✦ Luna Orbit — QA & Testing

QA Implementation Specialist | Vision AI Products

at Distro

📍 Remote, US Remote Posted March 25, 2026
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Position Details

Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category QA & Testing

About this role

This role involves testing AI-driven computer vision features, validating data pipelines, and troubleshooting hardware/software issues to ensure high-quality AI product deployment.

Key Responsibilities

  • Test AI features
  • Validate data pipelines
  • Troubleshoot hardware/software issues
  • Evaluate model performance
  • Collaborate with engineering

Technical Overview

Technical scope includes computer vision, AI feature testing, data validation, and system troubleshooting within AI and video data environments.

Ideal Candidate

The ideal candidate is a mid-level QA specialist with experience in computer vision and AI feature testing. They are detail-oriented, skilled in data validation, and capable of troubleshooting hardware and software issues in AI systems.

Must-Have Skills

Experience with computer visionTesting AI featuresData validationTroubleshooting hardware and software issuesConfiguring AI solutions

Nice-to-Have Skills

Experience with video dataAI model evaluationData pipeline validationEnd-to-end testingCustomer implementation

Tools & Platforms

Computer VisionAI frameworksVideo data systemsData pipelines

Required Skills

Quality AssuranceComputer VisionAIvideo datatestingdata validationmodel evaluationvalidation pipelines

Hard Skills

Quality AssuranceComputer VisionAIVideo DataTestingData ValidationModel EvaluationValidation PipelinesAI FeaturesData Pipelines

Soft Skills

Attention to detailSystems thinkingDocumentationCommunicationProblem-solving

Industry & Role

Industry AI / Computer Vision / Technology
Job Function Ensure quality and performance of AI vision products
Role Subtype QA Implementation Specialist
Tech Domains Computer Vision, AI, Data Pipelines

Keywords for Your Resume

QAQuality AssuranceComputer VisionAIvideo datatestingdata validationmodel evaluationvalidation pipelinesAI featuresdata pipelinesend-to-end testinghardware troubleshootingsoftware troubleshootingcomputer visionAI testingtroubleshootinghardware issuessoftware issues

Deal Breakers

Lack of experience with computer vision, No AI testing background, Familiarity only with traditional QA, No experience with video data or AI models

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