Data Discovery and Enrichment Expert I - Hybrid or Remote
Role details
Job location
Tech stack
Job description
This is a full-time role working within the Data Discovery and Enrichment Organization at LexisNexis. As a Data Discovery and Enrichment Expert I, you will learn best practices for creating training data and evaluating output of AI models. You will use your expertise in the legal domain to create basic insights and recommendations from these tasks that are critical to creating the best features and products for our customers. You will start by supporting members of the team on simpler projects and grow to support on more complex projects.
About the Data Discovery and Enrichment Organization
Data Discovery and Enrichment Experts are subject matter experts in the legal domain, playing a key role in leading the transformation of legal technology. They partner with data scientists, data engineers, and product managers to create cutting-edge artificial intelligence solutions with legal data. Data Discovery and Enrichment Experts provide annotation, evaluation, and feedback to their partners which are critical to the development of these solutions. Examples of the innovative AI initiatives that the Data Discovery and Enrichment Organization works on can be found here: https://www.lexisnexis.com/en-us/about-us/legal-ai-tools.page
Responsibilities
- Performing legal research and analysis
- Communicating actionable feedback and insights
- Learning best practices in the creation and maintenance of training data and relevance evaluations
- Providing support to Leads and Senior Data Discovery and Enrichment Experts
- Participating in presentations to internal stakeholders
- Advocating for Responsible AI
Requirements
- Have a Juris Doctor (JD) degree
- Have minimal professional legal experience
- Be competent in legal research and writing
- Be a natural problem solver
- Have a customer-centric mindset
- Be able to collaborate with your team to advance projects
- Have an interest in machine learning and natural language processing technologies
- Be proficient in using Excel, PowerPoint, and other similar programs
- Have working knowledge or understanding of agile and lean methodologies
Work in a way that works for you
We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees.