QA Engineer

Easycomm Innovations; United States; Remote; USD 70,000 - 100,000; Full time

Job summary

Easycomm Innovations is seeking a test engineer to validate a computer-vision system in a live edible oil, soap, and soya meal production environment. You will verify camera feeds, edge AI processing, backend services, and dashboards while ensuring data alignment with ERP records at gates and loading areas.

The role emphasizes testing under challenging conditions, including poor lighting, high-speed conveyors, and unstable networks, and requires clear documentation and collaboration with factory

Qualifications

• Ability to document issues arising from real industrial conditions.
• Strong communication with factory teams and engineers.
• Attention to behavior under lighting failure, network drops, and varied product appearance.
• Experience in production environments is a plus.

Responsibilities

• Test the computer-vision system in fast-moving, high-volume production environments.
• Verify integration with ERP data at facility gates and loading areas.
• Assess performance across cameras, edge servers, backend services, dashboards and mobile apps.
• Document issues and provide actionable feedback for reliability improvements.

Skills

Documentation

Communication

Factory testing

Issue identification

Tools

Industrial cameras

Edge AI servers

Backend verification services

Web dashboards

Mobile apps

Job description

Batch: 2024/2025/2026/2027.

About the role:

• - Test a computer-vision system built for a major edible oil, soap, and soya meal producer that monitors production output, validates shipments against ERP records at facility gates and loading areas, and generates safety warnings
• - Verify functionality across industrial cameras, edge AI servers, backend verification services, web dashboards, and mobile applications
• - Work with the platform in genuine factory settings to ensure it performs reliably under real-world constraints

What you'll test:

• - System accuracy in counting and tracking production in fast-moving, high-volume environments
• - Dispatch verification workflows against live ERP data at exit points and dock areas
• - Safety alert generation and escalation paths
• - Camera feeds and image processing under poor lighting and difficult visibility conditions
• - Edge server performance and local processing reliability
• - Mobile app usability and data synchronization
• - Web dashboard reporting and real-time data display

Working conditions:

• - On-site testing in active factory environments during production
• - Conditions include degraded packaging, visually similar product SKUs, wrapped and stacked pallets, high-speed conveyor systems, inconsistent lighting, and unstable network connectivity
• - Problem-solving in challenging, uncontrolled settings rather than controlled lab scenarios

What this demands:

• - Ability to identify and document issues that arise from real industrial conditions, not just theoretical edge cases
• - Attention to how the system behaves when lighting fails, network drops, or product appearance varies
• - Communication skills to work with factory teams and engineers in a production setting

Note: Use the role name in the email subject. Send resume and links to relevant projects, GitHub, or published apps.