Data Auditor
Rifa AI · India
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- Hybrid
- Full-time
- $60,000 / year
- India
Job highlights
- Monitor and report on AI product quality daily.
- Review AI agent conversations for issues.
- Reconcile data across multiple systems.
- Generate structured reports for stakeholders.
- Maintain high quality and compliance standards.
About the role
Data Auditor (AI System Quality & Monitoring)
We're hiring a Data Auditor to monitor and report on the quality of our AI-powered products on a daily basis at Rifa AI.
You'll review AI agent conversations, flag quality and compliance issues, reconcile data across systems, and produce structured reports that feed directly into product decisions and client communications. This is an analytical, process-driven role — consistency and reporting discipline are non-negotiable. But beyond tracking numbers, we want someone who spots patterns and brings a quality mindset to the work.
What you'll do:
- Audit AI agent conversations (voice and chat) daily against defined quality standards
- Flag deviations — wrong responses, missed triggers, incorrect escalations, tone issues
- Monitor dashboards, cross-check data across systems, and track discrepancies
- Generate daily and weekly reports for the QA lead and product stakeholders
- Maintain structured logs in Google Sheets with issue details and resolution status
What we're looking for:
- 1–3 years in data auditing, QA, operations, or a related analytical role
- Strong Google Sheets proficiency and high attention to detail
- Ability to review conversation transcripts and identify deviations from expected outcomes
- Clear, concise written communication — daily reports go to internal stakeholders and clients
- Process-oriented with the ability to work consistently across high volumes
Good to have:
- Familiarity with AI chatbot/voicebot products, CRM or workflow tools
- Basic data reconciliation skills
Key skills/competency:
- Data Auditing
- AI Quality Assurance
- Monitoring
- Reporting
- Data Reconciliation
- Google Sheets
- Analytical Skills
- Quality Control
- Compliance
- Attention to Detail
Skills & topics
- Data Auditor
- AI Quality Assurance
- Monitoring
- Reporting
- Data Reconciliation
- Google Sheets
- Analytical Skills
- Quality Control
- Compliance
- Rifa AI
How to get hired
- Tailor your resume: Highlight experience in data auditing, QA, operations, or similar analytical roles, emphasizing Google Sheets proficiency and attention to detail.
- Showcase analytical skills: Quantify achievements in identifying deviations, reporting on data quality, and improving processes.
- Demonstrate communication ability: Provide examples of clear, concise written reports for internal and external stakeholders.
- Understand the role: Emphasize your process-oriented approach and ability to handle high volumes consistently in your application.
- Prepare for interviews: Be ready to discuss your experience with AI products and how you approach quality and compliance monitoring.
Technical preparation
Master Google Sheets functions and formulas.,Practice identifying patterns in data.,Familiarize yourself with AI concepts.,Review quality assurance methodologies.
Behavioral questions
Describe a time you found a critical error.,How do you ensure consistency in your work?,How do you handle high-volume tasks?,Explain your reporting process for issues.
Frequently asked questions
- What does a Data Auditor at Rifa AI do?
- A Data Auditor at Rifa AI monitors and reports on the daily quality of AI-powered products. This involves reviewing AI agent conversations, identifying quality and compliance issues, reconciling data across systems, and generating detailed reports for product teams and clients. It's an analytical and process-driven role focused on maintaining high standards.
- What are the core responsibilities of a Data Auditor role at Rifa AI?
- The core responsibilities include auditing AI agent conversations against quality standards, flagging any deviations like incorrect responses or tone issues, monitoring dashboards, cross-checking data for discrepancies, and creating daily and weekly reports using Google Sheets. Consistency and disciplined reporting are key.
- What skills are essential for a Data Auditor at Rifa AI?
- Essential skills include 1-3 years of experience in data auditing, QA, or operations, strong proficiency in Google Sheets, a high attention to detail, the ability to identify deviations in conversation transcripts, and clear, concise written communication skills. A process-oriented mindset for handling high volumes is also crucial.
- Is this Data Auditor position remote?
- Yes, the Data Auditor position at Rifa AI is a remote role. It requires adherence to CST business hours, and daily reporting is a strict requirement of the job.
- What kind of AI experience is beneficial for this role?
- Familiarity with AI chatbot or voicebot products is considered a plus for this Data Auditor role. Experience with CRM or workflow tools, and basic data reconciliation skills, are also beneficial but not strictly required.
- How important is attention to detail for a Data Auditor at Rifa AI?
- Attention to detail is extremely important for a Data Auditor at Rifa AI. The role requires meticulously reviewing AI conversations, identifying subtle deviations from expected outcomes, and accurately logging issue details for reporting and decision-making. Consistency in reporting is non-negotiable.
- What kind of reports will a Data Auditor be creating?
- A Data Auditor will create structured daily and weekly reports. These reports detail issue specifics, resolution statuses, and data discrepancies found during the auditing process. They are crucial for informing product decisions and client communications.
- What is the expected work cadence for this Data Auditor role?
- The work cadence for this Data Auditor role is daily reporting. This consistent rhythm ensures that quality and compliance issues are identified and addressed promptly, feeding directly into ongoing product development and client management.