Privacy Annotation Specialist, Legal Document Review

About OpenTrain

OpenTrain is the centralized platform where people build careers in AI training and data labeling. We help freelancers discover work, consolidate proof-of-work, and grow a durable portfolio of annotation experience — all in one place.

OpenTrain AI is the hiring and contracting organization for this role. We connect people with specialized, remote AI training projects that pay competitively and support flexible schedules.

Why AI Training Matters

AI training (also called data labeling or annotation) is the human work that teaches modern models how to read, reason, and protect privacy. Contributors annotate documents, validate data, and audit outputs so AI systems behave reliably in high-stakes settings like legal and compliance workflows.

This work is remote-friendly, often part-time, and accessible: many projects value careful judgment and domain knowledge over formal degrees.

The Role

You will work as a remote, part-time contractor reviewing sensitive legal documents to identify PII and confidential content, validating OCR results, and performing quality assurance on document batches used in AI-driven legal workflows.

This role is entry level but expects practical experience in legal document review, eDiscovery, or similar legal operations. The position is contract, part-time (20+ hours/week), worldwide, and pays USD $105–$140 per hour.

• Employment type: Contractor, Part-time
• Time commitment: 20+ hours per week (flexible scheduling)
• Pay: Hourly, USD $105–$140/hr
• Data type: Documents (legal materials)
• Labeling tasks: entity/NER, classification, evaluation/rating

What You'll Do

Perform careful, documented reviews of legal documents to locate Personal Identifiable Information and other confidential content, and flag or annotate items according to project guidelines.

• Annotate documents for PII and confidentiality issues using supplied label schemas
• Validate OCR outputs to ensure textual accuracy and spot data integrity problems
• Conduct quality assurance checks and batch audits for consistency and completeness
• Support information governance, privacy, and compliance-focused labeling standards
• Communicate findings clearly to cross-functional teams and follow labeling guidelines

Requirements

Candidates must have practical experience working with legal documents, privacy standards, and QA processes. We require strong attention to detail and proven judgment when handling sensitive materials.

• Experience reviewing legal documents for PII and confidential information
• Background in contract review, eDiscovery, litigation support, or managed legal services
• Working knowledge of privacy regulations and information governance
• Ability to validate OCR outputs and identify data integrity issues
• Detail-oriented QA judgment when handling sensitive, high-stakes materials
• Language: English (fluent reading and comprehension)

Helpful Background

The following experience is useful but not strictly required; list it on your OpenTrain profile if applicable so hiring teams can evaluate fit.

• Paralegal, privacy analyst, information governance specialist, or similar legal operations roles
• Experience with digital forensics or legal technology tools
• Prior work in OCR validation, document QA, or eDiscovery platforms

How to Apply

Create or update your OpenTrain profile to reflect your legal review and privacy experience, then apply to this role. Include examples of document review, OCR validation, or relevant legal work in your profile or application notes.

OpenTrain AI hires contractors directly for this project. We will evaluate applicants based on relevant experience, attention to detail, and fit for handling sensitive legal materials.

• This role is open worldwide; you must be able to work in English
• Be prepared to demonstrate experience with PII review, OCR issues, or QA examples in your profile