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

OWASP AI Testing Guide, NIST AI Risk Management Framework (RMF) Location: Remote, with occasional ... Rate: $50-80/hr. 1099 or Corp. To Corp.). This range represents a good-faith estimate and is not a ...

OWASP AI Testing Guide Location: Remote, with occasional travel to customer sites or TestPros labs ... Rate: $50-80/hr. 1099 or Corp. To Corp.). This range represents a good-faith estimate and is not a ...

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C ... rates, retrieval quality, recommendation quality, and user satisfaction * Validate Retrieval ...

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C ... rates, retrieval quality, recommendation quality, and user satisfaction * Validate Retrieval ...

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

AI QA Analyst Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C ... rates, retrieval quality, recommendation quality, and user satisfaction * Validate Retrieval ...

AI Engineer

Washington, DC · On-site +1

$141K - $236K/yr

  • Medical

  • Life

  • Retirement

  • PTO

There are differentiating factors that can impact a final salary/hourly rate, including, but not ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

AI Assurance Engineer

Washington, DC · Remote

$141K - $236K/yr

  • Medical

  • Life

  • Retirement

  • PTO

There are differentiating factors that can impact a final salary/hourly rate, including, but not ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

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Remote Ai Rater information

See Washington, DC salary details

$73.1K

$93.4K

$111K

How much do remote ai rater jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote ai rater in Washington, DC is $93,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $103,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Rater vs Remote Content Evaluator?

AspectRemote Ai RaterRemote Content Evaluator
Required CredentialsBasic education, sometimes a degree in related fieldsBasic education, often similar credentials
Work EnvironmentRemote, flexible hours, online platformsRemote, flexible hours, online platforms
Employer & Industry UsageTech companies, AI development firmsMedia companies, content platforms
Common Search & ComparisonYesYes

The main difference between Remote Ai Rater and Remote Content Evaluator lies in their focus. Remote Ai Raters primarily assess AI-generated content to improve machine learning models, while Remote Content Evaluators review and moderate online content for quality and compliance. Both roles are remote, require similar credentials, and are used across tech and media industries. Understanding these distinctions helps job seekers identify the role that best matches their skills and career goals.

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:

What job categories do people searching Remote Ai Rater jobs in Washington, DC look for?

The top searched job categories for Remote Ai Rater jobs in Washington, DC are:

Senior Physics Domain Specialist - AI Rater

micro1 AI

Alexandria, VA • Remote

$80 - $160/hr

Part-time

Posted 17 days ago


Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.