1

Ai Researcher In Ethics Jobs in Spring, TX (NOW HIRING)

In-House Counsel - Technology Transactions Job Type: Contractor Location: Remote Job Overview We ... Apply your transactional legal expertise to high-impact AI research and development. * Contribute ...

Senior Advanced AI Research Engineer

Houston, TX · On-site

$99K - $137K/yr

You investigate hard, open problems in agentic AI - and you close the loop: turning research ... findings into engineered prototypes, then into platform-ready capabilities that real workloads ...

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel ...

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel ...

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel ...

next page

Showing results 1-20

Ai Researcher In Ethics information

See Spring, TX salary details

$26.7K

$100.6K

$146.4K

How much do ai researcher in ethics jobs pay per year?

As of Sep 1, 2026, the average yearly pay for ai researcher in ethics in Spring, TX is $100,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $137,000.00 per year, depending on experience, location, and employer.

What is an AI researcher in ethics?

AI researchers in ethics are professionals who study and address the ethical implications of artificial intelligence technologies. They analyze how AI impacts society, including issues like bias, privacy, transparency, and accountability. Their work involves developing guidelines, frameworks, and recommendations to ensure responsible AI development and deployment. These researchers often collaborate with technologists, policymakers, and organizations to promote fairness and prevent harm. Their goal is to make sure AI systems benefit society while minimizing potential risks.

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

To thrive as an AI Researcher in Ethics, you need a strong background in computer science, philosophy, or related fields, often supported by advanced degrees and a solid understanding of both AI technologies and ethical frameworks. Familiarity with programming languages (like Python), machine learning libraries, and ethical AI assessment tools is typically required. Outstanding analytical thinking, communication skills, and interdisciplinary collaboration make someone stand out in this position. These skills and qualities are crucial to ensure the responsible development and deployment of AI systems that align with societal values and mitigate potential harms.

What are some common challenges faced by AI researchers in ethics when collaborating with technical development teams?

AI Researchers in Ethics often encounter challenges when bridging the gap between ethical considerations and technical implementation. One common issue is translating broad ethical principles into specific, actionable guidelines that developers can apply to algorithms and data practices. Additionally, balancing innovation with responsible AI use requires ongoing dialogue, as priorities may differ between ethics and engineering teams. Effective communication and interdisciplinary collaboration are key to ensuring that ethical standards are integrated throughout the AI development lifecycle.

What is the difference between Ai Researcher In Ethics vs Ai Researcher In Fairness?

AspectAi Researcher In EthicsAi Researcher In Fairness
Required CredentialsAdvanced degrees in AI, ethics, philosophy, or related fieldsAdvanced degrees in AI, machine learning, data science, or related fields
Work EnvironmentResearch labs, academia, industry ethics teamsTech companies, research institutions, industry teams
Industry UsageFocus on ethical implications, societal impact, policyFocus on algorithmic bias, equitable outcomes, fairness metrics
Common Search IntentUnderstanding ethical considerations in AI developmentAddressing bias and fairness in AI systems

While both roles involve AI research, Ai Researcher In Ethics emphasizes ethical principles, societal impact, and policy considerations. In contrast, Ai Researcher In Fairness concentrates on reducing bias and ensuring equitable outcomes in AI systems. Both roles often collaborate but focus on different aspects of responsible AI development.

How do I become an AI researcher in ethics?

To become an AI researcher in ethics, you typically need a strong educational background in computer science, AI, or philosophy, often at the master's or doctoral level. Developing expertise in machine learning, data analysis, and ethical frameworks, along with experience in research environments and familiarity with relevant tools, is essential for this role.

Is an AI researcher in ethics a good career?

An AI researcher in ethics is a growing field focused on developing guidelines and frameworks to ensure responsible AI development. It offers opportunities in academia, industry, and policy, often requiring strong analytical skills and knowledge of AI technologies. The career can be rewarding for those interested in societal impact and ethical considerations of technology.

