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Remote Data Quality Reviewer Jobs in Jackson, MS

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... authoring and reviewing complex safety reports, passionate about data quality, and committed to ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... authoring and reviewing complex safety reports, passionate about data quality, and committed to ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Utilize rubrics and established evaluation criteria to assess data quality and support AI training ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... data aligns with industry standards. * Develop and review problem sets, case studies, or scenarios ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Remote Data Quality Reviewer information

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How much do remote data quality reviewer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote data quality reviewer in Jackson, MS is $22.87, according to ZipRecruiter salary data. Most workers in this role earn between $12.55 and $31.63 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Remote Data Quality Reviewer jobs in Jackson, MS?

For Remote Data Quality Reviewer jobs in Jackson, MS, the most frequently searched job titles are:

What job categories do people searching Remote Data Quality Reviewer jobs in Jackson, MS look for?

The top searched job categories for Remote Data Quality Reviewer jobs in Jackson, MS are:

Infographic showing various Remote Data Quality Reviewer job openings in Jackson, MS as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $47,565 per year, or $22.9 per hour.

QA - Quality Assurance Analyst

Resource Consultings Services Inc.

Jackson, MS • Remote

Contractor

Re-posted 17 days ago


Job description

Role: QA - Quality Assurance Analyst – SME Level

Location: Jackson, MS 39211 – Remote

Duration: 3 years with possible extension

 

Visa: Any

Prior state experience is highly desired 

5-6 Page resume only  

Bachelor’s Degree

Must Have:

Database Entity Design

Samples of previous documents created strongly preferred.

PL/SQL

Data Factory/Synapse

SQL Server

DevOps

Oracle

Stored Procedures

Visio

Software Development Life Cycle

Scrum / Agile

C#

Job Description:

This position will require a qualified Quality Assurance Analyst to take the lead on the following

tasks:

• Review and validate the output of SQL and ETL development to ensure data

accuracy, consistency, and alignment with business rules.

• Develop and execute detailed data test plans, test cases, and validation scripts

targeting Azure Synapse pipelines, stored procedures, and data

transformations.

• Reconcile data between source systems, staging areas, and curated data layers

in Azure Data Lake or Synapse.

• Conduct regression testing on modified pipelines, stored procedures, or data

models to confirm that changes do not introduce new issues.

• Collaborate with data engineers, ETL developers, and business analysts to

document and resolve data discrepancies.

• Maintain data QA documentation including test results, issue logs, and

validation procedures.

• Support the development of automated data quality checks or unit tests using

SQL, Python, or other approved tools.

• Contribute to continuous improvement of QA processes, data validation

frameworks, and DevOps testing integration.