datamundi
Legal Subject Matter Expert-SME
New York, New York, United States · Contract
Sponsorship not specified$10k-$20kDetected 20 days ago
Machine LearningLLMsComplianceContract ManagementCorporate LawIntellectual PropertyResearchCommunication
About the role
- We are seeking an experienced Legal Subject Matter Expert (SME) with sharp analytical skills and a deep understanding of legal frameworks to join our AI training and model development team.
- The ideal candidate will bring broad expertise in the legal sector-including litigation, corporate law, regulatory compliance, contract management, and intellectual property-to help train, evaluate, and fine-tune AI models.
Responsibilities
- Knowledge Architecture: Develop knowledge bases, legal taxonomies, and ontologies that reflect multi-j[unclear] standards and complex legal hierarchies.
- Data Validation: Annotate, label, and validate datasets with specific legal Clauses
- Prompt Engineering & Strategy: Collaborate with AI/ML engineers to design training data strategies and prompt engineering techniques specifically tailored for legal reasoning and drafting.
- Business Alignment: Partner with product teams to align AI capabilities with legal objectives, such as reducing discovery timelines or automating risk assessment.
- Develop knowledge bases, legal taxonomies, and ontologies that reflect multi-j[unclear] standards and complex legal hierarchies.
- Collaborate with AI/ML engineers to design training data strategies and prompt engineering techniques specifically tailored for legal reasoning and drafting.
- Partner with product teams to align AI capabilities with legal objectives, such as reducing discovery timelines or automating risk assessment.
Requirements
- These datasets will train and test the model's ability to act as a competent and helpful Legal Associate or Counsel.
- 10-20 years of experience in the legal sector (e.g., private practice, in-house counsel, or legal research).
- Proven ability to translate complex legal processes into structured logic and data requirements.
- Exceptional writing and verbal skills, with the ability to bridge the gap between technical AI teams and legal stakeholders.
- Analytical Precision: Proven ability to translate complex legal processes into structured logic and data requirements.
- Communication: Exceptional writing and verbal skills, with the ability to bridge the gap between technical AI teams and legal stakeholders.
Nice to have
- Juris Doctor (JD) or Master of Laws (LLM) from an accredited law school.
- Active bar membership is a plus.
- Familiarity with legal tech stacks such as CLM (Contract Lifecycle Management), eDiscovery platforms, or legal research databases (Westlaw/LexisNexis).
- Familiarity with Generative AI concepts, prompt engineering, and data preparation is a plus.
- Awareness of ethical Generative AI practices, including bias detection and responsible data usage.
- Why this matters
- By shaping the data and benchmarks these models rely on, you'll help ensure that Generative AI is accurate, reliable, and aligned with the standards of your professional field.
- This is a unique opportunity to apply your domain knowledge at the cutting edge of technology.
Skills
- Hello Everyone,
- Please find the details below.
- Your goal is to ensure the highest levels of accuracy, jurisdictional relevance, and logical reasoning within the AI's output.
- The goal is to construct high-quality datasets that represent realistic, end-to-end legal workflows and professional skills.
Compensation
- $10k-$20k
Benefits
- Schedule Flexibility: Hours are flexible however are expected to be available during US hours
Company info
- We are pursuing a dataset that represents work beyond simple retrieval or isolated definitions
- We are pursuing a dataset that represents work beyond simple retrieval or isolated definitions; instead, it should demonstrate real-world use cases performed by mid and senior-career legal experts.
Apply directly at datamundi →Create a free account for alerts like thisView datamundi immigration profile
This listing is sourced directly from datamundi's careers page and normalized into a canonical job model.