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Remote Artificial Intelligence Ethics information

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$83.5K

$127K

$171K

How much do remote artificial intelligence ethics jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote artificial intelligence ethics in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior machine learning executives, often in large tech companies or specialized firms. These positions usually require extensive experience, advanced degrees, and expertise in AI ethics, development, or strategy, and may include bonuses or stock options that contribute to total compensation.

What are the key skills and qualifications needed to thrive as a Remote Artificial Intelligence Ethics Specialist, and why are they important?

To thrive as a Remote Artificial Intelligence Ethics Specialist, you need a solid grounding in AI technologies, data privacy laws, and ethical frameworks, often supported by degrees in computer science, philosophy, law, or related fields. Familiarity with AI governance tools, algorithm auditing systems, and relevant certifications such as Certified Artificial Intelligence Ethics Professional (CAIEP) is highly valuable. Outstanding analytical thinking, communication skills, and the ability to navigate complex ethical dilemmas help professionals excel in this role. These skills are crucial for ensuring responsible AI development, mitigating risks, and fostering public trust in emerging technologies.

What are some common challenges faced in a remote Artificial Intelligence Ethics role, and how can they be addressed?

Professionals in remote AI Ethics roles often encounter challenges such as staying current with rapidly evolving ethical standards, coordinating with diverse global teams, and ensuring effective communication across time zones. To address these, it's important to actively participate in virtual ethics forums, leverage collaborative tools for documentation and discussion, and establish clear communication norms with stakeholders. Regular check-ins and transparent workflows help ensure alignment on ethical guidelines and project goals, fostering a strong and cohesive remote team environment.

What are Remote Artificial Intelligence Ethics professionals?

Remote Artificial Intelligence Ethics professionals are experts who work from various locations to ensure that AI systems are developed and deployed in a manner that is ethical, fair, and socially responsible. They analyze the potential impacts of AI, create guidelines to prevent bias, and address concerns like privacy, accountability, and transparency. These specialists often collaborate with engineers, policymakers, and stakeholders to develop ethical frameworks and ensure compliance with regulations. Their work helps organizations build trustworthy AI solutions while protecting individuals and society.

How much do AI ethicists get paid?

AI ethicists typically earn between $80,000 and $150,000 annually, depending on experience, education, and the organization. Senior roles or those with specialized skills in policy, law, or technical ethics can command higher salaries, especially in tech companies or research institutions.

Are AI ethicists in demand?

AI ethicists are increasingly in demand as organizations seek to develop responsible AI systems and address ethical concerns related to bias, privacy, and accountability. The role often requires expertise in ethics, AI technologies, and policy, with opportunities growing in tech companies, research institutions, and regulatory agencies.

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, certifications, or research in AI ethics, along with skills in critical thinking and communication, is essential. Many professionals also stay updated on industry standards and participate in interdisciplinary discussions or organizations dedicated to AI ethics.

What is the difference between Remote Artificial Intelligence Ethics vs Remote Data Scientist?

AspectRemote Artificial Intelligence EthicsRemote Data Scientist
Required CredentialsMaster's in AI, Ethics, Philosophy, or related fields; certifications in AI ethicsDegree in Data Science, Statistics, Computer Science; certifications in data analysis and machine learning
Work EnvironmentRemote, often interdisciplinary teams focusing on ethical AI developmentRemote or on-site, working with data analysis, modeling, and algorithms
Employer & Industry UsageTech companies, research institutions, organizations focusing on responsible AITech firms, finance, healthcare, and other industries utilizing data-driven solutions

While both roles involve working with AI and data, Remote Artificial Intelligence Ethics focuses on ensuring AI systems are developed and used ethically, emphasizing policy, fairness, and societal impact. Remote Data Scientists primarily analyze data to derive insights and build models. The ethics role requires a strong understanding of ethical principles, whereas data scientists focus on technical data analysis skills.

More about Remote Artificial Intelligence Ethics jobs
What cities are hiring for Remote Artificial Intelligence Ethics jobs? Cities with the most Remote Artificial Intelligence Ethics job openings:
What are the most commonly searched types of Artificial Intelligence Ethics jobs? The most popular types of Artificial Intelligence Ethics jobs are:
What states have the most Remote Artificial Intelligence Ethics jobs? States with the most job openings for Remote Artificial Intelligence Ethics jobs include:
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Remote Artificial Intelligence Ethics jobs near you
Infographic showing various Remote Artificial Intelligence Ethics job openings in the United States as of June 2026, with employment types broken down into 7% Internship, 65% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Artificial Intelligence Software Engineer

4 Staffing Corp

Manhattan, NY • On-site, Remote

Other

Posted 9 days ago

Job description

Artificial Intelligence Software Engineer

New York, New York, United States Or refer someone Job Openings

About the Job Artificial Intelligence Software Engineer

Artificial Intelligence Software Engineer - Hybrid/Remote - NYC

No visa sponsorship available at this time.

Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and implementing AI algorithms and software solutions to solve complex problems across various domains. The ideal candidate will have a strong background in machine learning, deep learning, and software development, with a passion for pushing the boundaries of AI technology.

Responsibilities:

  • Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions tailored to specific applications.
  • Design and implement machine learning algorithms and models for tasks such as classification, regression, clustering, and natural language processing.
  • Develop and optimize neural networks and deep learning architectures for tasks such as image recognition, speech recognition, and recommendation systems.
  • Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring robust performance and generalization.
  • Implement scalable and efficient software solutions for deploying AI models in production environments, including cloud-based platforms and edge devices.
  • Collaborate with software engineers to integrate AI capabilities into existing software systems and develop AI-driven features and products.
  • Research and evaluate emerging technologies and techniques in machine learning and AI, staying abreast of advancements in algorithms, frameworks, and tools.
  • Document design specifications, implementation details, and best practices for internal and external stakeholders.
  • Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team.

Requirements:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's or Ph.D. preferred.
  • Proven experience in machine learning, deep learning, and AI software development, with a minimum of 3 years in a relevant role.
  • Proficiency in programming languages such as Python, Java, or C++, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning.
  • Experience with deep learning techniques and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
  • Familiarity with software engineering best practices, including version control, testing, and code review.
  • Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions.
  • Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

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