What are popular job titles related to Ai Researcher In Ethics jobs in Spring, TX?

For Ai Researcher In Ethics jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Ai Researcher In Ethics jobs in Spring, TX look for?

The top searched job categories for Ai Researcher In Ethics jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ai Researcher In Ethics jobs?

Cities near Spring, TX with the most Ai Researcher In Ethics job openings:

Infographic showing various Ai Researcher In Ethics job openings in Spring, TX as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 68% In-person, 4% Hybrid, and 28% Remote job distribution, with an average salary of $100,648 per year, or $48.4 per hour.

Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Houston, TX


Baylor College of Medicine
Colleges, Universities, and Professional Schools • 5 - 10K employees

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

189th of 627 rated colleges and universities

People enjoy working here

Good employer

Recommended by parents


Full-time

Re-posted 16 days ago


Job description

Baylor College of Medicine and Department Summary:

Baylor (www.bcm.edu) is recognized as one of the nation’s premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).

Summary

Baylor College of Medicine is seeking an exceptional PhD-level AI researcher to serve as a founding leader of the Vascular Intelligence for Translational AI & Learning (VITAL) Lab-a newly funded, $14M initiative focused on transforming aortic surgery through advanced artificial intelligence, data science, and translational research.

This individual will be responsible for building the VITAL Lab from inception, establishing a state-of-the-art research infrastructure, and leading the development of innovative AI-enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease.

The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning, multimodal data) with demonstrated experience in clinical research-preferably in cardiovascular, aortic surgery domains.

Job Duties

VITAL Lab Development & Leadership

  • Lead the end-to-end buildout of the VITAL Lab, including infrastructure, governance, and research roadmap
  • Develop a world-class AI research ecosystem aligned with Baylor Medicine's strategic priorities in vascular and aortic care
  • Oversee utilization of a $14M grant portfolio, ensuring execution against milestones, deliverables, and reporting requirements
  • Establish partnerships across surgery, radiology, cardiology, and computational sciences

________________________________________

AI & Data Platform Development

  • Design and deploy scalable AI pipelines for imaging, clinical, and genomic data
  • Lead development of a large-scale, high-quality aortic research database (imaging repository, clinical registry, biobank integration)
  • Implement machine learning, deep learning, and computer vision models for:
    • Aortic disease detection and classification
    • Surgical planning and simulation, including digital twin creation and computational fluid dynamic analysis
    • Outcomes prediction and risk stratification
  • Drive AI model deployment and real-world clinical integration

________________________________________

Research & Academic Contributions

  • Lead high-impact peer-reviewed publications in top-tier journals
  • Develop and submit extramural grant proposals (NIH, NSF, DoD, industry partnerships)
  • Present research at national and international conferences
  • Establish the VITAL Lab as a global leader in AI-driven aortic surgery research

________________________________________

Clinical & Translational Collaboration

  • Collaborate closely with vascular and aortic surgeons to translate clinical needs into AI solutions
  • Integrate AI tools into clinical workflows and surgical decision-making
  • Support the development of next-generation clinical trials leveraging AI insights

________________________________________

Education & Mentorship

  • Mentor trainees including PhD students, residents, fellows, and research staff
  • Develop educational programming in AI for surgery and translational data science
Minimum Qualifications
  • PhD in Computer Science, Biomedical Engineering, Data Science, or related field
  • Demonstrated expertise in machine learning, deep learning, and AI system development
  • Proven track record of peer-reviewed publications and research impact
  • Experience building or contributing to large-scale research datasets or platforms

Preferred qualifications:

  • Prior experience in cardiovascular disease research
  • Experience working in academic medical centers or translational research environments
  • Demonstrated success in AI deployment
  • Experience managing large research programs, labs, or grant-funded initiatives
  • Proficiency in medical imaging analysis (CT, MRI, 3D reconstruction)
  • Familiarity with regulatory frameworks (HIPAA, data governance, IRB)

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.



What Baylor College of Medicine employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom