Distro

QA Implementation Specialist – Vision AI Products

Distro

full-time

Posted on:

Location Type: Hybrid

Location: United States

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Tech Stack

SQL

About the role

  • Operate across two core areas: Product QA and Customer Implementation.
  • Product Development QA:
  • Test new AI features prior to release to ensure accuracy and reliability.
  • Evaluate outputs from computer vision models and analytics pipelines.
  • Identify and document edge cases, failure modes, and inconsistencies.
  • Quantify performance using structured validation (e.g., accuracy checks, pattern analysis).
  • Partner with engineering to triage issues and drive iterative improvements.
  • Provide clear, actionable feedback to improve model performance and product quality.
  • Customer Implementation & Validation:
  • Configure and deploy AI solutions for new customer locations.
  • Configure and deploy point-of-sale integrations.
  • Validate camera setups, configurations, and feature outputs for accuracy and readiness.
  • Perform end-to-end testing before customer handoff.
  • Identify and trace issues in live environments across hardware, video, data pipelines, and configurations.
  • Collaborate with engineering, product, and operations teams to resolve or independently fix issues.
  • Ensure a seamless transition to Customer Success with confident data quality.

Requirements

  • High ownership; final owner of quality.
  • Technical background is a plus.
  • Strong systems thinking to understand interactions among hardware, software, and data pipelines.
  • Proven ability to identify root causes and resolve issues.
  • High attention to detail in validating data and video outputs.
  • Clear documentation and communication skills for both technical and non-technical teams.
  • Comfortable in a fast-paced, iterative environment.
  • Experience with computer vision systems (object detection, tracking, re-identification).
  • Familiarity with video analytics or AI-based products.
  • Experience with edge devices, cameras, or hardware deployments.
  • Experience analyzing structured data (CSV, JSON, SQL).
  • Exposure to QA processes, test planning, or validation frameworks.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
computer visionAI solutionspoint-of-sale integrationsdata validationstructured data analysistest planningvalidation frameworksedge devicesvideo analyticsperformance quantification
Soft Skills
high ownershipsystems thinkingattention to detailclear documentationcommunication skillsproblem-solvingcollaborationadaptabilityiterative improvementcustomer focus