Legal Subject Matter Expert-SME

Hello Everyone, Greetings from the Datamundi team!! We are looking for Legal Subject Matter Experts. Please find the details below. Role Overview 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. Your goal is to ensure the highest levels of accuracy, jurisdictional relevance, and logical reasoning within the AI's output. You will work with cross-functional teams of data scientists, AI engineers, and product teams to build intelligent legal solutions such as automated contract review tools, legal research assistants, and compliance monitoring engines. Project Goal & Scope: The goal is to construct high-quality datasets that represent realistic, end-to-end legal workflows and professional skills. These datasets will train and test the model's ability to act as a competent and helpful Legal Associate or Counsel. 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. Key Responsibilities Domain Oversight: Serve as the primary legal authority during the training and fine-tuning of AI models, ensuring all outputs adhere to legal standards and correct terminology. 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 (Continued from next photo) Prompt Engineering & Strategy: Collaborate with AI/ML engineers to design training data strategies and prompt engineering techniques specifically tailored for legal reasoning and drafting. Model Audit: Provide expert feedback on model outputs, identifying "hallucinations," legal inaccuracies, or ambiguities to improve the model's reliability in high-stakes environments. Business Alignment: Partner with product teams to align AI capabilities with legal objectives, such as reducing discovery timelines or automating risk assessment. Regulatory Watch: Stay current with emerging trends in LegalTech and AI-related regulations to ensure ethical and compliant model implementation. Project details Duration: Tasks for this project are expected to be available for 3 months (with potential extensions). Location: Remote (You must be based in the United States) Type: Freelance/Independent contractor. Payout structure: Schedule Flexibility: Hours are flexible however are expected to be available during US hours Required Qualifications Education: Juris Doctor (JD) or Master of Laws (LLM) from an accredited law school. Active bar membership is a plus. Experience: 10–20 years of experience in the legal sector (e.g., private practice, in-house counsel, or legal research). 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. Systems Knowledge: Familiarity with legal tech stacks such as CLM (Contract Lifecycle Management), eDiscovery platforms, or legal research databases (Westlaw/LexisNexis). AI Familiarity 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. Job Description – Education Subject Matter Expert (SME) Role Overview We are seeking an experienced Education Subject Matter Expert (SME) with sharp analytical skills and a deep understanding of pedagogical frameworks, curriculum development (e.g., K-12 standards, higher education), learning science, and assessment design to join our AI training and model development team. The ideal candidate will bring broad expertise across multiple educational domains—from K-12 content creation and assessment to advanced academic research and curriculum design—to help train, evaluate, and fine-tune AI models. Your goal is to ensure the highest levels of pedagogical accuracy, grade-level appropriateness, content alignment with established curricula, and effective knowledge transfer within the AI's output. You will work with cross-functional teams of data scientists, AI engineers, and product teams to build intelligent educational solutions such as automated lesson plan generators, dynamic study guides, quiz/exam creation tools, and academic research assistants. Project Goal & Scope: The goal is to construct high-quality datasets that represent realistic, end-to-end educational workflows and professional skills. These datasets will train and test the model's ability to act as a competent and helpful Educator, Curriculum Designer, or Academic Researcher. We are pursuing a dataset that represents work beyond simple content retrieval; instead, it should demonstrate real-world use cases performed by mid and senior-career education experts, such as generating lesson plans, designing high-stakes assessments, and synthesizing complex academic content for various target audiences (from high school students to academic peers). Key Responsibilities Domain Oversight: Serve as the primary educational authority during the training and fine-tuning of AI models, ensuring all outputs adhere to pedagogical standards, grade-level appropriate complexity (Lexile/Grade Level Fit), and correct educational terminology. Knowledge Architecture: Develop knowledge bases, academic taxonomies, and ontologies that reflect multi-disciplinary standards and complex curricular hierarchies. Data Validation: Annotate, label, and validate datasets with specific educational knowledge (e.g., curriculum mapping standards, clear learning objectives, and appropriate complexity for target audiences). Prompt Engineering & Strategy: Collaborate with AI/ML engineers to design training data strategies and prompt engineering techniques specifically tailored for educational reasoning and content creation, including generating explainer texts, designing assessment rubrics, and originating lesson plans or academic papers. Model Audit: Provide expert feedback on model outputs, identifying "hallucinations," factual inaccuracies, or pedagogical flaws to improve the model's reliability in instructional and assessment environments. Business Alignment: Partner with product teams to align AI capabilities with educational objectives, such as automating curriculum alignment or supporting personalized learning. Professional Watch: Stay current with emerging trends in Educational Technology (EdTech) and learning science research to ensure ethical and effective model implementation. Project Details:  Duration: Tasks for this project are expected to be available for 3 months (with potential extensions).  