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Ai Ethics Human Rights Jobs (NOW HIRING)

AIG

AI Observability Engineer

Atlanta, GA · On-site

... scaling human oversight of AI systems and familiar with LLMs development. • Comfort with ... or AI ethics, with an understanding of AI technologies and frameworks such as Generative AI. • ...

Simplon.co

IA RH - Cas d'usage, Prompting & Éthique

$33.25 - $44.25/hr

Awareness of AI ethics issues (algorithmic biases and non-discrimination; data protection) * Training on managing human and organizational impacts (fears, adoption, transformation of jobs) Evaluate ...

Labelbox

Applied Research Intern

San Francisco, CA

Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.

Steampunk

AI Tech Lead

Mclean, VA · On-site

$160K - $190K/yr

... AI ethics. * Drive the adoption of AI technologies across the organization, collaborating with ... Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our ...

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Ai Ethics Human Rights information

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$74K

$161.5K

$255.5K

How much do ai ethics human rights jobs pay per year?

As of Jul 6, 2026, the average yearly pay for ai ethics human rights in the United States is $161,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What are AI Ethics Human Rights professionals?

AI Ethics Human Rights professionals are experts who focus on ensuring that artificial intelligence technologies are developed and used in ways that respect and protect fundamental human rights. They work at the intersection of technology, law, and ethics to address issues such as privacy, bias, accountability, and transparency in AI systems. These professionals often help organizations develop ethical guidelines, assess the impact of AI on society, and advocate for policies that safeguard human dignity and rights in the digital age.

What is the difference between Ai Ethics Human Rights vs Data Privacy Specialist?

AspectAi Ethics Human RightsData Privacy Specialist
Required CredentialsEthics certifications, human rights trainingData protection certifications, privacy laws knowledge
Work EnvironmentResearch, policy development, advocacyCompliance, auditing, data management
Employer & IndustryTech companies, NGOs, government agenciesTech firms, legal firms, consulting
Search & Comparison IntentUnderstanding ethical considerations in AI and human rightsEnsuring data privacy and legal compliance

While both roles focus on responsible technology use, Ai Ethics Human Rights professionals primarily address ethical issues related to AI's impact on human rights, whereas Data Privacy Specialists concentrate on protecting personal data and ensuring compliance with privacy laws. Both roles are vital in the tech industry but serve different aspects of responsible AI and data management.

What are the key skills and qualifications needed to thrive as an AI Ethics and Human Rights Specialist, and why are they important?

To thrive as an AI Ethics and Human Rights Specialist, you need a strong background in ethics, law, technology, and human rights, often supported by degrees in philosophy, law, computer science, or related fields. Familiarity with AI systems, data privacy tools, regulatory frameworks, and certifications in ethical AI or data protection (such as CIPP or similar) is highly valuable. Exceptional analytical thinking, communication skills, and the ability to navigate complex ethical dilemmas set top professionals apart in this role. These skills are crucial for ensuring that AI technologies are developed and deployed in ways that respect human rights, promote fairness, and build public trust.

How do professionals in AI Ethics and Human Rights typically collaborate with technical teams to ensure responsible AI development?

Professionals in AI Ethics and Human Rights often work closely with data scientists, engineers, and product managers to embed ethical considerations throughout the AI development lifecycle. This collaboration may involve conducting impact assessments, providing guidance on bias mitigation, and ensuring compliance with human rights standards. Regular cross-disciplinary meetings and workshops are common to facilitate knowledge sharing and align on responsible practices. By actively engaging with technical teams, ethics professionals help anticipate potential risks and promote transparency in AI systems.
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What cities are hiring for Ai Ethics Human Rights jobs? Cities with the most Ai Ethics Human Rights job openings:
What states have the most Ai Ethics Human Rights jobs? States with the most job openings for Ai Ethics Human Rights jobs include:
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Ai Ethics Human Rights jobs near you
Infographic showing various Ai Ethics Human Rights job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $161,477 per year, or $77.6 per hour.

