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Ai Researcher In Ethics Jobs (NOW HIRING)

PyTorch/JAX). -Think in systems: data quality, scaling laws, evaluation, and deployment constraints ... What we offer -A well-funded trading firm expanding into AI research - your ideas set direction and ...

Utilizes expertise in AI and research methodologies to develop research plans, build models, run experiments, and provide models and solutions to relevant teams. Serves as research strategy liaison ...

The Research Role: We're looking for an experienced AI Researcher to join our team and help us push ... This one of the only labs in the world where you can combine your expertise on anime and deep ...

Apply Early

The Research Role: We're looking for an experienced AI Researcher to join our team and help us push ... This one of the only labs in the world where you can combine your expertise on anime and deep ...

If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us. What You Will Own As an AI researcher at Rogo, you will be at the ...

Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native ...

Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native ...

Applied AI Researcher

New York, NY · On-site

$40K - $200K/yr

Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future ... You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI ...

Applied AI Researcher

New York, NY · On-site

$40K - $200K/yr

Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future ... You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI ...

AI Researcher - Vatic Labs

Manhattan, 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.

Hudson River Trading (HRT) is seeking an LLM-focused AI Researcher to join the HAIL team. HAIL (HRT ... In this role, you'll work on every stage of the model development loop: tokenizer training, dataset ...

As a Staff AI Researcher, you will develop AI solutions that will improve health for millions of ... Experience in designing and implementing feature engineering pipelines, including data processing ...

To empower more players and fans in new and amazing ways, we need more innovators to join our world ... About the Role We are seeking a Senior AI/ML Research Scientist to advance the next generation of ...

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Ai Researcher In Ethics information

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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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Full-time

Posted 15 days ago


Job description

Join a small, fast-moving team where you'll explore, invent, and discover.
We're training foundational models for financial applications on unique, multimodal datasets.
What you'll do
-Formulate and pursue original research agendas (reasoning, tool connectivity, robustness, alignment, data/compute efficiency).
-Follow Ideas to PoC to MVP to training to validation, owning all steps of the process with deep collaboration with Research Engineers (see other open role).
-Build rigorous evaluation suites through simulated environments and real time evaluation.
-Prototype fast with real data; partner with Research Engineers to take promising ideas to production.
You might be a fit if you
-Are a self-starter who thrives on coding autonomy and project collaboration within small-team, high velocity environments.
-Have strong ML research chops (theory and practice), and write clean, reproducible code (e.g. PyTorch/JAX).
-Think in systems: data quality, scaling laws, evaluation, and deployment constraints - not just model internals.
-Prefer clear principles, low ego and prefer collaboration over titles and politics. Helpful backgrounds (any of the following)
-Frontier labs experience (e.g., Anthropic, OpenAI, DeepMind); or
-Novel discovery through published work (NeurIPS/ICML/ICLR); or
-Led research in an applied setting (startups, open-source, or products at scale); or
-Standout independent achievement (notable OSS, benchmarks, or widely used methods).
Research areas we're excited about
-Efficient training (HRM, distillation, sparse/MoE, FSDP, etc.).
-Reasoning and tool use (automated trading and agentic interaction with data sources).
-Multimodal Inputs and Outputs (multiple forms of text and time-series both in and out).
What we offer
-A well-funded trading firm expanding into AI research - your ideas set direction and standards.
-Real ownership from hypothesis to deployment.
-Competitive base with meaningful upside tied to research impact.
-A culture optimized for deep work, fast learning, and doing the right thing.
If this sounds like you, apply.