Location: Remote (You must be based in the United States).  Type: Freelance/Independent contractor.  Payout structure:  Schedule Flexibility: Hours are flexible however are expected to be available during the regular business hours for the collaboration discussions with researchers and project managers. Tasks can be worked on Mon-Fri. Required Qualifications Education: Advanced degree (Master's or PhD) in Education, a specific academic discipline, Curriculum & Instruction, or a related field. Teaching certification or equivalent experience is a plus. Experience: 10–20 years of experience in the education sector (e.g., teaching, curriculum design, academic research, or educational content development). Analytical Precision: Proven ability to translate complex educational standards and learning objectives into structured logic and data requirements. Communication: Exceptional writing and verbal skills, with the ability to bridge the gap between technical AI teams and pedagogical/academic stakeholders. Systems Knowledge: Familiarity with EdTech stacks such as LMS (Learning Management Systems), digital assessment platforms, or academic research databases (e.g., JSTOR, EBSCO). AI Familiarity Familiarity with Generative AI concepts, prompt engineering, and data preparation is a plus. Legal Reviewer & Quality Consultant Role Overview We are looking for a Senior Legal Consultant with extensive practice experience to oversee the quality and accuracy of legal datasets used for AI training. This is a high-level advisory and quality control role. You will be the final authority on whether the AI's legal reasoning meets the rigorous standards of the profession. Instead of just checking facts, you will perform Senior-Level Quality Audits to identify where instructions may be legally ambiguous and ensure that the work produced by other contributors is professional, jurisdictionally accurate, and practically sound. Key Responsibilities Quality Oversight: Review and refine the guidelines used to train the AI, ensuring they align with standard legal practices and terminology. Expert Review: Audit complex legal outputs to identify errors in logic, jurisdictional nuance, or statutory interpretation. Root-Cause Analysis: When inconsistencies arise in the data, determine if the issue is a flawed instruction, a misunderstood prompt, or a gap in the evaluation criteria. Professional Alignment: Ensure the AI's work product reflects the standards expected of a Senior or Lead Counsel in a professional setting. Required Qualifications Education: Juris Doctor (JD) or Master of Laws (LLM). Bar Admission (current or former) in good standing is required. Experience: 20+ years of legal experience. We are seeking individuals who have served as Senior In-House Counsel, Lead Litigators, or similar senior leadership roles within the legal field. Communication: Ability to explain complex legal nuances to non-legal technical teams in a clear, practical manner. Technical Proficiency and Professional Standards: Senior Legal SME Generative AI Awareness: A practical understanding of how AI tools are used for legal research, contract drafting, and case summaries. Ethical Oversight: Knowledge of the ethical considerations regarding AI in legal practice, specifically around data privacy, client confidentiality, and professional conduct. Technical Translation: The ability to convert complex legal nuances and jurisdictional rules into clear, structured guidelines for technical teams. Legal Tech Experience: Familiarity with professional systems such as eDiscovery platforms, Contract Lifecycle Management (CLM) software, or advanced legal research databases like Westlaw and LexisNexis. Strategic Significance In this role, you will apply your decades of experience to ensure that Generative AI tools are built on a foundation of professional excellence. Your expertise will be the final benchmark for quality, ensuring that these models provide accurate, reliable, and pedagogically sound assistance to users worldwide. Educational Quality & Curriculum Lead Role Overview We are seeking a Senior Educational Quality Lead to oversee the pedagogical integrity of our AI training projects. This role is intended for veteran instructional leaders (e.g. Curriculum Directors, Department Heads, or Senior Instructional Designers) who understand the depth and nuance of effective teaching. You will serve as a Senior Quality Auditor, ensuring that the AI's instructional content isn't just "correct," but is pedagogically sound, grade-appropriate, and aligned with established educational standards. Key Responsibilities Instructional Standards Oversight: Review and improve the guidelines that govern how the AI explains concepts, designs lesson plans, and creates assessments. Quality Auditing: Perform detailed reviews of educational content to ensure it meets professional standards for scaffolding, cognitive demand, and clarity. Content Alignment: Ensure all materials are appropriately calibrated for the target audience's developmental level (e.g., ensuring a 5th-grade science lesson doesn't use graduate-level vocabulary). Expert Mentorship: Act as the final point of escalation for complex questions regarding curriculum mapping or assessment design. Required Qualifications Education: Ed.D., Ph.D., or Master's degree in Education, Curriculum & Instruction, or a specialized academic discipline. Experience: 20+ years in the education sector. We are looking for candidates with experience in District Leadership, University Faculty roles, or Senior Curriculum Design. Analytical Skills: A deep understanding of how to map learning objectives to effective assessments and instructional strategies. Technical Proficiency and Professional Standards: Senior Education Quality SME Generative AI in Education: A practical understanding of how AI can be applied to develop lesson plans, create student assessments, and summarize academic research.