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Ai Reviewer Jobs in Silver Spring, MD (NOW HIRING)

AI Technical Product Manager

Washington, DC

$189K - $218K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Guide AI solutions through Humana's multi-stage governance process-including AIRB, LRC, and Responsible AI reviews-by preparing technical documentation, scorecards, and market scans, and leading ...

AI Technical Product Manager

Washington, DC · On-site

$189K - $218K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Guide AI solutions through Humana's multi-stage governance process-including AIRB, LRC, and Responsible AI reviews-by preparing technical documentation, scorecards, and market scans, and leading ...

AI Technical Product Manager

Washington, DC · On-site

$189K - $218K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Guide AI solutions through Humana's multi-stage governance process-including AIRB, LRC, and Responsible AI reviews-by preparing technical documentation, scorecards, and market scans, and leading ...

Review the AI's formal translation of a statute and score it pass/fail against your rubric, checking that conditions, thresholds, AND/OR logic, and exceptions are captured accurately. * Write clear ...

Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance. * Develop, refine, and evaluate prompts related to financial analysis, valuation, and investment ...

In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required ...

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Ai Reviewer information

See Silver Spring, MD salary details

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How much do ai reviewer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ai reviewer in Silver Spring, MD is $30.89, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $37.79 per hour, depending on experience, location, and employer.

What are some common challenges faced by AI reviewers in their day-to-day work?

AI Reviewers often encounter the challenge of keeping up with rapidly evolving AI technologies and methodologies, which requires continual learning and adaptability. In addition, evaluating complex models and identifying subtle biases or errors can be time-consuming and require precision. Effective collaboration with developers, data scientists, and ethical review teams is essential to ensure that feedback is both actionable and aligned with project goals. Despite these challenges, the role offers continuous opportunities to grow your expertise and make a measurable impact on AI project quality.

What are the key skills and qualifications needed to thrive in the AI reviewer position, and why are they important?

To thrive as an AI Reviewer, you need a solid background in artificial intelligence concepts, data analysis, and critical evaluation, typically supported by a degree in computer science, data science, or a related field. Familiarity with AI tools, machine learning frameworks (such as TensorFlow or PyTorch), and experience with workflow or code review platforms are frequently expected. Attention to detail, strong communication skills, and the ability to provide constructive feedback are valuable soft skills in this role. These skills ensure accurate, fair, and actionable reviews that help improve AI model quality and maintain ethical standards.

What are the most commonly searched types of Ai Reviewer jobs in Silver Spring, MD?

The most popular types of Ai Reviewer jobs in Silver Spring, MD are:

What are popular job titles related to Ai Reviewer jobs in Silver Spring, MD?

For Ai Reviewer jobs in Silver Spring, MD, the most frequently searched job titles are:

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The top searched job categories for Ai Reviewer jobs in Silver Spring, MD are:

Infographic showing various Ai Reviewer job openings in Silver Spring, MD as of August 2026, with employment types broken down into 67% Full Time, 15% Part Time, and 18% Contract. Highlights an 54% In-person, 3% Hybrid, and 43% Remote job distribution, with an average salary of $64,259 per year, or $30.9 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Baltimore, MD • On-site, Remote

$90 - $120/hr

Part-time

Posted 22 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. 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. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.