Posting Type Hybrid/Remote Job Overview Are you passionate about AI and transforming the way we handle document reviews? If so, aiR for Review is the place for you! This innovative tool uses the latest in generative AI to transform document review processes through simulating human reviewers, and we're looking for talented individuals to help us push the boundaries even further. As an intern, you'll work alongside our expert team, contributing to the refinement and enhancement of our existing solution. If you're excited about working with the latest technology and making a real impact in the legal industry, this team is for you! Job Description and Requirements Your Role in Action: Utilize new technologies and popular programming languages to design, build, and test our platform and applications. Work on scalable and dynamic web systems that support integration with multiple search engines, clustering technologies, and client component interaction through web services. Learn to build highly distributable systems composed of multiple databases, processing, and web servers. Participate in the SCRUM process. Troubleshoot and resolve issues. Your Skills: Current or recent student pursuing a bachelor's or master's degree in Computer Science, Math, or a related field. Passion for web development. Desire to work with the Agile development methodology. Strong team player. What You'll Gain: Hands-on experience writing code in a large codebase. Opportunity to learn new programming languages such as C# and JavaScript. Experience working in an Agile environment. Enhanced technical skills with a strong emphasis on testing. Join us at Relativity and be part of a dynamic team that is at the forefront of legal tech innovation. Apply now to make a real impact in the legal industry! Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $48,000 and $63,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Relativity
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