QA Analyst - RFI & Documentation (AI Products)

• Discovery of client document structures
• Verification of AI-generated RFI responses
• Identifying gaps, inconsistencies, and risks
• Training and improving AI models using real-world validation

Key Responsibilities 1. Client Document Discovery & Structuring

• Analyze and understand client document repositories (policies, SOPs, manuals, certifications, reports, etc.)
• Identify how different companies organize and maintain documentation
• Classify documents based on relevance to RFIs, audits, compliance, and customer queries
• Support creation of structured AI-ready knowledge bases from unstructured documents

2. RFI & Questionnaire Validation (AI Output Review)

• Review AI-generated RFI / questionnaire responses for:
  • Accuracy against source documents
  • Completeness and relevance
  • Consistency across responses
  • Compliance and risk sensitivity
• Identify and flag incorrect, ambiguous, outdated, or potentially risky responses
• Suggest corrections or improvements based on domain understanding
• Act as a final human validation layer before responses are shared with customers

3. AI Training & Continuous Improvement

• Provide feedback loops to improve AI response quality
• Help label and tag data used for AI training
• Assist in defining validation rules and quality benchmarks for AI outputs
• Participate in testing new AI features and workflows

4. Quality Assurance & Process Support

• Define QA checklists for RFI responses and document usage
• Help standardize response format, language, tone, and structure across customers
• Help identify gaps in documentation coverage
• Collaborate with product, AI, and engineering teams to improve workflows

Required Skills & Experience Must-Have

• 2+ years of experience in Quality Assurance or Quality Management roles, documentation, compliance, or customer query handling role
• Strong experience handling:
  • Customer questionnaires / RFIs
  • Internal documentation (policies, SOPs, manuals, certifications)
• Excellent attention to detail and analytical thinking
• Ability to validate content against source documents
• Comfortable working with structured and unstructured data
• Good written communication skills (English)

Preferred / Nice-to-Have

• Experience in:
  • Certification bodies, audit firms, consulting, sustainability, compliance, or manufacturing companies
  • ISO, ESG, sustainability, supply chain, or regulatory documentation
• Familiarity with AI tools or AI-assisted workflows
• Experience working with Excel, Google Drive, SharePoint, or document management systems
• Understanding of data privacy and confidentiality handling

Who Should Apply

• Has worked in QA/QM or operations teams answering customer or certification-related questions
• Knows how to navigate complex document structures
• Enjoys reviewing, validating, and improving content quality
• Wants to work closely with AI-driven products and shape how automation is built

• Fully remote role
• Opportunity to work on a cutting-edge AI product
• High ownership and direct impact on product quality
• Flexible work culture
• Exposure to AI, RAG systems, and automation platforms

Required Skills

• Job knowledge
• Debugging and Solution suggestion
• Decisiveness
• Planning and Problem-Solving
• Communication skills
• Commitment/Accountability
• Quality product delivery

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.