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Remote Qc Data Reviewer Jobs in California (NOW HIRING)

Review and recommend improvements to existing data quality control processes. * Create detailed, complete and well-structured test plans and test cases. * Investigate, document, trace, and diagnose ...

Manage multiple projects simultaneously, ensuring quality control throughout each project's life ... this remote position is $85,000 to $110,000 per year. Base pay offered may be higher or lower ...

... control data. * Interactions & Environment * External: Primarily customers technical and quality ... Remote-based role requiring some travel (10-20%) for customer engagement and F2F team reviews. We ...

... control data. * Interactions & Environment * External: Primarily customers technical and quality ... Remote-based role requiring some travel (10-20%) for customer engagement and F2F team reviews. We ...

... control data. * Interactions & Environment * External: Primarily customers technical and quality ... Remote-based role requiring some travel (10-20%) for customer engagement and F2F team reviews. We ...

Document Control Specialist

Irvine, CA · On-site +1

$23 - $25/hr

... reviews, change requests, training records, and quality system processes that keep product ... Remote or hybrid arrangements are not available. Employment Type: full-time

Showing results 21-40

Remote Qc Data Reviewer information

What is a remote QC data reviewer?

A Remote QC (Quality Control) Data Reviewer is a professional who evaluates and verifies the accuracy and integrity of data, often in industries like pharmaceuticals, clinical research, or manufacturing, while working from a remote location. Their main responsibility is to ensure that all data meets regulatory standards and company protocols before it is finalized or submitted. This role involves reviewing data for completeness, consistency, and compliance, often using specialized software and adhering to strict documentation requirements. Remote QC Data Reviewers collaborate with data entry professionals, scientists, or production teams to resolve discrepancies and maintain high data quality. Attention to detail, strong analytical skills, and familiarity with industry regulations are essential for this job.

What are the key skills and qualifications needed to thrive as a remote QC data reviewer?

To thrive as a Remote QC Data Reviewer, you need a solid background in data analysis, quality control principles, and relevant industry standards, often supported by a degree in life sciences or a related field. Familiarity with laboratory information management systems (LIMS), data review software, and regulatory compliance tools is typically required. Exceptional attention to detail, critical thinking, and effective communication are crucial soft skills for this position. These abilities ensure accurate data validation, regulatory adherence, and efficient collaboration in remote and team-based environments.

What are the most common challenges faced by remote QC data reviewers, and how can they be managed effectively?

Remote QC Data Reviewers often face challenges such as maintaining consistent communication with on-site teams, ensuring data integrity without direct access to physical records, and managing distractions in a home environment. To overcome these, it's important to establish clear communication channels, use secure and reliable data management systems, and develop a structured daily routine. Proactively seeking feedback and participating in regular virtual meetings can also help stay aligned with team objectives and uphold quality standards.

What is the difference between Remote Qc Data Reviewer vs Remote Data Analyst?

AspectRemote Qc Data ReviewerRemote Data Analyst
CredentialsTypically requires a degree in life sciences, healthcare, or related fields; certifications like CDISC or SAS are commonRequires a degree in statistics, mathematics, or related fields; certifications like CAP, SAS, or SQL are common
Work EnvironmentPrimarily reviews clinical trial data for quality and compliance in a remote settingAnalyzes data sets to identify trends and insights, often in a remote or office setting
Industry UsageCommon in clinical research, pharmaceutical, and healthcare industriesWidely used across healthcare, finance, marketing, and technology sectors

The Remote Qc Data Reviewer focuses on ensuring the accuracy and compliance of clinical data, while the Remote Data Analyst interprets data to support decision-making across various industries. Both roles require strong analytical skills and relevant certifications, but their primary functions and industry applications differ.

What are popular job titles related to Remote Qc Data Reviewer jobs in California?

For Remote Qc Data Reviewer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Qc Data Reviewer jobs in California look for?

The top searched job categories for Remote Qc Data Reviewer jobs in California are:

Infographic showing various Remote Qc Data Reviewer job openings in California as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution.

QA Engineer

Boss Tech

San Jose, CA • On-site, Remote

Full-time

Medical, PTO

Re-posted 16 days ago


Job description

BOSS Tech is the first and only Business Operating Smart Solution empowering entrepreneurs to embrace Web3 as it is intended: openly yet securely, distributed yet authenticated, and streamlined and automated for meaningful data-driven efficacy. Boss Tech was created by multi-exit technology entrepreneurs to enable their own startups and is the business operating system enabling AI, AR/VR, and Blockchain (Crypto) for Web3. Boss Tech disrupts current disparate, outdated systems, to leapfrog our client's competitors.
With decades of startup culture creation and leadership under our "boss belts," we know how to optimize resources to deliver for our clients and our Team! Boss Tech Team Members are just like the platform, one-of-a-kind artists delivering to their highest potential while co-creating the culture that speaks to their soul. Boss Tech delivers in both the United States and Costa Rica to blend the beauty of both cultures for a standout passionate, committed, and productive team.
BOSS Tech is scaling rapidly with no limit to its growth potential and ambitions to match your expertise.
Responsibilities
  • Advise, train, and operate as a technical subject matter expert and thought leader on data quality assurance best practices and test automation/data monitoring scripts for senior analysts and level data quality assurance engineers.
  • Coordinate and collaborate with data quality control analysts and engineers in testing and monitoring efforts for assigned project data quality control activities. Design and implement project monitoring and automation plans.
  • Estimate, prioritize, plan and coordinate testing activities.
  • Analyze and resolve issues related to data quality control in a timely manner.
  • Review assigned project deliverables and ensure they meet quality standards.
  • Review and recommend improvements to existing data quality control processes.
  • Create detailed, complete and well-structured test plans and test cases.
  • Investigate, document, trace, and diagnose errors discovered during testing.
  • Answer technical questions from team members.
  • Perform thorough regression testing when bugs are resolved.
  • Develop and apply test processes for new and existing products to meet customer needs.
  • Liaise with internal teams (for example, developers and product managers) to identify testing requirements.
  • Track quality control metrics, such as number of issues and test coverage, and report status updates to stakeholders.
  • Stay up to date with new testing tools and testing strategies.

Technical Requirements
  • Bachelor's degree in Computer Science, Engineering or a related subject (or equivalent experience).
  • Verifiable work experience in software development.
  • At least 3 years of experience in data analysis using open source tools and consulting big data sources.
  • Experience with PostreSQL and AWS.
  • Advanced knowledge of SQL.
  • 2-3 years of experience creating/testing data analysis tools.
  • Proactive in tasks related with tests implementation and covering functionalities.
  • Experience in best practices for testing, version control, and defect management.

Bonus Skills
  • Experience using some tools like Selenium, Sonarqube or GitLab QA to automate tests (other tools can be accepted)
  • Be familiar with the Agile development process and documentation related to this.
  • Experience testing mobile applications, using tools such as Jest, React Native Testing Library, Appium or Detox.

Benefits
  • Hybrid work opportunity
  • Flexible PTO
  • Career development
  • Private health insurance
  • Commuter assistance
  • Pura vida workspace vibes
  • Support CR - Micro-lending and CCC Support