Senior Privacy Review Specialist (AI/LLM Governance)

Location: Remote; candidates must reside in the United States. Working hours must align with the west coast US time zone.

Compensation: $50–100/hr USD, with possible commission, bonus, or other incentive compensation where applicable.

Company

hirify.global is an AI-first global technology company providing engineering, AI platform, and digital transformation services for enterprise clients.

What you will do

• Conduct formal, end-to-end written privacy reviews for products, features, research publications, data pipelines, and experimental prototypes.
• Assess privacy implications across AI, machine learning, generative AI, and Large Language Model systems, including data ingestion, prompts, context windows, training, inference, outputs, and human oversight.
• Identify risks involving personal data, leakage, memorization, secondary use, retention, and inappropriate model outputs; recommend practical privacy controls.
• Review technical designs, product and business requirements, architecture diagrams, data lineage, academic publications, collection practices, consent flows, access controls, policies, and user notices.
• Translate privacy, legal, compliance, and regulatory requirements into actionable guidance for product, engineering, legal, data science, and governance stakeholders.
• Develop privacy frameworks, procedures, guidelines, templates, review criteria, operational reporting, and AI-enabled workflow automation to scale governance practices.

Requirements

• Extensive hands-on experience conducting formal written privacy reviews, assessments, or impact analyses.
• Product-focused privacy experience in technology, digital platforms, cloud services, AI, or similarly complex environments.
• Active IAPP certification in at least one of: Artificial Intelligence Governance Professional, Certified Information Privacy Professional/United States, Certified Information Privacy Professional/Europe, or Certified Information Privacy Manager.
• Practical knowledge of AI and machine learning data-processing workflows, generative AI applications, and Large Language Models, including privacy risks in training data, user inputs, inference, and model outputs.
• Deep knowledge of notice and consent, transparency, user choice, data portability, data minimization, and retention.
• Knowledge of GDPR, CCPA, and the EU AI Act.
• Ability to interpret software-design documents, system architectures, data flows, and product requirements.
• Experience managing multiple reviews and competing priorities under tight deadlines, with strong judgment in ambiguous or rapidly evolving environments.
• Exceptional written and verbal English communication, ability to translate legal and compliance requirements into technical guidance, and strong stakeholder-management and influencing skills.

Nice to have

• Familiarity with enterprise privacy-review, governance, and product-launch tools.
• Experience supporting privacy governance for research, experimental products, or emerging technologies.
• Experience working with legal, ethics, privacy, product, and engineering governance bodies.
• Experience automating privacy-review or governance workflows using AI or custom tooling.
• A degree in Law, Computer Science, Data Governance, Information Security, or a related discipline.
• Additional privacy, security, risk, or AI-governance certifications.

Culture & Benefits

• Remote work for candidates residing in the United States, aligned with west coast US working hours.
• US-based employees may receive health, dental, and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and wellness or voluntary benefits, subject to eligibility and plan terms.
• Culture centered on trust, respect, purpose, open dialogue, creative freedom, mentorship, inclusion, and accessibility.
• Reasonable accommodations are available throughout recruitment in accordance with applicable accessibility laws.

Hiring process

• Automated tools or artificial intelligence systems may support applicant screening, assessment, or selection.
• Reasonable accommodations are available at any stage of the recruitment process.