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Ai Researcher In Ethics Jobs in Indiana (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Carmel, IN · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

Cisco

Applied AI Scientist

Indianapolis, IN

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS ... ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to stateoftheart methods and ...

Lasting Change Inc

AI Engineer

Fort Wayne, IN · On-site

Stay current with developments in AI research and tooling; evaluate and introduce new capabilities where they create genuine organizational value. * Participate in shaping the long-term AI roadmap ...

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

Stay current with developments in AI research and tooling; evaluate and introduce new capabilities where they create genuine organizational value. * Participate in shaping the long-term AI roadmap ...

micro1 AI

AI Training Specialist - Chemistry

Carmel, IN · Remote

$70 - $90/hr

... and research domain. In this role, you'll apply your expertise to help train next-generation AI ... systems. Your work will shape how models learn, reason, and perform through high-quality, real ...

micro1 AI

AI Training Specialist - Chemistry

Fishers, IN · Remote

$70 - $90/hr

... and research domain. In this role, you'll apply your expertise to help train next-generation AI ... systems. Your work will shape how models learn, reason, and perform through high-quality, real ...

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Ai Researcher In Ethics information

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.

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Cities in Indiana with the most Ai Researcher In Ethics job openings:

Ai Researcher In Ethics jobs near you

AI Training Specialist - Physics

micro1 AI

Carmel, IN • On-site, Remote

$80 - $150/hr

Part-time

Posted 15 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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