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Remote Artificial Intelligence Policy Jobs (NOW HIRING)

Statheros

Job Responsibilities * Design, implement, and optimize Proximal Policy Optimization (PPO ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

GXM Consulting

Artificial Intelligence (AI) Lead Tester

$120K - $180K/yr

GXM Technologies is seeking an Artificial Intelligence (AI) Lead Tester to provide both hands-on ... This position is Remote with Ad-Hoc travel possible but not expected. Responsibilities * Manage and ...

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Remote Artificial Intelligence Policy information

What is a Remote Artificial Intelligence Policy professional?

A Remote Artificial Intelligence Policy professional is someone who works from a remote location to develop, analyze, and implement policies related to the ethical and legal use of artificial intelligence technologies. Their work involves researching AI regulations, drafting policy recommendations, and collaborating with stakeholders such as government agencies, tech companies, and advocacy groups. These professionals help ensure that AI systems are developed and deployed responsibly, considering issues like privacy, bias, and transparency. The role often requires strong analytical skills, familiarity with AI technologies, and knowledge of relevant laws and regulations.

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

To excel as a Remote Artificial Intelligence Policy Specialist, you need a solid background in public policy, law, or technology, often supported by a relevant degree and experience with AI ethics and regulations. Familiarity with policy analysis tools, regulatory frameworks, and data privacy legislation is essential, along with proficiency in collaborative platforms like Slack or Microsoft Teams. Strong analytical thinking, written communication, and the ability to build consensus across stakeholders are crucial soft skills for this role. These skills ensure effective policy development, compliance, and advocacy in the rapidly evolving landscape of artificial intelligence.

How does a Remote Artificial Intelligence Policy professional typically collaborate with technical and legal teams to develop effective AI governance frameworks?

Remote AI Policy professionals often serve as a bridge between technical teams, such as data scientists and engineers, and legal or compliance departments. They are responsible for interpreting complex regulations and ethical guidelines, then working closely with technical teams to ensure AI systems are developed and deployed in a compliant manner. Regular virtual meetings, collaborative document reviews, and cross-functional workshops are common, requiring strong communication skills and a proactive approach to stakeholder engagement. This role offers the unique opportunity to influence both technological innovation and organizational policy from a strategic perspective.
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Remote Artificial Intelligence Policy jobs near you
Infographic showing various Remote Artificial Intelligence Policy job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 50% Full Time, 34% Part Time, and 13% Contract. Highlights an 100% Remote job distribution.
VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

Next Step Systems

San Francisco, CA • Remote

$116K - $147K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago

New

Job description

Job Description

VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

The VP of Research, Machine Learning (ML) will own the research and intelligence direction of this system. The VP of Research, Machine Learning (ML) will define how Artificial Intelligence (AI) reasons, evaluates, and improves in a product used with high frequency.  This position is 100% Remote.

VP of Research, Machine Learning (ML) Responsibilities:

- Set and evolve the research direction for the core intelligence, including context representation, memory, reasoning, planning, and orchestration.

- Decide when to design new model architectures versus adapting or leveraging frontier open-source or commercial models.

- Define evaluation frameworks that measure real-world usefulness, robustness, safety, and long-term behavior, not benchmark vanity.

- Own alignment, safety, and guardrail strategy as first-class product concerns.

- Guide exploration of frontier techniques such as retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, and multimodal systems.

- Shape early product intelligence direction in close partnership with product and application engineering.

- Set the technical bar for research rigor, judgment, and taste across the organization.

Qualifications

VP of Research, Machine Learning (ML) Qualifications:

- Deep experience building or evolving real Machine Learning (ML) systems used in production.

- Artificial Intelligence (AI) experience required.

- Strong technical judgment around model behavior, failure modes, and long-horizon trade-offs.

- A builder's mindset, you care about systems that work in the real world, not just ideas.

- Comfortable making irreversible or high-impact decisions with incomplete information.

- Obsession with evaluation, correctness, and how systems behave over time.

- High ownership mentality; you operate as a founder, not a manager.

- Tech Stack:  GPU-based training and inference system, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, VP of Research, Machine Learning (ML), AI, Artificial Intelligence, GPU, JAX, ML, Machine Learning, Python, PyTorch, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a VP of Research, Machine Learning (ML) in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire VPs of Research, Machine Learning (ML) for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

Please check out all of our jobs at www.nextstepsystems.com.

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