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How much do ai rating jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for ai rating in the United States is $27.65, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $33.65 per hour, depending on experience, location, and employer.

What is an AI rater?

An AI Rating job involves evaluating artificial intelligence systems, models, or algorithms based on specific criteria such as accuracy, fairness, and performance. Professionals in this role assess AI-generated content, provide feedback, and help improve machine learning models. They may work on tasks like rating search engine results, analyzing chatbots, or reviewing AI-generated text and images. This role is critical in training AI systems to be more reliable and user-friendly.

What does an AI rater do?

As an AI Rater, your primary responsibility is to evaluate search results, advertisements, or other AI-generated content for relevance, accuracy, and quality according to provided guidelines. You may spend your workdays reviewing data sets, rating outputs, and providing feedback to help optimize machine learning algorithms. The role often involves independent, remote work while following clear evaluation standards and meeting productivity goals. Consistent attention to detail and impartiality are crucial to ensure your assessments help enhance the overall AI system performance.

What skills and qualifications are needed to thrive as an AI rater?

To excel as an AI Rater, you need strong analytical skills, attention to detail, and familiarity with computer-based evaluation, often supported by a relevant educational background or work experience in data annotation or quality assessment. Experience using web-based evaluation platforms, and sometimes basic knowledge of machine learning frameworks, is valuable. Critical thinking, adaptability, and clear written communication are important soft skills for providing precise and actionable feedback. These abilities ensure that AI systems are accurately assessed and improved, directly impacting the quality and effectiveness of AI-driven products.

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Infographic showing various Ai Rating job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $57,520 per year, or $27.7 per hour.

Senior Physics Domain Specialist - AI Rater

micro1 AI

Chandler, AZ • 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.