Legal Fellow collaborates on AI projects by designing scenarios, evaluating model outputs for legal accuracy in areas like compliance and litigation, and contributing to research publications. Requires JD/LLM or law student status with expertise in legal research and analysis.
166k – 208k
RemoteLegal
About the role
What You'll Do
Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis.
Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition.
Who Should Apply
Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program.
Certifications: Bar admission in any jurisdiction strongly preferred.
Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor.
Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs.
Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.
Why Join the HFC?
Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
Competitive Pay: $80–$100/hr, depending on the projects.
Skills
Legal ResearchRegulatory FrameworksConstitutional LawCase Law InterpretationLegal BriefsContract AnalysisComplianceLitigationAi EvaluationGenerative AI
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