Data & AI QA Intern at Copart in Dallas, TX

Summary: Copart is a technology leader and the premier online vehicle auction platform globally. They are seeking a Data & AI QA Intern who will be responsible for testing and debugging AI algorithms, collaborating with teams to enhance product quality, and developing automated test scripts. Responsibilities: - Testing and Debugging: AI QA interns are expected to develop and execute test plans to assess AI algorithms, data quality, and system performance. They identify, document, and track bugs, and are involved in debugging and defining corrective actions for AI models - Collaboration and Communication: Interns participate in daily team discussions, drive stakeholder demos, and collaborate with development and product teams to enhance AI product quality. They provide updates on testing status to QA leads, project managers, and business stakeholders - Automation and Scripting: Developing automated test scripts and creating comprehensive test suites for web applications are common tasks. Interns may also be involved in creating SQL scripts to verify data flow between front-end and back-end systems - Data Analysis and Reporting: AI QA interns analyze data to evaluate deviations in processes and conduct controls testing. They also perform load and stress tests on servers and use tools like Python to track defects Required Qualifications: - Develop and execute test plans to assess AI algorithms, data quality, and system performance - Identify, document, and track bugs, and are involved in debugging and defining corrective actions for AI models - Participate in daily team discussions, drive stakeholder demos, and collaborate with development and product teams to enhance AI product quality - Provide updates on testing status to QA leads, project managers, and business stakeholders - Developing automated test scripts and creating comprehensive test suites for web applications - Creating SQL scripts to verify data flow between front-end and back-end systems - Analyze data to evaluate deviations in processes and conduct controls testing - Perform load and stress tests on servers and use tools like Python to track defects - Proficient in programming languages such as Python and Java - Understand AI principles and algorithms - Knowledge of software development life cycles and QA methodologies - Knowledge of programming languages such as Java, Python, and C++ - Must hold on SQL for BQ | Mariadb | DB (any one or more…) - A solid grasp of quality assurance principles and methodologies - Ability to perform data entry and regression testing to ensure data quality and system performance - Strong interpersonal skills are necessary for effectively collaborating with team members and communicating findings to stakeholders - Ability to think critically to identify and resolve issues, as well as to understand complex scenarios and test cases - Willingness and ability to work collaboratively within a team, often in a cross-functional environment - Precision in testing to identify and document even the smallest defects Preferred Qualifications: - Knowledge of AI models including LAMA | Genmini | Perplxity | or imaging would be plus - Familiarity with tools like Appiums / Selenium Webdriver / Playwright / other UI Libraries and Jira for automated and manual testing Required Skills: Python, Java, SQL Important Skills: AI models knowledge, Testing Tools Nice-to-Have Skills: Communication, Critical Thinking, Teamwork, Attention to Detail