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Remote Ai Safety Jobs in Springfield, VA (NOW HIRING)

10a Labs

AI Red Teamer

Washington, DC · On-site +1

$70K - $90K/yr

Has 2-4 years of experience in red-teaming, security research, trust & safety, or related fields ... Fully remote (U.S.-based) with flexible hours. * Comprehensive health, dental, and vision.

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

... systems across AI safety and model evaluation applications. This role combines strong ML ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

ManTech

AI Assurance Engineer

Washington, DC · Remote

$141K - $236K/yr

Provide operational assurance by ensuring AI systems meet performance, safety, and security ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

10a Labs

Red Teaming Fellowship

Washington, DC · On-site +1

$32.50/hr

Conduct adversarial testing of AI systems across safety, security, and misuse scenarios * Design ... Remote work (based in the continental U.S.) * Flexible schedule, up to 20 hours per week ...

YO AI Labs

Clinicia Expert - Remote

Washington, DC · Remote

$150 - $200/hr

No prior AI experience is required--your clinical expertise and domain knowledge are what matter ... Analyze clinical study reports, safety reports, regulatory documents, and trial materials to assess ...

YO AI Labs

Hematology Expert - Remote

Washington, DC · Remote

$150 - $200/hr

No prior AI experience is required--your clinical expertise and domain knowledge are what matter ... Analyze clinical study reports, safety reports, regulatory documents, and trial materials to assess ...

micro1 AI

Pharmacovigilance Expert

Washington, DC · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

micro1 AI

Pharmacovigilance Expert

Alexandria, VA · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

TestPros

Senior AI Test Engineer (Remote)

Sterling, VA · Remote

... Materials (AI-BOMs), NSA AI Security Guidelines. Location: Remote, with occasional travel to ... safety, and other aspects of overall quality. . Key Responsibilities: Develop and execute test ...

TestPros

Senior AI Test Engineer (Remote)

Sterling, VA · On-site +1

$50 - $80/hr

OWASP AI Testing Guide, NIST AI Risk Management Framework (RMF) Location: Remote, with occasional ... safety, and other aspects of overall quality. Key Responsibilities: Develop and execute test plans ...

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Remote Ai Safety information

See Springfield, VA salary details

$10

$33

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How much do remote ai safety jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote ai safety in Springfield, VA is $33.82, according to ZipRecruiter salary data. Most workers in this role earn between $26.63 and $40.91 per hour, depending on experience, location, and employer.

What is a remote AI safety?

A Remote AI Safety job involves working from a location outside of a traditional office to research, develop, and implement strategies that ensure artificial intelligence systems operate safely and ethically. Professionals in this field focus on minimizing risks associated with AI technologies, such as unintended behavior, bias, or misuse. Tasks may include developing safety protocols, conducting risk assessments, and collaborating with multidisciplinary teams to create robust and reliable AI systems. Remote AI Safety roles are found in academia, industry, and non-profit organizations, allowing experts to contribute globally to the safe advancement of AI.

What are the key skills and qualifications needed to thrive as a remote AI safety specialist?

To thrive as a Remote AI Safety Specialist, you need a strong background in machine learning, computer science, and ethics, often supported by an advanced degree in a related field. Familiarity with tools like Python, TensorFlow or PyTorch, and experience with safety analysis frameworks or relevant certifications are highly valued. Excellent problem-solving, critical thinking, and clear written communication skills are crucial for collaborating remotely and addressing complex safety concerns. These abilities ensure the development and deployment of reliable, ethical AI systems that minimize risk and comply with industry standards.

What are some common challenges faced by professionals working in remote AI safety roles, and how can they be addressed?

Professionals in remote AI Safety roles often encounter challenges such as collaborating across time zones, staying updated on rapidly evolving AI risks, and communicating complex safety concepts to non-technical stakeholders. To address these issues, it's helpful to establish clear communication protocols, participate in regular virtual meetings, and leverage collaborative tools like shared documentation and chat platforms. Additionally, staying engaged in online AI safety communities and continuous learning are key practices for remaining effective and informed in this dynamic field.

