Privacy Annotation Specialist — Legal Document Review

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people discover projects, build a unified portfolio, and grow durable freelance careers teaching AI — all from a single free account.

Why AI training and privacy annotation matter

AI systems learn from human-reviewed examples. Privacy annotation is the work that teaches models to recognize and protect personal information in documents, an essential step in building safe, compliant systems.

This role puts you on the front lines of that work: your annotations directly shape how models treat confidential and personally identifiable information (PII).

The role

OpenTrain is recruiting a Privacy Annotation Specialist to perform legal document review and privacy labeling for a client (OpenTrain). This is a remote, contractor, part-time role requiring 20+ hours per week.

No prior AI experience is required; the role demands strong domain knowledge in contract review, eDiscovery, compliance, or information governance and the ability to handle sensitive material under privacy regulations.

• Employment type: Contractor, Part-time.
• Time commitment: 20+ hours/week.
• Work location: Remote (worldwide applicants accepted) — English required.

What you'll do

You will annotate and validate legal documents to support AI training and legal-technology workflows. Tasks focus on identifying personal identifiable information, verifying OCR outputs, and ensuring accurate labels for downstream models.

• Review and annotate sensitive legal documents for PII and confidential content.
• Validate OCR outputs and confirm data integrity in legal investigation workflows.
• Perform quality assurance checks and audits on document batches.
• Collaborate with compliance and legal technology teams to clarify requirements.
• Communicate findings and recommendations clearly to cross-functional partners.

Required skills and experience

Candidates must bring practical experience in legal document review, eDiscovery, contract review, compliance, or related litigation support roles. Accuracy and attention to detail are essential when working with sensitive information.

• Experience in contract review, quality assurance, eDiscovery, or compliance.
• Understanding of personal identifiable information and data privacy regulations.
• Experience in legal document review, litigation support, or managed legal services.
• Detail-oriented and analytical, able to work accurately under pressure.
• Practical background in privacy annotation or similar document review work.

Helpful background

Prior experience with legal-technology vendors and teams is a plus and will help you ramp faster. Typical successful applicants come from paralegal, eDiscovery specialist, privacy analyst, information governance, or compliance manager backgrounds.

• Experience at firms like Consilio, Epiq, Relativity, KLDiscovery, or TransPerfect is advantageous.
• Roles such as Paralegal, eDiscovery Specialist, Privacy Analyst, Information Governance Specialist, or Legal Document Review Lead are a strong fit.

Labeling details, tools, and pay

You will work with document data (DOCUMENT) and perform entity labeling and evaluation/rating tasks (ENTITY_NER_CLASSIFICATION and EVALUATION_RATING) using a proprietary or other labeling tool. The project emphasizes data protection and strict handling of confidential information.

Compensation is hourly: USD $105–$140 per hour (rate offers may vary by experience and exact assignment).

• Data type: Documents.
• Label types: Entity (NER/classification) and evaluation/rating.
• / proprietary tool.
• Pay: USD 105–140 per hour.

Who should apply and how it works

Apply if you have legal/privacy review experience and want flexible, cutting-edge contract work that directly influences AI behavior. OpenTrain helps you manage applications and build a profile to find more AI training projects over time.

To apply, create or sign in to your OpenTrain account, complete your profile, and submit your application for this Privacy Annotation Specialist role.

• Language: English required.
• Worldwide applicants accepted.
• This is contract work; expectations, onboarding, and exact schedules will be set during hiring.