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Remote Document Scanning Data Entry Jobs in Brandon, FL

Data Platform Engineer

Tampa, FL ยท Remote

$117K - $140K/yr

... document and search stores for rich metadata and adverse media content * Optimize the platform for ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Water Resources Engineer

Tampa, FL ยท Remote

$74K - $102K/yr

... data entry; and * Work with a team of Water Resources Engineers and GIS specialists supporting ... Remote Skills / Qualifications Required Qualifications: * Bachelor or Masters of Science in ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Composes technical documents for knowledge persistence, risk management, and technical review ...

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Remote Document Scanning Data Entry information

See Brandon, FL salary details

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How much do remote document scanning data entry jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote document scanning data entry in Brandon, FL is $15.80, according to ZipRecruiter salary data. Most workers in this role earn between $12.93 and $16.11 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote document scanning data entry professionals and how can they be managed?

Remote Document Scanning Data Entry professionals often encounter challenges such as maintaining data accuracy while processing large volumes of documents and dealing with varying document formats or image qualities. To manage these, it's important to develop strong attention to detail, use document management software efficiently, and establish a distraction-free workspace. Regular communication with team members and supervisors can also help clarify any uncertainties about document requirements and streamline the workflow. Adhering to best practices for data security and confidentiality is crucial, as much of the information handled may be sensitive.

What is a remote document scanning data entry professional?

A Remote Document Scanning Data Entry job involves digitizing physical documents by scanning them and entering the relevant data into electronic databases or systems. Workers typically use scanners and specialized software to convert paper documents into digital formats, then ensure that the information is accurately transcribed and organized. This position can be performed from home or any remote location with access to the necessary equipment and secure internet. Attention to detail, computer literacy, and maintaining confidentiality are important skills for this job.

What is the difference between Remote Document Scanning Data Entry vs Remote Data Entry Clerk?

AspectRemote Document Scanning Data EntryRemote Data Entry Clerk
Primary FocusScanning physical documents and entering data from scanned imagesEntering various types of data into digital systems from different sources
Skills & CertificationsAttention to detail, basic computer skills, familiarity with scanning softwareTyping speed, accuracy, basic computer skills
Work EnvironmentPrimarily involves scanning hardware and digital platformsComputer-based, various software applications
Industry UsageCommon in healthcare, legal, and administrative sectorsWidespread across multiple industries including retail, finance, and healthcare

Remote Document Scanning Data Entry specializes in digitizing physical documents through scanning and data extraction, while Remote Data Entry Clerk handles a broader range of data input tasks from various sources. Both roles require accuracy and computer skills but differ in their primary functions and tools used.

What are the key skills and qualifications needed to thrive as a remote document scanning data entry professional?

To thrive as a Remote Document Scanning Data Entry professional, you need excellent attention to detail, fast and accurate typing skills, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with document scanning hardware, OCR software, and data management systems like Microsoft Excel or Google Sheets is typically required. Strong organizational skills, self-motivation, and reliability are essential soft skills for working independently and meeting deadlines. These abilities ensure data is accurately captured, organized, and maintained, supporting efficient business operations and data integrity.
What are popular job titles related to Remote Document Scanning Data Entry jobs in Brandon, FL? For Remote Document Scanning Data Entry jobs in Brandon, FL, the most frequently searched job titles are:
What job categories do people searching Remote Document Scanning Data Entry jobs in Brandon, FL look for? The top searched job categories for Remote Document Scanning Data Entry jobs in Brandon, FL are:
What cities near Brandon, FL are hiring for Remote Document Scanning Data Entry jobs? Cities near Brandon, FL with the most Remote Document Scanning Data Entry job openings:

Data Platform Engineer

Worth AI

Tampa, FL โ€ข Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You’ll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.

You’ll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.

Responsibilities

What you’ll do:

  • Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals
  • Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders
  • Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
  • Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions
  • Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
  • Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling
  • Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
  • Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
  • Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
  • Drive automation and standardization through CI/CD, model as a service, and reproducible environments
  • Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Requirements

    • Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
    • Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)
    • Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
    • API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
    • Experience building centralized data platforms or “data-as-a-service” offerings at scale (e.g., at a large tech or cloud-native company)
    • Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
    • Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)
    • Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)
    • Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
    • Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals
    • Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders.

Nice to Have

    • Background supporting machine learning or real-time decisioning use cases from a platform point of view
    • Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)
    • Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection

** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida

Benefits

    • Health Care Plan (Medical, Dental & Vision)
    • Retirement Plan (401k, IRA)
    • Life Insurance
    • Flexible Paid Time Off
    • 9 paid Holidays
    • Family Leave
    • Work From Home
    • Free Food & Snacks (Orlando)
    • Wellness Resources