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Researcher Ai Ethics Jobs (NOW HIRING)

Cotiviti

Intern - Generative AI/Agentic AI/Research

$32 - $40/hr

... ethics and safety. Communication & Collaboration * Communicates technology-related updates and ... Collaborates with research and development teams, product management, and strategic analysts to ...

Lorven Technologies

AI Architect

San Jose, CA · On-site

AI ethics, fairness, and responsible AI deployment; LLMOps - layered evals (WER, entity F1, COMET ... Research emerging AI/ML technologies and propose innovative solutions * Evaluate model performance ...

Ezenius Inc

AI Architect

Catonsville, MD · Remote

$150K - $200K/yr

... ethics and policy development. · Experience with Azure AI services. · Experience with AWS AI services. Desired Skills: · Evolution of AI policy and/or framework. · Researching, analyzing, and ...

Cotiviti

Intern - Generative AI/Agentic AI/Research

$32 - $40/hr

... ethics and safety. Communication & Collaboration * Communicates technology-related updates and ... Collaborates with research and development teams, product management, and strategic analysts to ...

Lorven Technologies

AI Architect

San Jose, CA · On-site

AI ethics, fairness, and responsible AI deployment; LLMOps - layered evals (WER, entity F1, COMET ... Research emerging AI/ML technologies and propose innovative solutions * Evaluate model performance ...

SAP

SAP NS2 AI Consultant Specialist

Newtown Square, PA · On-site

... research breakthroughs to real-world problems to create business value • Ability to obtain and ... AI ethics and explainability. • Ability to ensure performance and system scalability through ...

Neurolynx Global inc

AI Architect

Santa Clara, CA · On-site

AI ethics, fairness, and responsible AI deployment; Continuous learning on emerging AI frameworks ... Research emerging AI/ML technologies and propose innovative solutions * Evaluate model performance ...

The University of New Mexico

$60 - $80/hr

The Postdoctoral Researcher will design and build the project's agentic AI stack--open-weight large ... external AI ethics advisory board. * Co-teaches research-computing and data-science training ...

Mindlance

AI Engineer

Washington, DC · On-site

$110K - $151K/yr

Certification in AI Ethics Objectives of the Assignment: * Develop and implement AI models and ... Data Analysis and Research: * Collect, preprocess, and engineer large datasets for machine learning ...

University of Florida

AST/ASO PROF

Gainesville, FL · On-site

... g., AI Ethics, Technology and AI Governance, Human Capital Analytics, Strategic Leadership in AI). Candidates will be expected to help mentor PhD students for placement in research-focused ...

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Researcher Ai Ethics information

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$113.1K

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How much do researcher ai ethics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for researcher ai ethics in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a researcher AI ethics?

AI Ethics Researchers are professionals who study the ethical implications of artificial intelligence technologies. Their work involves analyzing how AI systems affect society, ensuring that these technologies are developed and used in ways that are fair, transparent, and aligned with human values. They often collaborate with engineers, policymakers, and organizations to create ethical guidelines, evaluate risks, and develop frameworks to address issues like bias, privacy, and accountability in AI systems.

What are the key skills and qualifications needed to thrive as a researcher AI ethics?

To thrive as a Researcher in AI Ethics, you need a strong background in computer science, philosophy, or a related field, along with expertise in ethical frameworks and AI principles. Familiarity with programming languages, machine learning tools, and knowledge of regulatory standards or certifications like IEEE or ACM is beneficial. Outstanding analytical thinking, strong communication skills, and the ability to collaborate across disciplines make a candidate stand out. These skills ensure responsible AI development, informed policy recommendations, and effective stakeholder engagement in this rapidly evolving field.

What are some common challenges faced by researcher AI ethics when working with cross-functional teams?

AI Ethics Researchers often collaborate with data scientists, engineers, product managers, and legal teams to ensure responsible AI development. One of the main challenges is bridging the gap between ethical considerations and technical implementation, as not all team members may have a background in ethics. Effective communication and the ability to translate complex ethical principles into actionable guidelines are crucial. Additionally, balancing organizational goals with ethical standards can require careful negotiation and advocacy within the team.