AI Security Architect

Futran Tech Solutions Pvt. Ltd.

Phoenix, AZ • On-site

$63.25 - $81.75/hr

Full-time

Posted 18 days ago

Job description

Hello,
Greetings for the day!
My name is Stella, and I am a Technical Recruiter at Futran Solutions. I am reaching out to you on an exciting job opportunity with one of our clients. Please let me know your interest and a good time to connect with you to take it forward.
Title: AI Security Architect
Location: Phoenix AZ - Onsite
Duration: Full Time / Contract
Role Summary The Security Architect will be part of a team whose role is to assure enterprise security architecture with a focus on the review and authorship of Architecture Decision Records (ADRs) and Security Architecture Review Board (SARB) submissions. The role blends deep technical acumen with emerging expertise in Generative AI (GenAI) and Agentic systems, ensuring secure design, governance, and responsible adoption of intelligent automation within the enterprise.
Key Responsibilities
Architecture Review & Advisory
Lead security reviews of solution and domain architectures, ADRs, and AI-enabled platforms.
Assess GenAI and agentic solution designs for model security, data protection, prompt integrity, provenance, and safe orchestration of agents.
Evaluate proposals for alignment with enterprise standards, regulatory expectations, and risk tolerance.
Produce actionable review comments with traceable recommendations, covering both traditional and AI-driven architectures.
Authoring & Governance
Author and maintain ADRs, patterns, and reference architectures-including those covering GenAI system integration, LLM usage, and multi-agent frameworks.
Ensure architectural documentation expresses the problem space, options, controls, and trade-offs clearly and defensibly.
Promote structured architectural reasoning supported by both human and GenAI-assisted analysis workflows.
GenAI & Agentic Security
Define and assess controls for GenAI systems, including:
Model access, data boundary, and prompt injection defenses.
Guardrails for AI agents performing autonomous actions or multi-step reasoning.
Secure orchestration, isolation, and human oversight mechanisms.
Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
Contribute to enterprise policy for responsible AI use and GenAI-assisted development.
Technical Leadership
Provide domain expertise in application, cloud, and data security-augmented by AI security design considerations.
Support teams in safely embedding GenAI copilots, RAG systems, and autonomous agents within business processes.
Lead threat modeling for composite systems where GenAI interacts with APIs, data stores, and user environments.
Continuous Improvement & Automation
Use and refine GenAI tools for document review, security design assistance, and ADR quality assurance.
Develop reusable prompts, review heuristics, and decision frameworks that enhance SARB throughput and consistency.
Mentor peers in human-AI collaborative authoring, emphasizing accountability and verification of AI output.
Core Competencies
Enterprise security architecture (SABSA, TOGAF, NIST CSF).
GenAI systems architecture, LLM lifecycle, and model governance.
AI security patterns (threat modeling for LLMs, data leakage prevention, agent control).
Strong authorship and analytical writing-clear articulation of decisions and consequences.
Familiarity with tools for architectural diagramming, review automation, and GenAI-assisted design (e.g., Lang Chain, OpenAI GPT, Guardrails AI).
Broad experience across cloud, data, application, and API security domains.
Qualifications:
Bachelor's or Master's in Computer Science, Cybersecurity, or related field.
7+ years of experience in architecture or security design, including AI-related systems.
Desirable certifications: CISSP, CCSP, SABSA, TOGAF, or AI-specific credentials (e.g., NIST AI RMF, MIT AI Ethics, Azure AI Engineer).
Demonstrable experience with secure implementation of GenAI or autonomous agents in enterprise settings.
Success Measures
Secure-by-design adoption of GenAI and agentic capabilities across business domains.
Clear, complete, and AI-assisted ADRs produced and reviewed efficiently.
Reduced residual security risk in AI and non-AI solutions through proactive architectural engagement.
Recognition as a thought leader in secure GenAI architecture and governance.

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