AI Data Verification & Quality Assurance Specialist
Quick Summary
Conduct row-by-row verification of AI-generated contact lists and structured datasets to ensure field-level accuracy.
A bachelors degree is preferred, ideally in Data Science, Information Management, or a related field. Experience: At least 2 years of experience in data verification, CRM data management,
We at Acxelsus are on a mission to showcase exceptional Filipino talent globally. Beyond educational credentials and professional experience, we highly prioritize passion, dedication, loyalty, and a proactive attitude toward personal growth. Our foundation is built upon a set of core values R.I.G.H.T. representing Reliability, Integrity, Goal-Oriented mindset, Happiness, and Teamwork. These values define our identity and guide our approach to achieving success.
If you are passionate about advancing your career, forging genuine connections, and becoming part of a team committed to your success, join us!
About the Role
~1 min readOur team is seeking a Data Verification Specialist who will build and execute an AI-first verification workflow to ensure near-zero-error lead contact databases and structured datasets. You will play a vital role in ensuring data accuracy, integrity, and freshness across multiple portfolios by combining AI tools, human judgment, and structured validation processes.
Responsibilities
~1 min read- →Data Verification & Validation: Conduct row-by-row verification of AI-generated contact lists and structured datasets to ensure field-level accuracy.
- → Chain-of-Verification: Use structured prompts to confirm name-title-company alignment from primary sources.
- → Contact Validation: Verify contact paths, URLs, and data recency, documenting retrieval dates and HTTP status.
- → Identity Resolution: Execute deduplication, canonicalization, and merge rules to maintain data integrity.
- → CRM Management: Manage and update datasets within HubSpot CRM, ensuring version control, change-logs, and confidence ratings per record.
- → Link-Health Monitoring: Track and replace inactive links or data sources, recording substitution logic and refresh cadence.
- → Data Enrichment: Utilize LinkedIn Sales Navigator for role confirmation, contact enrichment, and identity verification.
- → Automation: Apply approved browser automation or RPA tools to perform repetitive verification and link-health checks efficiently.
- → Documentation: Maintain structured data hygiene, versioned exports, and per-record confidence ratings for audit readiness.
- → Reporting & Quality Analysis: Generate accuracy reports, analyze false positives/negatives, and recommend corrective actions.
- →Quality Control: Participate in dual reviews, randomized spot checks, and ongoing quality audits to ensure compliance with accuracy KPIs.
Requirements
~1 min read- Education: A bachelors degree is preferred, ideally in Data Science, Information Management, or a related field.
- Experience: At least 2 years of experience in data verification, CRM data management, or QA within B2B or technology environments.
- Technical Expertise: Proven proficiency in AI-assisted data workflows, prompt engineering, or LLM verification chains.
- CRM Skills: Advanced user of HubSpot for deduplication, canonical records, merge rules, imports, and exports.
- Data Enrichment: Experienced with LinkedIn Sales Navigator for identity confirmation and enrichment.
- Data Tools: Strong command of Google Sheets or Excel for structured imports, documentation, and QA.
- Automation: Familiarity with browser automation, RPA tools, or link-health checkers for repetitive tasks (a plus).
- Detail Orientation: Extreme attention to detail, documentation discipline, and a QA-driven mindset.
- Analytical Mindset: Strong problem-solving skills and ability to maintain accuracy under tight timelines.
- Communication: Excellent written and verbal English communication skills.
- Work Ethic: Proactive, independent, and committed to maintaining high standards of accuracy and reliability.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- First seen
- May 19, 2026
- Last seen
- May 19, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 19, 2026
Signal breakdown
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