What is the difference between Remote Ai Safety vs Remote Ai Ethics Specialist?

AspectRemote Ai SafetyRemote Ai Ethics Specialist
Required CredentialsAI safety certifications, technical background in machine learningEthics certifications, background in philosophy or social sciences
Work EnvironmentResearch labs, tech companies, remote teams focused on AI safetyPolicy organizations, tech firms, remote roles emphasizing ethical AI use
Industry UsagePrimarily in AI safety research and developmentIn AI policy, ethics compliance, and responsible AI deployment

Remote Ai Safety focuses on developing and implementing safety measures for AI systems, often requiring technical expertise. Remote Ai Ethics Specialist emphasizes ethical considerations, policies, and societal impacts of AI. Both roles collaborate but differ mainly in their focus—technical safety versus ethical governance.

What are popular job titles related to Remote Ai Safety jobs in Springfield, VA?

For Remote Ai Safety jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Safety jobs in Springfield, VA look for?

The top searched job categories for Remote Ai Safety jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Remote Ai Safety jobs?

Cities near Springfield, VA with the most Remote Ai Safety job openings:

Remote Ai Safety jobs near you

AI Safety & Alignment Principal Lead - SAFERpower.ai

Washington, DC • On-site, Remote

Electric Power Research Institute, Inc.
1 - 5K employees
Learn more about Electric Power Research Institute, Inc.external

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Job Title:
AI Safety & Alignment Principal Lead - SAFERpower.ai
Location:
Remote/Home Based
Job Summary and Description:
The AI Safety & Alignment Principal Lead is a strategic thought leader focused on developing a deep understanding of emerging AI-enabled energy system needs, engaging EPRI and industry SMEs in evaluating potential innovative AI technologies, assurance and risk models, and deployment solutions to address those needs, while working collaboratively within EPRI's member utilities and industry stakeholders to develop and execute upon an overall strategy to demonstrate and deploy AI safely, accountably, fairly, explainably, and reliably.
In this role you will work directly with EPRI's R&D Leadership to advance SAFERpower.ai as EPRI's sector-specific AI risk assurance, and alignment initiative for the electric power sector. The role requires building collaborative relationships with key stakeholders across EPRI R&D sectors, member utilities, ISOs/RTOs, technology partners, standards organizations, policy stakeholders, and other industry leaders.
This position is intended for an executive-level leader who can operate across disciplines, not a legal, compliance-only, cyber-only, or generic enterprise AI risk governance profile. The successful candidate will combine senior energy-sector judgment, emerging technology leadership, applied AI credibility, and the ability to translate AI safety and alignment into practical research strategies, evidence packages, pilots, workshops, executive communications, and member-facing deployment guidance.
Job Functions:
  • Accumulate and maintain a knowledge base of emerging AI technologies, AI incident and failure patterns, AI governance and alignment practices, assurance methods, standards, and the integration of those technologies into the electric power sector; use this knowledge to develop thought leadership pieces and executive communications.
  • Work directly with EPRI R&D Leadership and Program Managers to shape and execute SAFERpower.ai as a cross-sector initiative supporting safe, accountable, fair, explainable, and reliable AI deployment across generation, transmission, distribution, grid operations, planning, customer operations, nuclear, cybersecurity, DER, and enterprise functions.
  • Lead matrixed teams across EPRI R&D sectors to develop and execute strategic R&D efforts related to AI Safety, alignment, assurance, testing/evaluation/verification/validation (TEVV), AI system registries, data provenance, product assurance, deployment assurance, and operational monitoring.
  • Support other strategic initiatives and projects associated with key EPRI objectives related to AI-enabled energy systems, grid modernization, operational reliability, emerging technology adoption, technology partner due diligence, and the safe operationalization of AI.
  • Support leadership in communication of SAFERpower.ai strategy, research initiatives, pilot results, and framework outputs to EPRI member executive advisories, including the EPRI Board of Directors and Research Advisory Committee, as well as member utility executives and other industry stakeholders.
  • Support processes by which EPRI program managers develop cross-cutting research strategies to address strategic AI research priorities and integrate AI assurance, and alignment considerations into existing and future EPRI research portfolios.
  • Assess the technical, operational, economic, risk, regulatory, and market viability of selected AI technologies and evaluate AI deployment scenarios in conjunction with ongoing scenario planning exercises, member pilots, domain-specific playbooks, and workshops.
  • Coordinate with utility executives, EPRI technical staff, ISOs/RTOs, technology partners, implementation partners, standards organizations, policy stakeholders, and other industry SMEs to identify common evidence needs, priority use cases, adoption barriers, and research gaps.
  • Help manage technology and knowledge transfer to key internal and external stakeholders by communicating the state of developing AI technology and key developments in AI safety, alignment, and assurance via reports, playbooks, presentations, working groups, workshops, and member engagement.
  • Guide the development of SAFERpower.ai framework artifacts, including SAFER principles and glossary, U-SAFER assessment methodology, AI System File, AI use-case dossiers, AI system cards, data and provenance records, autonomy and human oversight profiles, TEVV reports, monitoring and incident plans, product assurance guidance, deployment assurance guidance, and toolkit roadmap.
  • Contribute to EPRI strategic planning scenario development efforts and other internal initiatives to ensure AI technology advancement, autonomy risks, governance needs, assurance requirements, and deployment constraints are appropriately accounted for and represented to members.
  • Augment the pipeline of future EPRI strategic research initiatives related to AI alignment, agentic AI, foundation models, utility AI use cases, OT/cyber interfaces, AI reliability, product and deployment assurance, and member adoption of SAFERpower.ai.

