About the Role
We are building an AI-powered RFI (Request for Information) and Questionnaire Automation platform that helps companies respond accurately and consistently to customer, raw material and product , sustainability, compliance, and certification-related questionnaires.We are looking for a Quality Assurance professional with hands-on experience in customer queries and documentation management to support:
- 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
This role sits at the intersection of QA, documentation, and AI-assisted workflows.
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- Identify and flag incorrect, ambiguous, outdated, or potentially risky responses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
This role is ideal for someone who:
- 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
What We Offer
- 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
Location: Kerala, India
Experience: 2+ Years
Work Mode: Remote
Employment Type: Full-time
Job Types: Full-time, Permanent
Benefits:
- Health insurance
- Internet reimbursement
- Provident Fund
- Work from home
Application Question(s):
- Do you have 2+ years of hands-on experience working with customer RFIs / questionnaires, audits, or certification-related documentation (policies, SOPs, manuals, compliance documents)?
Work Location: Remote