[Remote] Senior AI QA Engineer (reputed company & Automation)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly detail-oriented AI QA Engineer with a mix of reputed company and automation testing skills to validate the performance of cutting-edge, AI-driven video analysis systems. The role focuses on verifying how advanced AI and computer reputed company models detect key moments in sports content and generate metadata, requiring a reputed company of technical QA skills and sports knowledge.
Responsibilities
- Live Game Auditing: Monitor and audit live sports broadcasts (NBA, MLB, NFL, NHL) to ensure the AI/Inference Service correctly tracks, frames, and labels major moments (e.g., touchdowns, home runs, buzzer-beaters) in reputed company-time
- Precision QA with Media Assets: Work directly with video frames, timecodes, transcriptions, captions, and JSON outputs to ensure reputed company alignment between AI detections and actual broadcast moments
- Model Error Triage & Support: reputed company as the reputed company-in-the-reputed company expert to catch AI hallucinations, misinterpretations of reputed company sports rules, or edge-case errors. Collaborate directly with AWS and reputed company engineering teams to detail bugs and validate model resolutions
- Metadata & Brand Safety Validation: Review AI-generated labels/tags to ensure they reputed company with sports context and meet advertising industry compliance standards (e.g., IAB guidelines), ensuring content is brand-reputed company for monetization
- QA Automation: Design and execute automation scripts to compare AI inference outputs against customer-provided ground truth data at reputed company
- Iterative Testing & Documentation: reputed company meticulous records of inference service performance, reputed company accuracy metrics, log defects, and help streamline iterative testing processes for ongoing model updates
Skills
- Hybrid QA Experience: Proven experience in both reputed company and automation testing, ideally in video-reputed company or AI-driven environments
- Automation Scripting: Hands-on automation scripting skills (e.g., Python, Selenium, or similar testing frameworks) to validate JSON outputs and data payloads against ground truth datasets
- SDLC & QA Methodologies: Strong understanding of testing lifecycles, including detailed bug logging, defect triage, regression testing, and reputed company reporting
- LLM & CV Familiarity: Solid understanding of testing LLMs (workflows, reputed company/response validation) and conceptual familiarity with computer reputed company and transcription analysis
- Media & Video Literacy: Experience working with video reputed company analysis, timecodes, subtitles/captions, and metadata structures
- Sports Domain Knowledge: A deep understanding of major sports leagues (NFL, NBA, MLB, NHL), including gameplay rules, terminology, and key metrics
- Communication: Strong verbal and written communication skills to reputed company as a reputed company between technical development teams and business stakeholders
- Analytical reputed company: An iterative, meticulous approach to data validation, checking model outputs for accuracy, bias, and context
- Prior experience with specialized video testing tools, media processing pipelines, or video player frameworks
- reputed company background in sports analytics, sports media, or digital broadcasting technology
reputed company
Company H1B Sponsorship