Remote Legal Research SME - AI QA & Memos

SuperAnnotate AI, Inc.; United States; A distancia; USD 125.000 - 178.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work

Hourly pay up to $110

Access to future expert projects

Descripción de la vacante

SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, seeks a Legal Research SME contractor. You will review AI-generated outputs, write high-quality research memos, and provide precise written feedback to improve legal reasoning and accuracy.

You will assess reasoning quality, ensure proper citations, and identify jurisdictional errors across US/state and federal contexts, contributing to superior training data for premier AI models.

Formación

• JD/LLB (or equivalent) with substantial primary-law research experience
• 5+ years of professional legal research experience
• Familiarity with legal research tools and citation formats (Bluebook or local standards)

Responsabilidades

• Develop AI Training Content: Create prompts and gold-standard legal research outputs (issue outlines, plans, memo templates)
• Optimize AI Performance: Evaluate and rank AI responses for accuracy, defensibility, citation support, clarity
• Ensure Model Integrity: Test outputs for errors, jurisdictional accuracy, and bias; validate reliability across legal scenarios

Conocimientos

Legal Writing

Citation checking

English

Jurisdictional Analysis

Statutory/Regulatory Interpretation

Legal Research

Primary Authority

Case Law Analysis

Issue Spotting

Research Memos

Educación

Juris Doctor or equivalent

Herramientas

Westlaw/Lexis

Descripción del empleo

SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, seeks a Legal Research SME contractor. You will review AI-generated outputs, write high-quality research memos, and provide precise written feedback to improve legal reasoning and accuracy.

You will assess reasoning quality, ensure proper citations, and identify jurisdictional errors across US/state and federal contexts, contributing to superior training data for premier AI models.