AI testing Engineer

We are seeking an AI Testing Engineer to validate and assure quality of AI/ML systems powering real-time contextual advertising on live video streams. The role involves testing multi-modal AI outputs (video + text), ensuring accuracy of detected moments, and automating validation workflows. This role is critical for native moments validation and system-level QA in a real-time streaming environment., Validate AI-generated outputs against labelled datasets and expected outcomes Perform content validation for native moments detection across video streams Design and implement automated testing frameworks (Python-based) Build validation harness for: JSON parsing and comparison Structured output validation using defined schemas Conduct multi-modal validation (video, audio, transcript outputs) Execute system integration and end-to-end testing Track accuracy metrics, defect logging, and root cause analysis Automate regression and validation pipelines across datasets Collaborate with Applied Scientists to validate LLM and GenAI outputs Work within AWS environment using services such as: S3 (data storage).Lambda (processing).CloudWatch (monitoring), As a Hebrew Transcription Expert, you will play a crucial role in training next-generation AI systems by providing high-quality, real-world input. Your expertise will directly infl…

• 29 days ago
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Senior Development Engineer Johnson Controls

• Tampa, FL

• $100,100-150,400 per year What you will do Under minimal direction, participates as a leader of the Development Team to achieve department and project objectives on medium to large projects. Leads enginee…

• 12 days ago

Strong Python scripting for automation and testing . Experience in AI/ML model validation and QA workflows. Hands-on with: JSON parsing, schema comparison Data validation pipelines Experience in testing: Multi-modal AI systems (vision + NLP + audio) LLM outputs and generative AI pipelines. Good understanding of: Structured output validation AI accuracy evaluation techniques Familiarity with AWS cloud environment (S3, Lambda, logging/monitoring) Experience with media/video content analysis workflows preferred Ability to handle mixed manual + automated testing approaches