We are seeking a meticulous and principled Ethical AI Auditor to evaluate machine learning systems for fairness, transparency and safety. This role suits HR teams and recruitment agencies looking to hire a candidate who can combine technical rigour with ethical judgement to protect users and the organisation.
Ethical AI Auditor Job Profile
The Ethical AI Auditor is responsible for independently assessing AI models, data pipelines and deployment practices to identify ethical, legal and safety risks. The auditor will report findings, recommend mitigations and support governance processes across the organisation.
Reporting to the Head of AI Governance or Chief Ethics Officer, the role requires deep technical knowledge of machine learning, strong stakeholder management skills and an ability to translate complex issues into practical actions.
Ethical AI Auditor Job Description
The Ethical AI Auditor will plan and conduct audits across the full AI lifecycle. This includes reviewing model documentation, data provenance, feature engineering, training procedures, validation tests and post deployment monitoring. The role will assess models for bias, discrimination, privacy risks, robustness and adherence to internal policies and external regulation.
Audits will combine quantitative analysis with qualitative review. The auditor will design and run tests to evaluate fairness metrics, explainability techniques and security resilience. Findings must be communicated clearly to technical teams, legal counsel and senior stakeholders with prioritised remediation plans.
The auditor will also contribute to policy development, create audit templates and help build an audit centre of excellence. They will work alongside data scientists, ML engineers, product managers and risk teams to embed ethical controls into development practices and deployment checklists.
Ethical AI Auditor Duties and Responsibilities
- Plan, scope and execute independent audits of AI systems across development and production environments.
- Analyse data sets for sampling bias, label quality issues and representativeness.
- Evaluate model performance across demographic groups and suggest fairness mitigations.
- Assess model explainability and produce accessible explanations for non-technical stakeholders.
- Perform stress tests for robustness and evaluate resilience to adversarial inputs.
- Review data governance, consent practices and privacy impact assessments.
- Check compliance with relevant regulations, standards and internal policies.
- Draft clear audit reports with risk ratings, remediation recommendations and estimated effort.
- Supportthe development of ethical guidelines, checklists and training materials.
- Work with product teams to implement monitoring, logging and incident response processes.
- Maintain up-to-date knowledge of AI ethics research, regulatory changes and industry best practice.
- Advise on procurement and third-party model risk assessments.
Ethical AI Auditor Requirements and Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Ethics, Law or related discipline.
- Proven experience in machine learning model evaluation, data analysis or AI governance.
- Strong programming skills in Python and familiarity with ML libraries such as scikit learn, TensorFlow or PyTorch.
- Experience with fairness metrics, explainability tools and testing frameworks.
- Understanding of privacy techniques such as differential privacy and anonymisation.
- Knowledge of regulatory frameworks and standards relevant to AI and data protection.
- Excellent communication skills with the ability to present technical findings to senior leaders.
- Analytical mindset with attention to detail and high ethical standards.
- Professional experience in audits, risk assessment, compliance or ethics advisory preferred.
- Relevant certifications in data protection, ethics or risk management are advantageous.
