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Virtual Ai Rater Jobs in Silver Spring, MD (NOW HIRING)

Meta

Energy Analyst, New Transactions

Washington, DC · On-site +1

$132K/yr

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

Eliassen Group

DevOps Software Engineer

Gaithersburg, MD · Remote

$45 - $50/hr

... 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 ...

Apex Systems

Developer-Full Stack Senior

Mclean, VA · On-site

$65 - $82.26/hr

Role: Senior Full Stack Developer (AI / Data Modernization Focus) Supporting: Large Financial ... The pay rate for this position is between $65.00 and $82.26 per hour. Please note that the final ...

CareMetx

Director, End User Services

Bethesda, MD · On-site

... an AI-first lens, deploying intelligent ticket triage, virtual agent capabilities, and automated resolution workflows to drive faster response times, higher first-contact resolution rates, and ...

Dick's Sporting Goods

Teammate- Apparel

Fairfax, VA · On-site

$12.50 - $19.50/hr

Cameras must be on during all virtual interviews. * AI tools are not permitted to be used by the ... Starting rate of pay may vary based on factors including, but not limited to, location, experience ...

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How much do virtual ai rater jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for virtual ai rater in Silver Spring, MD is $25.22, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $28.32 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 is a Virtual AI Rater?

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 Silver Spring, MD? The most popular types of Ai Rater jobs in Silver Spring, MD are:
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Virtual Ai Rater jobs near you
Infographic showing various Virtual Ai Rater job openings in Silver Spring, MD as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $52,463 per year, or $25.2 per hour.

Energy Analyst, New Transactions

Meta

Washington, DC • On-site, Remote

$132K/yr

Full-time

Re-posted 13 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 243 rated software companies

Job description

Meta designs, builds, and operates some of the most innovative and energy-intensive data centers in the world. As global demand for compute capacity grows, so does the complexity of securing reliable, cost-effective, and sustainable energy supply. Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy team, which is responsible for commercial energy strategy, rate analysis, and load forecasting across Meta's rapidly expanding data center portfolio. In this role, you will provide analytical expertise that directly informs site selection, energy procurement decisions, and long-term capacity planning.
Energy Analyst, New Transactions Responsibilities:
  • Analyze electric utility rate structures, tariffs, and interconnection requirements for prospective and existing data center sites to support site selection and energy procurement decisions
  • Develop and maintain financial models to forecast energy consumption, evaluate rate scenarios, and quantify cost impacts across Meta's global data center portfolio
  • Conduct comprehensive load profile analysis and capacity planning studies to support infrastructure growth and energy agreement negotiations
  • Partner with Clean and Renewable Energy Managers to assess the financial and operational impact of renewable energy projects and power purchase agreements
  • Collaborate with Finance and Accounting teams to support deal evaluations, capital planning, and budget forecasting for energy expenditures
  • Engage with Infrastructure and Capacity Engineering stakeholders to incorporate data center design trends and hardware roadmaps into load forecasting methodologies
  • Build scalable analytical tools and dashboards to automate recurring energy reporting and streamline rate impact analysis
  • Synthesize wholesale energy market data, utility tariff filings, and regulatory developments into actionable insights for commercial energy strategy
  • Communicate complex energy concepts, tariff structures, and analytical findings clearly to cross-functional stakeholders including legal, real estate, and executive audiences
  • Identify opportunities to improve analytical frameworks and data pipelines in partnership with data engineering and data science teams

Minimum Qualifications:
  • Bachelor's degree in a relevant technical field, finance, or business discipline, or equivalent practical experience
  • 5+ years of relevant work experience in the energy industry, with a focus on analyzing rates and tariffs, market information, and load profiles to drive business decisions. This experience should preferably be with electric utilities, large energy consumers, energy service providers, or consultancies
  • Experience in analyzing electric utility tariffs, wholesale energy market data, load profiles, and renewable energy supply structures to support business decisions
  • Experience applying quantitative and financial modeling methodologies to evaluate energy market risks, rate scenarios, and cost optimization opportunities
  • Experience collaborating cross-functionally with Finance, Engineering, or Operations teams to translate analytical outputs into strategic recommendations
  • Experience building and maintaining scalable models or analytical tools to support energy forecasting and reporting workflows

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience working with electric utilities, independent power producers, energy service companies, or large-scale data center operators
  • Experience coding in Python, SQL, or similar languages to automate data processing and build analytical pipelines
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Proficiency with data visualization tools such as Tableau or equivalent platforms to communicate energy analytics to diverse audiences
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Familiarity with renewable energy procurement structures including power purchase agreements, renewable energy certificates, and virtual power purchase agreements

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.
$132,000/year to $188,000/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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