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Contractual Content Quality Analyst Jobs (NOW HIRING)

Design golden sets, taxonomies, and guidelines that enable consistent, repeatable content quality assessments * Build repeatable workflows for collecting, annotating, and analyzing AI outputs so ...

JOB SUMMARY The Legal Quality Analyst is responsible for managing the various aspects of the ... Must confidently speak with physicians and clients regarding the content of their peer reviews.

Design golden sets, taxonomies, and guidelines that enable consistent, repeatable content quality assessments * Build repeatable workflows for collecting, annotating, and analyzing AI outputs so ...

Design golden sets, taxonomies, and guidelines that enable consistent, repeatable content quality assessments * Build repeatable workflows for collecting, annotating, and analyzing AI outputs so ...

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Contractual Content Quality Analyst information

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How much do contractual content quality analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for contractual content quality analyst in the United States is $32.41, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $37.02 per hour, depending on experience, location, and employer.
What cities are hiring for Contractual Content Quality Analyst jobs? Cities with the most Contractual Content Quality Analyst job openings:
What are the most commonly searched types of Content Quality Analyst jobs? The most popular types of Content Quality Analyst jobs are:
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Content Automation Specialist

1 point system

Fruit Hill, SC • Remote

Contractor

Posted 26 days ago


Job description

Requirement - Content Automation Specialist

Location- 100% Remote

Contract W2

Ex- Microsoft

Must Haves:
Python
Testing Framework
Some AI knowledge
Job Description:
Overview
We are seeking a highly technical and strategic Content Automation Specialist to transform how content quality is validated across Microsoft 365 and Copilot experiences.
This role focuses on designing scalable evaluation systems, automated testing workflows, and AI-assisted quality frameworks that increase efficiency while maintaining human-centered quality standards. The ideal candidate understands where automation can replace manual review, where human evaluation remains critical, and how to build systems that continuously improve content quality at scale.
This individual will partner with cross-functional teams to define testing strategies, build evaluation frameworks, develop automation opportunities, and shape the future of content quality operations.
Responsibilities
Quality Systems Strategy
• Design scalable testing and evaluation frameworks for content, templates, prompt templates, and AI-generated experiences.
• Define quality measurement approaches and establish testing standards across content ecosystems.
• Create recommendations for balancing automation, AI evaluation, and human review.
Automation & Tooling
• Develop and implement automated testing workflows and validation systems.
• Build tools and processes that reduce manual effort while maintaining content quality.
• Identify opportunities to leverage AI for defect detection, content validation, and quality assurance.
Human Evaluation & AI Quality
• Design human-in-the-loop evaluation frameworks for assessing AI outputs.
• Establish quality rubrics, benchmarking criteria, and testing methodologies.
• Determine where human judgment adds measurable value and where automation can scale operations.
Data & Optimization
• Analyze testing metrics and operational data to identify improvement opportunities.
• Develop recommendations that improve quality, efficiency, and testing coverage.
• Measure the effectiveness of testing systems and continuously optimize workflows.
Cross-Functional Leadership
• Partner with cross-functional teams on automation recommendations and evaluations of quality risks.
• Drive adoption of testing standards and scalable evaluation practices.
• Influence long-term strategy for content quality and AI evaluation programs.
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, AI, or related field.
• 2-4 years of experience in test automation, quality engineering, AI evaluation, or systems development.
• Strong experience with Python and automation tooling.
• Experience with Copilot, VSCode, and other AI tooling and infrastructure.
• Experience building testing frameworks, quality systems, or workflow automation solutions.
• Experience interpreting data and translating findings into strategic recommendations.
• Strong technical problem-solving and systems-thinking skills.
Preferred Qualifications
• Experience evaluating generative AI systems or LLM-powered products.
• Experience designing human evaluation programs or human-in-the-loop workflows.
• Familiarity with content quality measurement and content operations.
• Experience working with machine learning, AI quality, or model evaluation frameworks.
• Understanding of Microsoft 365, Copilot, or productivity software ecosystems.
• Experience building internal tools, dashboards, or quality monitoring systems.