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Document Verification Jobs (NOW HIRING)

Sarma

Background Screening CSR - Verifier

San Antonio, TX · On-site

$15 - $17/hr

Document verification results accurately in the screening system. * Follow up on discrepancies or missing information. Education Verification * Verify educational credentials with schools, colleges ...

Intel

Design Verification Architect

Folsom, CA

$164K - $232K/yr

Position Overview Defines, architects, and documents verification strategy and methodologies for implementing and verifying the pre-silicon design in the most optimal manner. Architects testbenches ...

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How much do document verification jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for document verification in the United States is $20.63, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $24.52 per hour, depending on experience, location, and employer.

What are some typical challenges faced in a document verification role?

One common challenge in Document Verification is handling large volumes of sensitive paperwork or digital files while maintaining accuracy and consistency. The work often involves tight deadlines and requires constant vigilance to spot errors, fraudulent documents, or non-compliance with regulations. As digital transformation increases, you may also need to adapt quickly to new software systems and evolving security protocols. Collaboration with compliance officers, HR, or customer service teams is frequent, so strong interpersonal skills and flexibility can help you succeed in overcoming these challenges.

What are the key skills and qualifications needed to thrive in document verification?

To thrive in Document Verification, you need keen attention to detail, data entry expertise, and knowledge of relevant compliance standards, often supported by a high school diploma or higher. Familiarity with document management software, database platforms, and occasionally certification in anti-fraud or compliance tools is useful. Strong organizational skills, effective communication, and discretion when handling sensitive information help you stand out in this role. These abilities ensure that records are accurately validated, risks are minimized, and organizational integrity is maintained.

What is a document verification?

A Document Verification job involves checking, validating, and ensuring the authenticity of documents submitted by individuals or organizations. This process is commonly used in banking, finance, government, and corporate sectors to prevent fraud and ensure compliance with regulations. Responsibilities may include reviewing identity documents, cross-checking information, and maintaining accurate records. Strong attention to detail and knowledge of verification procedures are essential for this role.

What skills do you need for a document verification job?

A document verification job requires strong attention to detail, excellent organizational skills, and the ability to assess the authenticity of various documents such as IDs, passports, and financial records. Good communication skills, familiarity with verification tools or databases, and knowledge of relevant regulations are also important for accuracy and compliance.
More about Document Verification jobs
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Document Verification jobs near you
Infographic showing various Document Verification job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,911 per year, or $20.6 per hour.

Senior Product Manager - Document Verification

Socure

San Francisco, CA • On-site

$149K - $196K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Socure is building the identity trust infrastructure for the digital economy, focusing on verifying identities and preventing fraud. They are seeking a Senior Product Manager to oversee critical components of their Document Verification platform, working closely with Data Science and Engineering to enhance fraud detection and decisioning frameworks.
Responsibilities:
• Own the roadmap and execution for DocV’s forensic engine, including detection of document fraud, injection attacks, and AI-generated content.
• Support efforts to scale DocV adoption globally, including in the public sector, financial services, and emerging markets.
• Partner with Data Science to define, evaluate, and improve model performance across key fraud vectors.
• Identify gaps in detection coverage and drive new signal development across image, video, and device layers.
• Design and evolve decisioning frameworks that translate model outputs into actionable outcomes.
• Build scalable, configurable logic that supports diverse customer risk profiles and use cases.
• Balance fraud detection performance with user experience and conversion impact.
• Work closely with high-value customers to understand fraud patterns, edge cases, and operational needs.
• Translate customer feedback into product improvements and prioritization decisions.
• Support complex customer implementations and act as a subject matter expert in DocV decisioning.
• Collaborate with Engineering and Data Science to translate product requirements into technical execution.
• Partner with the Fraud Investigation team, Customer Success, and Sales to align on product behavior and outcomes.
• Drive alignment on tradeoffs between detection accuracy, false positives, and business impact.
• Use SQL and analytics tools to evaluate model performance, decisioning outcomes, and conversion impact.
• Define and track key metrics related to fraud detection, model precision/recall, and user experience.
• Conduct deep dives into fraud patterns and emerging attack vectors.
• Support product launches and enhancements with clear positioning and documentation.
• Enable internal teams and customers to understand and effectively use decisioning capabilities.
Qualifications:
Required:
• 3–5 years in product management, preferably in identity verification, fraud prevention, or other ML-driven products.
• Strong understanding of APIs, SQL queries, databases, and product architecture.
• Experience working closely with ML models, including understanding model outputs, evaluation metrics, and tradeoffs.
• Familiarity with fraud detection techniques, identity verification flows, or risk-based decisioning systems.
• Comfortable working with data, writing queries, and deriving insights to inform product decisions.
• Ability to balance technical complexity, customer needs, and business impact in decision-making.
• Experience working directly with customers, especially in complex or high-stakes environments.
• Strong ability to explain complex technical concepts clearly to both technical and non-technical audiences.
• Proven ability to work cross-functionally with Engineering, Data Science, and go-to-market teams.
Preferred:
• Exposure to image processing, OCR, or document verification systems is a strong plus.
Company:
Socure is a predictive analytics platform for digital identity verification of consumers. Founded in 2012, the company is headquartered in Incline Village, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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