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Business Data Quality Analyst

Review business datasets and documents for accuracy, completeness, privacy, and consistency. This remote contract role pays USD $31 to $60 per hour and is open to candidates in listed countries.

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OpenTrain AI

General Annotation

Remote Hourly · $31–$60/hr

$31–$60/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Sep 9, 2026

Posted

Open in 52 countries

United States
+ more
  • Algeria
  • Argentina
  • Austria
  • Bahrain
  • Bangladesh
  • Belgium
  • Brazil
  • Canada
  • Chile
  • Colombia
  • Denmark
  • Egypt
  • France
  • Germany
  • Ghana
  • Greece
  • India
  • Indonesia
  • Italy
  • Japan
  • Jordan
  • Kazakhstan
  • Kenya
  • Kuwait
  • Kyrgyzstan
  • Lebanon
  • Malaysia
  • Mexico
  • Morocco
  • Netherlands
  • Nigeria
  • Oman
  • Pakistan
  • Palestine
  • Peru
  • Philippines
  • Portugal
  • Qatar
  • Saudi Arabia
  • Singapore
  • South Africa
  • Spain
  • Sri Lanka
  • Switzerland
  • Taiwan
  • Thailand
  • Tunisia
  • United Arab Emirates
  • United Kingdom
  • United States
  • Uzbekistan
  • Vietnam

The work

You will review business datasets and documents that support AI training. Your work will help identify information that is accurate, complete, relevant, consistent, and suitable for use.

You will also communicate findings clearly and help improve the standards used to review data quality assignments.

  • Review large business datasets for accuracy, completeness, and relevance.
  • Review documents while following personally identifiable information, or PII, privacy, and security protocols.
  • Find, flag, and resolve data quality issues, inconsistencies, and anomalies.
  • Provide detailed findings, feedback, and recommendations.
  • Help develop and refine quality assurance standards for data review work.
  • Explain findings clearly to project stakeholders in writing and conversation.
  • Maintain privacy and security compliance throughout project deliverables.

What it pays and takes

This is a remote contract, part-time role. It is listed as entry level, with work suited to people who can apply careful analysis and consistent quality standards to business information.

  • Pay: USD $31 to $60 per hour.
  • Work arrangement: Remote contract and part-time.
  • Language: Fluent in English.
  • Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
  • Experience handling and analyzing large business datasets.
  • Experience working with personally identifiable information and sensitive material.
  • Strong understanding of data privacy regulations and best practices.
  • Background in document review, data quality assurance, audit, or related analytical work.
  • Strong written and verbal communication skills.
  • High attention to detail and a commitment to data accuracy and integrity.
  • Ability to deliver consistent, reliable work remotely.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind artificial intelligence, including reviewing documents, rating information, and checking data used to improve AI systems. People with careful judgment or relevant professional knowledge help make that data more accurate, useful, and safe.

Requirements

  • Experience: Entry level
  • Languages: English

How to apply

  1. Apply here on OpenTrain. You create a free account, and we send you to the hiring platform.
  2. Complete your application on the hiring platform.

Ready to apply?

Create a free OpenTrain account and apply for this role in minutes.

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