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Ai Researcher In Ethics Jobs (NOW HIRING)

Scout AI

AI Researcher

Sunnyvale, CA · On-site

The AI Researcher will lead research in areas such as reinforcement learning and multi-agent coordination to support the development and deployment of this technology. Responsibilities : • Conduct ...

Nastech Global

AI Researcher

Mountain View, CA · On-site

AI Researcher Location: Mountain View, CA / Warren,MI(onsite) Job Type: Full time Research in advanced areas of Computer vision for COBOTS & Autonomous Robots for Manufacturing Plant. The role ...

Apply Early

Cisco

AI Researcher

San Jose, CA · On-site

We are particularly interested in researchers with deepexpertisein algorithm design for pre-training and post-training, scalable data curation, and reliable AI infrastructure. You will drive ...

Cisco

AI Researcher

Milpitas, CA · On-site

We are particularly interested in researchers with deepexpertisein algorithm design for pre-training and post-training, scalable data curation, and reliable AI infrastructure. You will drive ...

Cisco

AI Researcher

San Francisco, CA · On-site

We are particularly interested in researchers with deepexpertisein algorithm design for pre-training and post-training, scalable data curation, and reliable AI infrastructure. You will drive ...

Cisco

AI Researcher

San Francisco, CA · On-site

We are particularly interested in researchers with deepexpertisein algorithm design for pre-training and post-training, scalable data curation, and reliable AI infrastructure. You will drive ...

Cisco

AI Researcher

Milpitas, CA · On-site

We are particularly interested in researchers with deepexpertisein algorithm design for pre-training and post-training, scalable data curation, and reliable AI infrastructure. You will drive ...

Hume AI

AI Researcher

San Jose, CA · On-site +1

$180K - $350K/yr

Hume AI is seeking talented AI researchers interested in working with our team to build state-of-the-art speech-language models (SLMs). Our new SLM training method-reinforcement learning from human ...

Hum AI

AI Researcher

San Francisco, CA · On-site

You'll be at the core of a moonshot journey to define what's next in agentic AI and frontier model capabilities. We are looking for an experienced AI Researcher who is eager to advance the frontier ...

Compunnel

Applied AI Researcher

Jersey City, NJ · On-site

Key Responsibilities • Conduct applied research in LLMs, GenAI, NLP, information retrieval, multimodal AI, synthetic data, and agentic AI. • Design experiments to evaluate model performance ...

NTT DATA North America

Applied AI Researcher

NTT DATA North America is a recognized leader in IT and business services, and they are seeking an Applied AI Researcher. The role focuses on bridging advanced AI research with practical enterprise ...

VDart, Inc.

Applied AI Researcher

Jersey City, NJ · On-site

Conduct applied research in LLMs, GenAI, NLP, information retrieval, multimodal AI, synthetic data, and agentic AI. * Design experiments to evaluate model performance, robustness, safety, scalability ...

Workday

Principal AI Researcher

Atlanta, GA

We're in this together, tackling big challenges with bold ideas and genuine care. We look for ... Ethics & Trust: A deep commitment to developing AI that is explainable, fair, and safe for the ...

Workday, Inc.

Principal AI Researcher

Pleasanton, CA · On-site

We're in this together, tackling big challenges with bold ideas and genuine care. We look for ... Ethics & Trust: A deep commitment to developing AI that is explainable, fair, and safe for the ...

Workday

Principal AI Researcher

Pleasanton, CA

We're in this together, tackling big challenges with bold ideas and genuine care. We look for ... Ethics & Trust: A deep commitment to developing AI that is explainable, fair, and safe for the ...

Vatic Labs

AI Researcher

New York, NY · On-site

$175K - $250K/yr

D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.

Workday

Principal AI Researcher

Seattle, WA

We're in this together, tackling big challenges with bold ideas and genuine care. We look for ... Ethics & Trust: A deep commitment to developing AI that is explainable, fair, and safe for the ...

