QA Implementation Specialist | Vision AI Products

6 days, 12 hours ago
Full-time
Mid Level
Quality Assurance and Testing
Distro

Distro

DISTRO is a global platform for companies to interview and hire candidates for full-time roles efficiently.

Internet Software & Services
11-50

Description

  • Test new AI features before 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 such as accuracy checks and pattern analysis.
  • Partner with engineering to triage issues and drive iterative improvements.
  • Provide clear, actionable feedback to improve model performance and product quality.
  • 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 issues or fix them independently.
  • Build processes to transition implementations to the operations team as features mature and scale.

Requirements

  • High ownership and accountability as the final owner of quality.
  • A 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 when validating data and video outputs.
  • Clear documentation and communication skills for both technical and non-technical teams.
  • Comfortable working in a fast-paced, iterative environment.
  • Experience with computer vision systems such as object detection, tracking, or re-identification is a bonus.
  • Familiarity with video analytics or AI-based products is a bonus.
  • Experience with edge devices, cameras, or hardware deployments is a bonus.
  • Experience analyzing structured data such as CSV, JSON, or SQL is a bonus.
  • Exposure to QA processes, test planning, or validation frameworks is a bonus.

Benefits

  • Remote / hybrid work arrangement.
  • Full-time role.
  • Opportunity to work on AI-driven Vision products for multi-site operators.
  • Exposure to both product development QA and customer implementation work.
  • Chance to build processes and help scale implementations into operations.

Interested in this position?

Apply directly on the company website

Apply Now

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