Business Data Quality Analyst

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. It helps people discover projects, build a professional profile, and apply for opportunities in a fast-growing industry where human judgment shapes how artificial intelligence works.

Creating an OpenTrain account is free, and contributors can use their profile to demonstrate relevant experience and grow a durable AI training portfolio.

• Worldwide remote contractor opportunity
• Part-time schedule with 20+ hours per week
• English-language work
• Pay range of $31-$60 per hour

About AI Training and Data Quality Work

AI systems learn from examples that people prepare, review, and evaluate. Business data quality professionals help make those examples accurate, complete, relevant, consistent, and safe to use.

This work combines analytical judgment, document review, privacy-aware data handling, and quality assurance. Your findings can help improve the information used to train and evaluate modern AI systems.

• Contribute to the human side of building artificial intelligence
• Apply analytical and quality assurance judgment to AI training data
• Work remotely with flexible part-time potential

The Role

OpenTrain is recruiting a Business Data Quality Analyst to review and analyze business datasets and documents that support AI training. You will assess data accuracy, completeness, relevance, and privacy compliance while identifying anomalies and inconsistencies.

The role is suitable for professionals with experience in business data analysis, document review, data quality assurance, audit, privacy-focused review, or related analytical work. It is listed at the entry level and requires the ability to deliver consistent, reliable work remotely.

• Role: Business Data Quality Analyst
• Work type: Part-time contractor
• Time requirement: 20+ hours per week
• Pay: $31-$60 per hour
• Location: Worldwide
• Primary language: English

What You'll Do

You will examine extensive business datasets and documents, apply defined quality standards, and communicate your conclusions clearly. The work requires careful handling of personally identifiable information and sensitive material throughout the review process.

• Review business datasets for accuracy, completeness, and relevance
• Conduct document review while following PII, data privacy, and security protocols
• Identify, flag, and resolve data quality issues, inconsistencies, and anomalies
• Deliver detailed feedback and recommendations based on your findings
• Help develop and refine quality assurance standards for data review assignments
• Communicate findings clearly with project stakeholders in written and verbal formats
• Maintain privacy and security compliance throughout project deliverables

Required Skills and Experience

Successful contributors will bring strong analytical judgment, careful attention to detail, and practical experience working with business information. You should be comfortable reviewing sensitive material, applying privacy and security practices, and explaining complex findings concisely.

• Demonstrated experience handling and analyzing large business datasets
• Experience assessing data for accuracy, completeness, and relevance
• Practical experience handling personally identifiable information and sensitive material
• Strong understanding of data privacy regulations and best practices
• Knowledge of security practices and compliant document review
• Background in document review, data quality assurance, data validation, audit, or related analytical work
• Experience identifying anomalies and inconsistencies
• Exceptional written and verbal communication skills
• High attention to detail and commitment to data accuracy and integrity
• Ability to deliver consistent, reliable work remotely

Relevant Background

Experience with PII-related data handling, privacy-focused document review, data validation, anomaly identification, or audit deliverables is especially relevant. Professionals who can apply rigorous quality standards to business information and communicate findings clearly will be well positioned for this work.

• Privacy-focused document review
• Data validation and quality assurance
• Anomaly identification
• Audit deliverables
• Clear explanation of complex data findings

How to Apply Through OpenTrain

Create a free OpenTrain account, build a profile that highlights your data quality, privacy, document review, or audit experience, and apply in minutes. OpenTrain helps contributors find relevant AI training opportunities and build a portfolio around the work they do.

• Create a free OpenTrain account
• Highlight relevant analytical and privacy experience in your profile
• Apply for this remote contractor opportunity
• Build a longer-term portfolio in AI training and data labeling