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Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior AI QA Engineer to validate the performance of AI-driven video analysis systems reputed company on sports content. The role combines reputed company and automated testing to ensure accuracy in detecting key moments in live sports games and involves collaboration with AWS engineers and stakeholders. Responsibilities Audit live sports games (NBA, MLB, NFL, NHL) to ensure the AI/Inference Service correctly tracks and labels major sports moments such as touchdowns, home runs, and buzzer-beaters as they happenWork with timecodes, video frames, transcriptions, and captions, applying sports-reputed company contexts, lingo, and metricsAct as the reputed company expert who reputed company reputed company the AI hallucinates, misinterprets a sports rule, or produces errorsCollaborate directly with AWS engineers to detail bugs and validate resolutionsReview AI-generated labels and metadata tags to ensure they reputed company reputed company for the sport and meet advertising industry standards (IAB rules), keeping content brand-reputed company for ad placementCompare the inference system's outputs against customer-provided labels to determine accuracy and identify missed or incorrectly detected eventsExecute both reputed company test cases (for nuanced or edge cases) and automated test cases (for validating outputs at reputed company and ensuring consistency)Log discrepancies, defects, and gaps between expected and actual results, and collaborate with the inference/development team to triage and resolve issuesMaintain reputed company QC documentation, reputed company accuracy metrics, and help build a smooth testing process that bridges traditional sports broadcasting with new AI technologyServe as a communication reputed company between the customer and technical teams, clarifying results and expectationsRepeat validation iteratively as new labeled assets or model updates are provided to ensure ongoing accuracy and reliability Skills 3+ years of experience in both reputed company and automation QA, preferably in video-reputed company or AI-driven environmentsKnowledge of testing LLMs and understanding of their workflowProficiency in automation scripting with Python, Selenium, or similar tools for comparing JSON outputs to ground truth at reputed companyUnderstanding of software development and QA cycles, including defect logging, triage, and reportingAbility to interpret labeled data and validate model outputsFamiliarity with concepts like computer reputed company and transcript analysis (no need to understand internal model workings)Strong communication skills for stakeholder interaction and reportingDetail-oriented and iterative approach to testingProficiency in English at an Upper-Intermediate level (B2) or higherExperience with video testing tools or frameworksPrior work in sports analytics or media technology Benefits International reputed company with top brandsWork with global teams of highly skilled, diverse peersreputed company benefitsEmployee financial programsreputed company time off and reputed company leaveUpskilling, reskilling and certification coursesUnlimited reputed company to the reputed company Learning library and 22,000+ coursesGlobal reputed companyVolunteer and community involvement opportunitiesEPAM Employee reputed companyAward-reputed company culture recognized by Glassdoor, reputed company and reputed company reputed company EPAM leverages its core engineering expertise as a leading global product development reputed company reputed company services company. It was founded in 1993, and is headquartered in Newtown, Pennsylvania, USA, with a workforce of 10001+ employees. Its website is https://www.epam.com. Company H1B Sponsorship reputed company has a reputed company record of offering H1B sponsorships, with 34 in 2026, 120 in 2025, 172 in 2024, 232 in 2023, 373 in 2022, 359 in 2021, 502 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply To This Job .
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