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Ethical Ai Jobs (NOW HIRING)

Accord Technologies Inc.

Gen AI Architect

New York, NY · On-site

$69 - $90.75/hr

Ensure models adhere to governance, security, explainability, and regulatory compliance, embedding ethical AI principles into system design. * Guide engineering teams in the implementation of AI ...

Credo AI

AI Governance Advisor

$170K - $180K/yr

An academic foundation in ethical AI principles with practical experience in applying these principles within a business context. * Exceptional communication skills with the ability to convey complex ...

Apex Informatics

Senior Cloud AI Architect

GA · On-site

Create the design and implementation of secure, scalable, and ethical AI solutions to support government and public service missions. * Modernize public sector operations, improve citizen engagement ...

HireITPeople

Senior Cloud AI Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

The Senior Cloud and AI Architect is an experienced, advanced-level professional responsible for creating the design and implementation of secure, scalable, and ethical AI solutions to support ...

COLSA Corporation

Cyber AI Specialist

Huntsville, AL · On-site

Provide technical guidance on AI model lifecycle management, model evaluation, data governance, and ethical AI considerations. Support system integration, testing, and accreditation efforts. Prepare ...

Artius Solutions

AI Product Manager

Chanhassen, MN · On-site

In this role, you'll collaborate with business, data science, and engineering teams to identify AI-driven opportunities, manage product roadmaps, and ensure ethical, high-performing solutions are ...

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Ethical Ai information

What is the difference between Ethical Ai vs Data Scientist?

AspectEthical AiData Scientist
Required CredentialsKnowledge of AI ethics, data privacy, and bias mitigationDegree in Data Science, Computer Science, or related field; programming skills
Work EnvironmentResearch-focused, policy development, cross-disciplinary teamsData analysis, model development, coding, and statistical analysis
Industry UsageTech companies, research institutions, organizations emphasizing responsible AITech, finance, healthcare, and various industries requiring data insights

Ethical Ai professionals focus on ensuring AI systems are fair, transparent, and aligned with ethical standards, often working on policy and bias mitigation. Data Scientists primarily analyze data, develop models, and extract insights. While both roles require technical skills, Ethical Ai emphasizes ethics and policy, whereas Data Scientists focus on data analysis and modeling.

How to become an ethical AI?

To become an ethical AI professional, one should develop expertise in AI ethics, fairness, and bias mitigation, often through relevant degrees or certifications. Skills in data analysis, programming, and understanding of societal impacts are essential, along with staying informed about evolving ethical standards and regulations in AI development.

What are the careers in ethical ai?

Careers in ethical AI include roles such as AI ethicist, AI policy analyst, machine learning fairness researcher, and AI compliance officer. These positions focus on ensuring AI systems are developed and deployed responsibly, often requiring knowledge of AI algorithms, data privacy, and ethical frameworks.
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Cities with the most Ethical Ai job openings:

What states have the most Ethical Ai jobs?

States with the most job openings for Ethical Ai jobs include:

What job categories do people searching Ethical Ai jobs look for?

The top searched job categories for Ethical Ai jobs are:

Ethical Ai jobs near you
Infographic showing various Ethical Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.

AI Safety & Responsible AI Lead (Responsible AI | AI Governance | Model Risk | Ethical AI)

Jersey City, NJ • On-site

Niche IT Software Solutions LLC
See more jobs at Niche IT Software Solutions LLCexternal

Other

Posted 27 days ago

Job description

AI Safety & Responsible AI Lead

Responsible AI | AI Governance | Model Risk | Ethical AI
Level: Governance Lead / Senior Manager / Director-Level Specialist

Role Overview

We are seeking an AI Safety & Responsible AI Lead to define and implement practical governance across enterprise AI platforms and citizen-development initiatives. This role ensures AI systems are safe, fair, explainable, transparent, compliant and continuously monitored.

Key Responsibilities
  • Define Responsible AI policies, risk taxonomies, control frameworks and governance operating models.
  • Establish processes for AI use-case intake, risk assessment, approvals, production readiness, monitoring and issue escalation.
  • Develop evaluation frameworks covering fairness, bias, explainability, privacy, robustness, hallucinations, harmful outputs and human oversight.
  • Define guardrails for LLMs, RAG systems, agentic workflows and high-risk banking use cases such as KYC, credit underwriting, financial crime and sanctions screening.
  • Govern citizen-development solutions built using Power Platform, Copilot Studio, Power Apps, Power Automate and Power BI.
  • Lead AI impact assessments, control reviews, remediation planning and incident-escalation processes.
  • Establish metrics for bias, safety violations, hallucinations, behaviour drift and user feedback.
  • Partner with legal, compliance, model risk, cybersecurity, audit, data, product and engineering teams.
Required Skills
  • Strong expertise in Responsible AI, AI ethics, model governance, model risk, fairness, explainability, privacy and safety.
  • Experience implementing AI governance controls in enterprise or production environments.
  • Understanding of LLM risks, including hallucination, bias, toxicity, prompt injection, data leakage, unsafe automation and overreliance.
  • Ability to translate policies and regulatory requirements into practical engineering, operational and audit controls.
  • Strong cross-functional stakeholder management and experience developing scalable governance frameworks.
Preferred Experience
  • Banking, insurance, fintech, consulting, model risk, regulatory risk or data-governance experience.
  • Experience building AI risk taxonomies, control libraries, governance models and Responsible AI playbooks.
  • Familiarity with Power Platform, Copilot Studio, global AI governance frameworks, model validation, privacy regulations and audit requirements.

Alternate Titles: Responsible AI Lead, AI Governance Lead, AI Risk Lead, Model Governance Lead, AI Ethics Lead, AI Policy Lead or AI Safety Lead.

 
 
 
 

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