What is the difference between Researcher Ai Ethics vs Data Scientist?

AspectResearcher Ai EthicsData Scientist
Required CredentialsAdvanced degrees in ethics, philosophy, or AI-related fields; certifications in AI ethicsDegree in computer science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch institutions, tech companies, academia focusing on ethical AI developmentTech companies, finance, healthcare, analyzing data to inform business decisions
Employer & Industry UsagePrimarily in AI development, research labs, and ethical oversight rolesAcross industries for data analysis, predictive modeling, and decision-making support

While both roles involve working with data and AI, Researcher Ai Ethics focuses on ethical considerations, policy, and societal impact, whereas Data Scientists primarily analyze data to derive insights and support business objectives.

Are AI ethicists in demand?

AI ethicists are increasingly in demand as organizations seek to develop responsible AI systems, address ethical concerns, and comply with regulations. The role often requires expertise in ethics, policy, and technical understanding of AI, with job growth driven by the expanding use of AI across industries.

How do I become a researcher AI ethics?

To become a researcher in AI ethics, typically a strong background in computer science, philosophy, or related fields is required, along with knowledge of AI technologies and ethical frameworks. Earning a relevant advanced degree such as a master's or Ph.D. and gaining experience through research projects, internships, or certifications in AI and ethics can improve prospects. Familiarity with tools like ethical assessment frameworks and programming languages such as Python is also beneficial.

What does a researcher AI ethics do?

A researcher in AI ethics studies the moral and societal implications of artificial intelligence technologies. They analyze issues such as bias, fairness, transparency, and accountability, often using interdisciplinary skills and tools like ethical frameworks and data analysis to guide responsible AI development.
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Researcher Ai Ethics jobs near you
Infographic showing various Researcher Ai Ethics job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Intern - Generative AI/Agentic AI/Research

Cotiviti

Remote

$32 - $40/hr

Full-time

Re-posted 26 days ago

Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

52nd of 226 rated it services

Job description

Overview
This internship centers on researching and developing advanced healthcare informatics solutions with a specialization in Agentic AI-AI systems capable of autonomous reasoning, decision-making, and goal-directed behavior. The intern will explore applications of Agentic and Generative AI in healthcare, supporting improvements in treatment, payment, and operations. You will play a key role in developing, analyzing, and collaborating on agentic AI projects, and work closely with cross-functional teams to drive innovative research and practical implementation in healthcare environments.
Responsibilities
Technical Expertise
  • Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
  • Assists in developing and improving LLMs and ML tools used across the organization.
  • Assists in establishing and maintaining an Artificial Intelligence Governance Program.
  • Gain hands-on experience in generative AI model development, architecture design, and database management.
  • Conduct research on Agentic AI models and their potential impact on healthcare workflows and decision-making.
  • Assist in designing, developing, and testing autonomous AI agents and generative AI systems tailored for healthcare informatics.
  • Support efforts to establish and maintain an Artificial Intelligence Governance Program with a focus on agentic AI ethics and safety.

Communication & Collaboration
  • Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
  • Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.

Leadership & Management
  • Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
  • Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
  • Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.

External Relationships & Partnerships
  • Supports vendor evaluations and contributes to collaborations with vendors.
  • Assists as a liaison between academic institutions, professional organizations, and research groups as needed.

Other
  • Complete all responsibilities and goals outlined in the internship program.
  • Complete all special projects and other duties as assigned.
  • Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti's needs and requirements of the internship evolve.
Qualifications
  • Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science, AI, etc.) with preference of a PhD.
  • Demonstrated interest or experience in AI, healthcare technology, or informatics research.
  • Strong foundational knowledge in generative AI model development, architectures, and vector databases.
  • Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
  • Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
  • Ability to work collaboratively and communicate effectively with cross-functional teams.

Mental Requirements:
  • Communicating with others to exchange information.
  • Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:
  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Must be able to provide a dedicated, secure work area.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
  • No adverse environmental conditions are expected.

Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
Date of posting: 4/15/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 08/15/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
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