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Document Verification Jobs in Florida (NOW HIRING)

Shipping Clerk

Doral, FL

$15.75 - $18.75/hr

... document verification ✅ Coordination with transportation and suppliers Office schedule with potential overtime during peak periods.

Insurance Verification

Stuart, FL · On-site

$14.25 - $18.25/hr

Verification and documentation of new patient insurance coverage and coordinating costs for supplies in order to communicate to the patient and billing what the patient order cost will be * Re ...

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Document Verification information

See Florida salary details

$8

$15

$23

How much do document verification jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for document verification in Florida is $15.42, according to ZipRecruiter salary data. Most workers in this role earn between $12.21 and $18.32 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 the Document Verification position, and why are they important?

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 job?

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 are the most commonly searched types of Document Verification jobs in Florida? The most popular types of Document Verification jobs in Florida are:
What are popular job titles related to Document Verification jobs in Florida? For Document Verification jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Document Verification jobs? Cities in Florida with the most Document Verification job openings:
Infographic showing various Document Verification job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, and 5% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $32,067 per year, or $15.4 per hour.
Head of Data Science - Document Verification & Biometrics

Head of Data Science - Document Verification & Biometrics

Socure

Miami, FL • On-site

Full-time

Posted 18 days ago


Job description

Job Summary:
Socure is building the identity trust infrastructure for the digital economy, and they are seeking an exceptional leader to drive AI-powered Document Verification and Biometrics solutions. This role involves owning the data science strategy and execution, leading a team of data scientists, and advancing fraud detection capabilities.
Responsibilities:
• Own and define the data science vision for Document Verification, Biometrics, and Reusable ID, delivering step-function improvements in accuracy, speed, and user experience.
• Lead and scale a high-performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability.
• Architect and deploy state-of-the-art computer vision and multimodal systems, including vision-language models (VLMs), for document understanding, face matching, liveness detection, and identity verification.
• Drive the development of domain-specific foundation models tailored to identity, documents, and biometrics, leveraging large-scale proprietary datasets.
• Lead the transition to agentic systems, building intelligent agents that can reason over document and biometric signals, automate verification workflows, and adapt dynamically to new fraud patterns.
• Advance fraud and attack detection capabilities, including deepfake detection, presentation attack detection, and counterfeit document detection.
• Design and implement secure and robust systems resilient to emerging threats such as prompt injection and adversarial attacks on multimodal and agent-based systems.
• Leverage vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences.
• Partner closely with Product, Engineering, and Risk teams to deliver scalable, production-grade solutions that meet both business and regulatory requirements.
• Drive rapid experimentation and deployment, balancing innovation with reliability, explainability, and compliance.
• Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships.
• Represent Socure externally as a thought leader in biometrics, document AI, and fraud prevention.
Qualifications:
Required:
• Advanced degree (MS/PhD preferred) in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• 10+ years of experience in data science, machine learning, or applied AI, with a strong track record of building and deploying production systems.
• Deep expertise in computer vision and multimodal AI, including experience with vision-language models (VLMs).
• Proven experience building domain-specific foundation models or large-scale representation learning systems.
• Strong understanding of biometric systems, including face recognition, liveness detection, and anti-spoofing techniques.
• Experience detecting and mitigating deepfakes, presentation attacks, and counterfeit documents.
• Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents.
• Experience with vector databases and embedding-based retrieval systems.
• Strong awareness of emerging attack vectors, including prompt injection, adversarial inputs, and model exploitation techniques.
• Proven ability to lead and scale high-performing teams while delivering under ambiguity and tight timelines.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch).
• Proven ability to engage with customers and external stakeholders, clearly explaining complex AI systems, trade-offs, and outcomes to both technical and non-technical audiences.
Preferred:
• MS/PhD preferred in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.
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.