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Remote Qc Data Reviewer Jobs (NOW HIRING)

Remote Role Responsibilities * Review, evaluate, and annotate AI outputs with extreme attention to ... Identify subtle errors, edge cases, and quality issues others might miss. * Provide clear ...

Data Quality Reviewer(CCM)

NY · Remote

$18 - $20/hr

POSITION SUMMARY: In this role, you will review patient data in accordance with established ... This remote position follows a location-based compensation structure. The posted salary range ...

Data Quality Reviewer(CCM)

NY · On-site +1

$18 - $20/hr

POSITION SUMMARY: In this role, you will review patient data in accordance with established ... This remote position follows a location-based compensation structure. The posted salary range ...

Welo Data is looking for a German Lyric Reviewer to help us train cutting-edge AI. This role is ... Approximately $17/hour for Learning Explicitness & Translation Quality * Location: Remote work ...

Senior QC Manager

$101K - $119.50K/yr

Experience working in data and technology with groups that connect with traditionally ... Creating performance reviews for VR canvassers as necessary * Manage process for identifying and ...

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Remote Qc Data Reviewer information

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$26

$43

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

As of Jun 1, 2026, the average hourly pay for remote qc data reviewer in the United States is $26.24, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $36.30 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote QC Data Reviewer, and why are they important?

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 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 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.

More about Remote Qc Data Reviewer jobs
What cities are hiring for Remote Qc Data Reviewer jobs? Cities with the most Remote Qc Data Reviewer job openings:
What are the most commonly searched types of Qc Data Reviewer jobs? The most popular types of Qc Data Reviewer jobs are:
What states have the most Remote Qc Data Reviewer jobs? States with the most job openings for Remote Qc Data Reviewer jobs include:
Infographic showing various Remote Qc Data Reviewer job openings in the United States as of May 2026, with employment types broken down into 68% Full Time, 13% Part Time, 2% Temporary, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $54,583 per year, or $26.2 per hour.

Human Data Reviewer - Fully Remote

Mercor

New York, NY • Remote

$50/hr

Full-time

Posted 11 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Generalist
Type: Contract
Compensation: $50/hour
Location: Remote

Role Responsibilities

  • Review, evaluate, and annotate AI outputs with extreme attention to detail.
  • Follow complex guidelines precisely and apply them consistently across tasks.
  • Identify subtle errors, edge cases, and quality issues others might miss.
  • Provide clear, structured feedback to improve downstream AI training quality.
  • Maintain high accuracy across repetitive, high-volume workflows.
  • Flag unclear instructions or ambiguous cases proactively.

Qualifications

Must-Have

  • Exceptionally detail-oriented and quality-obsessed mindset.
  • Prior experience as a CB / reviewer / rater in human data or AI training pipelines.
  • Proven ability to follow nuanced instructions without deviation.
  • Strong written communication and reasoning skills.
  • High reliability, consistency, and comfort with repetitive precision work.
  • Ability to work independently and maintain focus over long task batches.

Preferred

  • Experience with large-scale AI data annotation or evaluation programs.
  • Background in QA, operations, trust & safety, or structured review work.
  • Familiarity with multi-step rubric-based evaluations.
  • Comfort giving calibrated feedback aligned with strict quality bars.

Compensation & Legal

  • Hourly contractor
  • Paid weekly via Stripe Connect

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.