Remote Immigration Attorney for AI-Driven Legal Training

Zekai; United States; Remote; USD 96,000 - 207,000; Full time

Job summary

Zekai is seeking an Immigration Attorney (Contractor) in a 100% remote role. The candidate will train AI systems by applying deep U.S. immigration law expertise to real-world inputs, drafting and reviewing complex legal content, and providing actionable feedback to improve AI outputs.

Ideal candidates have active bar admission, BigLaw experience, and strong legal writing skills, with the ability to collaborate across multi-disciplinary teams on technology-driven projects.

Qualifications

• Active license to practice law with U.S. immigration expertise.
• BigLaw experience handling complex immigration matters.
• Advanced legal writing and analytical skills.
• Familiarity with case management and document review technologies.
• Meticulous attention to detail and strong evaluative abilities.
• Excellent written and verbal communication with collaborative approach.

Responsibilities

• Review immigration law documents and provide feedback for accuracy and compliance.
• Draft, edit, and evaluate memos, briefs, and case documentation to support AI model improvement.
• Conduct comprehensive legal research using industry-standard tools.
• Utilize case management software to simulate technology-enabled workflows.
• Deliver clear, actionable feedback to shape AI-generated legal outputs.
• Collaborate with cross-functional project teams to ensure integrity and applicability of legal data.
• Contribute BigLaw experience to enhance project deliverables.

Job description

Zekai is seeking an Immigration Attorney (Contractor) in a 100% remote role. The candidate will train AI systems by applying deep U.S. immigration law expertise to real-world inputs, drafting and reviewing complex legal content, and providing actionable feedback to improve AI outputs.

Ideal candidates have active bar admission, BigLaw experience, and strong legal writing skills, with the ability to collaborate across multi-disciplinary teams on technology-driven projects.