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Remote Data Quality Reviewer Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... Implement data quality checks, validation rules, logging, error handling, and monitoring within ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... content review. * Track record of successful remote collaboration and participation in ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... content review. * Track record of successful remote collaboration and participation in ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... content review. * Track record of successful remote collaboration and participation in ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... content review. * Track record of successful remote collaboration and participation in ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... content review. * Track record of successful remote collaboration and participation in ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... content review. * Track record of successful remote collaboration and participation in ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... content review. * Track record of successful remote collaboration and participation in ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... content review. * Track record of successful remote collaboration and participation in ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... content review. * Track record of successful remote collaboration and participation in ...

Showing results 21-40

Remote Data Quality Reviewer information

What is a remote data quality reviewer?

A Remote Data Quality Reviewer is a professional who evaluates and ensures the accuracy, completeness, and reliability of data collected or processed by an organization, all while working from a remote location. Their duties often include checking data for errors, inconsistencies, or missing information, and recommending corrections or improvements. They may work with various types of data, such as customer records, survey responses, or financial information, depending on the industry. This role is crucial for maintaining high data standards and supporting decision-making processes within a company.

What are some common challenges faced by remote data quality reviewers, and how can they be addressed?

Remote Data Quality Reviewers often encounter challenges such as managing large data sets, maintaining focus during repetitive review tasks, and ensuring effective communication with distributed teams. Staying organized with clear workflow tools and setting regular check-ins with team members can help mitigate feelings of isolation and prevent errors. Additionally, leveraging automated validation tools and maintaining up-to-date documentation ensures consistency and accuracy in data review processes.

What are the key skills and qualifications needed to thrive as a remote data quality reviewer, and why are they important?

To thrive as a Remote Data Quality Reviewer, you generally need strong analytical abilities, attention to detail, and experience with data validation, often supported by a bachelor's degree in a relevant field such as statistics, computer science, or information management. Familiarity with data management tools, spreadsheet software (like Excel), and database systems, as well as knowledge of quality assurance frameworks, is typically required. Excellent written communication, critical thinking, and the ability to work independently are important soft skills for this remote position. These capabilities ensure accurate data assessment, help maintain data integrity, and contribute to reliable decision-making across organizations.
What job categories do people searching Remote Data Quality Reviewer jobs in Arizona look for? The top searched job categories for Remote Data Quality Reviewer jobs in Arizona are:
What cities in Arizona are hiring for Remote Data Quality Reviewer jobs? Cities in Arizona with the most Remote Data Quality Reviewer job openings:

Medical Microbiology Consultant - Remote

micro1 AI

Peoria, AZ • Remote

$70 - $90/hr

Part-time

Posted 9 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.