Review and analyze business datasets, protect PII, and improve data quality for next-generation AI systems. This remote contractor role pays $31-$60 per hour and requires under 20 hours weekly.
General Annotation
100% Remote Hourly · $31–$60/hr
$31–$60/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Sep 9, 2026
Posted
Open worldwide
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Remote contractor opportunity
Worldwide availability
Part-time schedule of less than 20 hours per week
Expected project duration of 1 to 3 months
Hourly pay of $31 to $60 USD
About AI Training and Data Review
AI training is the human side of building artificial intelligence. People review, organize, evaluate, and improve real-world data so AI models can learn from accurate, relevant, and responsibly handled examples.
In this role, your analysis of business data, document quality, and privacy risks will support the development of next-generation AI systems. It is an opportunity to contribute to cutting-edge technology through precise, detail-oriented work.
Help improve how AI systems learn from business data
Apply data analysis and quality assurance skills to real project work
Support responsible handling of personally identifiable information
The Data Analyst Role
OpenTrain AI is seeking Data Analysts to support a high-impact project focused on business data. You will review and analyze large-scale datasets, assess their accuracy and relevance, and help ensure that sensitive information is handled according to established privacy and security guidelines.
This contractor role is remote and part time. The listing identifies the opportunity as entry level, while the preferred qualifications call for demonstrated expertise with business datasets, PII, document review, data quality assurance, or audit-related work.
Role type: Contractor
Work arrangement: Remote
Data type: Text
Languages: Fluent English required
Expected availability: Less than 20 hours per week
Expected duration: 1 to 3 months
What You'll Do
You will conduct careful reviews of business data and documents, identify issues that could affect AI training quality, and communicate findings clearly to project stakeholders. The work requires consistent attention to accuracy, privacy, and data integrity.
Review and analyze extensive business datasets for accuracy, completeness, and relevance.
Conduct document review while following PII protocols and data privacy requirements.
Identify, flag, and resolve data quality issues, inconsistencies, and anomalies.
Provide detailed feedback and recommendations on data findings to inform AI training processes.
Help develop and refine quality assurance standards for data review assignments.
Communicate with project stakeholders through clear, professional written and verbal communication.
Follow established data privacy and security guidelines throughout project deliverables.
Required Skills and Qualifications
The role is suited to professionals who can analyze business information carefully, protect sensitive data, and deliver reliable quality-focused work in a distributed environment. Strong communication and judgment are important when documenting findings and handling privacy-related concerns.
Document review experience or capability
Expertise handling and analyzing large business datasets
Experience managing personally identifiable information and sensitive material
Strong understanding of data privacy regulations and best practices
Background in data quality assurance or audit projects
Exceptional written and verbal communication skills
Ability to explain complex findings clearly and concisely
High attention to detail and commitment to data accuracy and integrity
Experience working remotely and delivering consistent, reliable output
Business data privacy and quality assurance subject matter expertise
Fluent English proficiency
Who Should Apply
Apply if you are comfortable reviewing business documents and datasets, identifying anomalies, and working with personally identifiable information under strict privacy expectations. This opportunity may fit candidates seeking flexible, part-time work who can contribute dependable analysis and quality assurance in English.
The project requires less than 20 hours per week and is expected to last 1 to 3 months. Compensation ranges from $31 to $60 USD per hour.
Data Analysts with business data experience
Document review and quality assurance professionals
Audit or data integrity specialists
Candidates experienced with PII and privacy-sensitive material
Professionals seeking flexible remote AI training work
How to Apply
Create a free OpenTrain account and apply through OpenTrain AI. Review your profile and highlight relevant experience in business data analysis, document review, privacy, PII handling, and quality assurance.
Apply remotely through OpenTrain
Showcase your English proficiency and relevant experience
Confirm that you can commit less than 20 hours per week
Be prepared for a project expected to run 1 to 3 months
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