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Virtual Ai Rater Jobs in Washington, DC (NOW HIRING)

AI Policy Manager

Washington, DC · On-site +1

$153K/yr

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

AWS AI Cloud Engineer

Reston, VA · On-site

$86K - $198K/yr

Experience with API management including batching, caching, throttling, and rate limiting ... virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first ...

Experience with API management including batching, caching, throttling, and rate limiting ... virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first ...

Analyze electric utility rate structures, tariffs, and interconnection requirements for prospective ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

... physical, virtual, and container platforms. Due to federal security clearance requirements ... Rate: $45.00 to $50.00/hr. w2 Responsibilities: * Administer and manage Red Hat Enterprise Linux ...

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How much do virtual ai rater jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for virtual ai rater in Washington, DC is $27.63, according to ZipRecruiter salary data. Most workers in this role earn between $23.12 and $31.06 per hour, depending on experience, location, and employer.

What are some common challenges Virtual AI Raters face when evaluating AI-generated content, and how can these be addressed?

Virtual AI Raters often encounter challenges such as maintaining objectivity, adapting to evolving evaluation criteria, and managing repetitive tasks. To address these, it's important to follow standardized guidelines closely, participate in regular calibration sessions with peers or supervisors, and utilize provided tools for efficient task management. Engaging in ongoing training and staying updated on best practices can also help raters ensure consistent and high-quality evaluations.

What are Virtual AI Raters?

Virtual AI Raters are individuals who remotely evaluate and assess the accuracy, relevance, and quality of artificial intelligence outputs, such as search engine results, ads, or chatbot responses. They follow specific guidelines to rate or annotate data, helping improve AI systems' performance. This role typically requires strong attention to detail, familiarity with online search engines, and the ability to provide objective feedback. Virtual AI Raters usually work part-time and have flexible schedules, making it a popular option for those seeking remote work opportunities.

What are the key skills and qualifications needed to thrive as a Virtual AI Rater, and why are they important?

To thrive as a Virtual AI Rater, you generally need strong analytical skills, attention to detail, and proficiency in English or the target language, often supported by a high school diploma or higher. Familiarity with web browsers, online research, and rating platforms or proprietary evaluation systems is typically required. Excellent time management, reliability, and the ability to follow detailed instructions set top performers apart in this role. These skills ensure accurate and consistent feedback, which is crucial for improving AI systems and maintaining quality standards.
What are the most commonly searched types of Ai Rater jobs in Washington, DC? The most popular types of Ai Rater jobs in Washington, DC are:
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AI Policy Manager

Meta

Washington, DC • On-site, Remote

$153K/yr

Full-time

Re-posted 9 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 246 rated software companies


Job description

Meta is looking for an AI Policy Manager to join our AI Policy team. In this role, you will work closely with the team to navigate novel and complex issues related to the governance of AI, including model behaviors, AI agents, and national security considerations. You will collaborate with cross-functional partners and own key policy domains, lead strategic engagements with industry associations and research centers, support government engagement on AI governance and national security, and develop proactive responses to new and emerging AI governance questions.
AI Policy Manager Responsibilities:
  • Develop policy recommendations for internal decision-making on novel AI governance questions
  • Drive cross-functional alignment on policy positions related to model behavior, AI agents, and national security topics
  • Lead strategic engagements with third parties, including industry associations and research centers, and support government engagement on AI governance and national security
  • Anticipate and shape response to emerging technical developments in AI models and their policy implications, providing insights and recommendations to internal teams
  • Develop and deliver policy strategies and materials for senior leadership
  • Represent Meta in external forums

Minimum Qualifications:
  • Bachelor’s degree in public policy, law, political science, or a related field
  • 8+ years of experience in public policy, with a focus on AI technology or other related technologies
  • Familiarity with AI concepts and the ability to translate emerging or novel technical capabilities into policy implications
  • Proven understanding of the AI policy landscape, including key debates around safety, governance, ethics, and accountability
  • Demonstrated experience owning a policy portfolio or domain end-to-end with track record of driving cross-functional alignment to advance policy goals
  • Proven ability to successfully convey complex policy issues to a wide range of audiences

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • JD or Master’s degree in a relevant field
  • Familiarity with federal, state, and international AI governance frameworks, including US executive actions, federal regulatory guidance, state AI laws, the EU AI Act, and other emerging frameworks
  • Proven experience working directly with AI research and product teams to translate technical capabilities into policy positions
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience interpreting and contextualizing AI model evaluations measuring maximum elicited capabilities, policy adherence, and safeguard performance

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$153,000/year to $224,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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