Artificial Intelligence Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Analyst on a contract-to-hire basis, requiring in-office work three days a week. Candidates should have a Bachelor's degree, 2+ years of AI experience, and proficiency in Python, R, or SQL, preferably within a legal setting.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
440
-
πŸ—“οΈ - Date discovered
September 25, 2025
πŸ•’ - Project duration
Unknown
-
🏝️ - Location type
On-site
-
πŸ“„ - Contract type
Unknown
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
Washington, DC
-
🧠 - Skills detailed
#Data Science #Deployment #TensorFlow #Compliance #GDPR (General Data Protection Regulation) #PyTorch #Data Engineering #AWS (Amazon Web Services) #R #Computer Science #Monitoring #Azure #Programming #NLP (Natural Language Processing) #Scala #AI (Artificial Intelligence) #Automation #ML (Machine Learning) #Cloud #Strategy #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Python
Role description
Overview The AI Analyst will play a key role in supporting AI initiatives, particularly within the context of a law firm. This role bridges technical concepts with practical legal applications, helping design, deploy, and optimize AI-driven solutions that enhance efficiency, innovation, and client service. ⚠️ Important Notes: β€’ The firm has deployed Microsoft Copilot in a secured, closed environment. β€’ This is a hands-on technical β€œdoer” role β€” someone who can code and build solutions, not just advise or strategize. β€’ Projected as a contract-to-hire role with 3 days per week in-office required. β€’ No sponsorship available now or in the future (no OPT candidates). Responsibilities β€’ Contribute to the firm’s AI strategy and roadmap, aligning initiatives with business objectives and client service goals β€’ Support AI adoption across practice areas, driving innovation and competitive advantage β€’ Evaluate and apply emerging AI/ML technologies (LLMs, generative AI, NLP) to use cases such as patent analysis, prior art searches, contract review, and e-discovery β€’ Lead proof-of-concept initiatives and pilot projects to assess feasibility and impact of new tools β€’ Collaborate with attorneys, IT, knowledge management, and operations teams to design and implement AI solutions β€’ Translate business and legal needs into technical requirements for AI development and deployment β€’ Oversee the AI solution lifecycle β€” from ideation and prototyping to deployment and monitoring β€’ Apply best practices using tools such as MS Copilot, Agents, and Ollama to ensure scalable and secure solutions β€’ Develop and deliver training to promote AI literacy and adoption across the firm β€’ Support ethical AI frameworks and governance policies to ensure fairness, transparency, and compliance with regulations (e.g., GDPR, ABA guidelines) β€’ Monitor risks and contribute to discussions on AI ethics, accountability, and governance β€’ Define and track KPIs to evaluate AI initiative success and refine solutions using data-driven insights β€’ Stay current with developments in AI/ML, cloud computing (AWS, Azure, GCP), and legal technology β€’ Manage vendor relationships, including selection, contract negotiation, and performance monitoring Qualifications β€’ Bachelor’s degree required; preferred in Computer Science, Artificial Intelligence, Data Science, or related field β€’ Minimum of 2 years of experience in AI, machine learning, data science, or legal technology, with demonstrated success in implementing AI projects β€’ Experience in a law firm or legal setting preferred, particularly in knowledge management or practice support β€’ Direct experience with AI solutions for legal applications (e.g., patent research automation, document analysis, knowledge management tools) highly desirable β€’ Strong understanding of AI/ML concepts, algorithms, and applications (LLMs, generative AI, NLP, predictive analytics) β€’ Proficiency in programming languages such as Python, R, or SQL, and frameworks such as TensorFlow or PyTorch β€’ Experience with cloud platforms (AWS, Azure, GCP) and data engineering practices β€’ Familiarity with legal tech tools (USPTO systems, PatBase, Harvey) a plus β€’ Exceptional written and verbal communication skills with the ability to collaborate across technical and non-technical teams β€’ Strategic thinker with the ability to manage multiple projects in a fast-paced environment