8VC

AI Researcher - Thorin

San Francisco, CA · On-site

AI Researcher Location : San Francisco Company : Thorin Stage : Seed | Incubated at 8VC About ... Develop novel machine learning research grounded in real-world product needs. * Explore new model ...

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$30K

$113.1K

$164.5K

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

As of Jul 7, 2026, the average yearly pay for ai researcher in 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 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.

What are the key skills and qualifications needed to thrive as an AI Researcher in Ethics, and why are they important?

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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence research or leadership, such as senior AI researcher, AI director, or chief AI officer, often requiring advanced skills in machine learning, deep learning, and ethical considerations. These roles usually involve overseeing AI development, strategy, and ethical implementation, and may require extensive experience, advanced degrees, and industry expertise.

How can I become an AI ethicist?

To become an AI ethicist, you typically need a strong background in computer science, philosophy, or related fields, often with a focus on ethics, policy, or social implications of AI. Gaining experience through relevant coursework, research, or certifications in AI, ethics, or data privacy can be beneficial. Developing skills in critical thinking, ethical analysis, and familiarity with AI tools and frameworks is also important for this role.

What does an AI ethics researcher do?

An AI ethics researcher studies the moral and societal implications of artificial intelligence technologies. They analyze issues such as bias, fairness, transparency, and accountability in AI systems, often using interdisciplinary approaches and tools like ethical frameworks and data analysis. Their work helps guide the responsible development and deployment of AI.

What are AI researchers 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.

How much do AI ethicists make?

AI ethicists typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in ethics, policy, or AI development can command higher salaries, especially in tech-focused organizations or research institutions.
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Ai Researcher In Ethics jobs near you

AI Researcher in EBM

Logical Intelligence

San Francisco, CA

Other

Posted 23 days ago

Job description

Who we are

At Logical Intelligence, we're revolutionizing software development with AI-powered formal verification. We've developed groundbreaking agents that provide mathematical guarantees of code correctness, ensuring that software behaves exactly as intended while proactively identifying bugs and security vulnerabilities. Our novel foundation model enables scalable, precise reasoning for formally verifiable code across Rust, Golang, and smart contract VMs. We've won a well-known formal verification benchmark called PutnamBench, which consists of 672 hard math problems from the William Lowell Putnam Exam, the oldest collegiate mathematics competition in North America. Backed by a world-class team - including ICPC champions, a Fields Medalist and an ACM Turing Award winner - we're building the future where all code is provably correct.

About the role

Join our team as an AI Research Engineer and help us push the boundaries of what's possible in logical reasoning! We're looking for a motivated individual to build, maintain, and improve innovative approaches including (but not limited to!) energy-based modeling (EBM). You'll be at the forefront of designing and refining algorithms that go beyond the capabilities of traditional Large Language Models (LLMs), tackling complex reasoning challenges. You'll work closely with a talented team of AI experts, EBM specialists, formal verification engineers, and software developers to create groundbreaking solutions.

What you'll do
  • Research new reasoning algorithms and models
  • Pre-train and fine-tune the State-of-the-Art LLMs
  • Combine Reasoning algorithm and LLMs
  • Build effective and efficient ML pipelines
  • Collaborate with other teams to understand their pain points and priorities to define milestones of the corresponding roadmaps
  • Derive practical solutions and integrate them with the results of other teams to provide the best overall resolution
Qualifications
  • You have an M.Sc. or Ph.D. (preferable) focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field
  • You have subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Reasoning, Energy-based Modeling (preferable)
  • Expertise in programming languages and tools critical for high-performance computing in Python/C++ and machine learning including Deep Learning frameworks like PyTorch /TensorFlow/JAX
  • Strong communication and teamwork skills
  • Experience with explicit and implicit reasoning
  • Provable record of Energy-based usage for different problems
  • Hands-on with algorithms used to train Energy-based models
  • Demonstrated research publications in any of the major conferences (CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, ACL, etc.)

Bonus Points

  • Multi-node and multi-GPU training
  • Mathematical Reasoning - discrete math and logic
  • Formal Verification - lean

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