AI-Enabled Quality Control Inspector

Santriya Technologies; Chennai District; On-site; INR 260,000 - 380,000; Full time

Job summary

Santriya Technologies is seeking an AI-Enabled Quality Control Inspector to perform incoming, in-process or final inspection with AI/computer-vision assistance, with human verification of acceptance decisions.

You will inspect products, materials, packaging or workmanship against drawings and acceptance criteria, using approved AI tools to augment the process while ensuring safety and compliance. Accuracy in documentation and traceability is essential.

Qualifications

• Experience in quality control inspection against drawings and specs.
• Ability to validate AI/vision-assisted outputs with human review.
• Familiar with traceability and non-conformance reporting processes.

Responsibilities

• Inspect products, materials, packaging or workmanship against drawings, specifications and acceptance criteria.
• Use AI/computer vision to prioritize or augment inspection and validate outcomes with human oversight.
• Record measurements, defects, samples, images and traceability evidence accurately.
• Raise non-conformance reports and support disposition workflows.
• Monitor defect trends and recurring causes using AI-assisted analytics.
• Coordinate with supplier, production, warehouse and engineering teams on corrective actions.

Skills

Quality control

AI-assisted inspection

Computer vision

Tools

AI-powered inspection tools

Vision systems

Job description

• Santriya Technologies is seeking an AI-Enabled Quality Control Inspector to perform incoming, in-process or final inspection using approved measurement methods and AI/computer-vision assistance, with human verification of acceptance decisions.
• Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services.
• The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth.
• Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work.
• Validate material AI outputs against current documentation and authoritative system data, record exceptions, and elevate conflicts or missing guidance.
• Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities

• Inspect products, materials, packaging or workmanship against drawings, specifications and acceptance criteria.
• Use approved computer vision or AI defect detection to prioritize or augment inspection, validating flagged and accepted outcomes as required.
• Record measurements, defects, samples, images and traceability evidence accurately.
• Raise non-conformance reports, segregate suspect material and support disposition workflows.
• Monitor defect trends and recurring causes using AI-assisted analytics.
• Calibrate/verify inspection tools and follow sampling plans.
• Coordinate with supplier, production, warehouse and engineering teams on corrective actions.
• Never allow AI confidence scores alone to release safety-critical or regulated items.
• AI-enabled ways of working:
• Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.
• Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.
• Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.
• Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.
• Human accountability: AI is a copilot, not the accountable decision-maker.
• The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation.
• Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.
• Success Measures:
• Defect escape and false rejection rates reduce
• Inspection productivity improves
• NCR evidence and traceability remain strong
• Recurring defect causes are systematically reduced