Qualifications:
  • Must have a strong background with at least 15 years of experience leading energy system strategic planning, energy industry emerging technologies, utility analytics or applied AI, AI governance and assurance, power-sector technology deployment, or efforts to develop and integrate advanced technologies to provide energy system solutions.
  • Must be able to work with a variety of levels across EPRI, including direct interface with R&D Leadership, Program Managers, technical staff, marketing and communications, legal, cybersecurity, data and AI experts, and EPRI officers.
  • Must be able to build credibility with member utilities and industry stakeholders by understanding utility operating realities, reliability obligations, cybersecurity and OT constraints, data governance challenges, technology partner dependencies, and the difference between AI pilots and governed operational deployment.
  • Must be able to lead matrixed, cross-functional efforts; multi-task; quickly assess potential AI technologies; provide strong strategic and technical support; coordinate and develop executive presentation materials oftentimes outside the area of immediate expertise; develop workshops; identify new initiatives; and monitor key progress and milestones.
  • Must have demonstrated ability to translate complex technical topics into executive-ready communications, R&D strategies, member-facing guidance, and practical deployment frameworks.
  • Experience with AI ethics, responsible AI, model risk management, AI assurance, AI safety or alignment, AI testing and validation, AI incident analysis, or relevant standards and frameworks such as NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, IEC 62443, NERC CIP, or related industry practices is strongly preferred.
  • Experience working with electric utilities, ISOs/RTOs, grid technology providers, utility-focused consulting organizations, standards bodies, or research consortia is strongly preferred.
  • Have excellent written, oral, executive communication, and collaboration skills.
  • Bachelor's degree in engineering, computer science, data science, economics, business administration, energy resources, public policy, or a related discipline required.
  • Master's or Doctorate in engineering, computer science, data science, economics, business administration, energy resources, public policy, or a related discipline highly pref

The salary range for this position is $0 USD to $0 USD annually.
This salary range is an estimate, and the actual salary may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.
This role is eligible to participate in EPRI's annual incentive program. The amount of incentive varies and is subject to the terms and conditions of the plan.
This role is eligible to participate in EPRI's standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, STD/LTD and paid family leave, life and accident insurance, paid time off (flexible vacation, sick leave, and holiday pay).
EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.
EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled
Together . . . Shaping the Future of Energy.
www.epri.com

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