor AI systems in production for drift, performance degradation, and compliance violations 7. Stay current with evolving AI regulations, standards, and best practices in the US regulatory landscape

Must-Have Requirements

1. Bachelor's degree in Computer Science, Data Science, or related technical field 2. 3+ years of experience in AI/ML model development, testing, or auditing 3. Strong understanding of machine learning concepts, algorithms, and evaluation metrics 4. Experience with Python programming and data analysis libraries (Pandas, NumPy, Scikit-learn) 5. Knowledge of US regulatory frameworks affecting AI systems (FTC Act, Equal Credit Opportunity Act, ADA) 6. Proven ability to document and communicate technical findings to both technical and non-technical stakeholders 7. Experience with statistical analysis and hypothesis testing for bias detection

Preferred Qualifications

1. Master's degree in Data Science, Statistics, or related quantitative field 2. Professional certifications such as Certified Information Systems Auditor (CISA) or relevant AI ethics certifications 3. Experience with AI explainability tools and techniques (SHAP, LIME, Counterfactuals) 4. Background in financial services, healthcare, or other highly regulated industries 5. Knowledge of emerging AI standards and frameworks (NIST AI RMF, IEEE Ethically Aligned Design) 6. Experience with cloud AI platforms (AWS SageMaker, Azure ML, Google Vertex AI) 7. Previous experience presenting findings to regulatory bodies or executive leadership

Bonus Skills

1. PhD in AI Ethics, Fairness, or related research area with published papers 2. Experience developing automated AI auditing tools or platforms 3. Testimony or expert witness experience in AI-related legal proceedings 4. Contributions to open-source AI fairness or audit frameworks 5. Multilingual capabilities for global AI system audits 6. Background in both technical AI development and legal/compliance roles 7. Experience with adversarial testing and red teaming of AI systems

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AI Auditor job description