Paralegal (General)

Frontier AI Lab; United States; Remote; USD 34,000 - 55,000; Part time

Job summary

Remotebridge is seeking Paralegal (General) contractors for a remote role focused on legal data annotation to train AI systems. US-based paralegals with strong research, document review, pleadings, and eDiscovery (Relativity) experience are encouraged to apply.

The position emphasizes precise legal analysis and high-quality data annotation delivered remotely. Experience in handling large datasets, case files, and detailed documentation is valued, with collaboration across project teams to meet

Qualifications

• Substantial experience as a paralegal within a US-based law firm or legal service provider.
• Demonstrated proficiency with legal research, document review, and drafting pleadings and filings.
• Hands-on familiarity with eDiscovery tools, particularly Relativity.

Responsibilities

• Conduct comprehensive legal research and analysis on a variety of legal topics and case materials.
• Review, annotate, and summarize legal documents, case files, pleadings, and filings for data training purposes.
• Leverage eDiscovery platforms, including Relativity, to identify, categorize, and extract relevant information from large data sets.
• Prepare detailed legal annotations and structured datasets to support machine learning initiatives.
• Assess and verify the accuracy, completeness, and quality of legal data entries and annotations.
• Collaborate remotely with project coordinators to meet deliverable standards and project milestones.
• Provide insight into legal processes, terminology, and procedural nuances to enhance AI system understanding.

Skills

Legal research

Document review

Pleading drafting

Communication skills

Data annotation

Tools

Relativity

Job description

Role Title: Paralegal (General)

Role Type: Contractor

Location: Remote

Our team is engaging Paralegal (General)s to contribute to a customer’s project focused on legal data annotation. In this role, you’ll apply your expertise to help train next‑generation AI systems. Your work will shape how models learn, reason, and perform through high‑quality, real‑world input. No prior experience in AI is required — your domain knowledge is what matters. Experienced US‑based law firm paralegals are encouraged to participate, especially those adept in research, document review, case file management, drafting pleadings and filings, and eDiscovery tools such as Relativity. Strong written and verbal communication skills are essential, as precise legal analysis and clear documentation are critical to this engagement.

Scope of Work

• Conduct comprehensive legal research and analysis on a variety of legal topics and case materials.
• Review, annotate, and summarize legal documents, case files, pleadings, and filings for data training purposes.
• Leverage eDiscovery platforms, including Relativity, to identify, categorize, and extract relevant information from large data sets.
• Prepare detailed legal annotations and structured datasets to support machine learning initiatives.
• Assess and verify the accuracy, completeness, and quality of legal data entries and annotations.
• Collaborate remotely with project coordinators to meet deliverable standards and project milestones.
• Provide insight into legal processes, terminology, and procedural nuances to enhance AI system understanding.

Preferred Qualifications

• Substantial experience as a paralegal within a US‑based law firm or legal service provider.
• Demonstrated proficiency with legal research, document review, and drafting pleadings and filings.
• Hands‑on familiarity with eDiscovery tools, particularly Relativity.
• Exceptional written and verbal communication abilities for precise documentation and feedback.
• Strong organizational skills for management of large volumes of complex legal data.
• Attention to detail, accuracy, and reliability in handling sensitive legal information.
• Interest in or curiosity about the intersection of law and technology; prior AI or data annotation experience is a plus, but not required.