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Remote Data Entry Coding Jobs in Orlando, FL (NOW HIRING)

Worth AI

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/yr

CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Wood Plc

Water Resources Engineer

Orlando, FL · Remote

$73K - $100K/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 ...

SYS Integration

Contact Center Representative

Orlando, FL · Remote

$16.50 - $21.50/hr

This remote Contact Center Representative (CSR) position will be in support of a government agency ... Complete basic data entry in computer terminal related to phone inquiries such as clicking buttons ...

PEOPLEASE

Implementation Specialist

Orlando, FL · Remote

Candidate must be a self-starter with the ability to function as a remote employee working in a ... Perform data entry and file uploads for client and employee records. * Quality check system setups ...

Adecco

Escrow Support Processor

Orlando, FL · Remote

$18.01/hr

... data-entry, and document-processing tasks accurately and efficiently. - Review title, lender ... Remote, M-F; 7 AM - 8:00 PM * Weekly paycheck * Dedicated Onboarding Specialist & Recruiter Access ...

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Remote Data Entry Coding information

See Orlando, FL salary details

$10

$18

$26

How much do remote data entry coding jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote data entry coding in Orlando, FL is $18.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $20.43 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Entry Coding vs Remote Medical Coding?

AspectRemote Data Entry CodingRemote Medical Coding
Required CredentialsBasic data entry skills, sometimes certification in data managementMedical coding certification (e.g., CPC, CCS)
Work EnvironmentHome or office, computer-basedHome or office, computer-based, often in healthcare settings
Industry UsageVarious industries including healthcare, finance, retailPrimarily healthcare industry
Search & Comparison IntentFocus on data entry tasks, less specializedFocus on medical coding, healthcare documentation

Remote Data Entry Coding involves basic data entry tasks across various industries, requiring minimal certifications. Remote Medical Coding is specialized for healthcare, requiring medical coding certifications. While both roles are remote and computer-based, medical coding demands industry-specific knowledge and credentials, making it more specialized than general data entry coding.

What is remote data entry coding?

Remote data entry coding involves entering, updating, and managing data in digital systems from a location outside a traditional office environment. This job typically requires accurately inputting information, such as codes, numbers, or text, into databases or software platforms. Employees often work from home and may handle sensitive data, making attention to detail and confidentiality important. Common industries hiring for these roles include healthcare, finance, and e-commerce. Remote data entry coding jobs usually require basic computer skills, familiarity with relevant software, and reliable internet access.

What are the most common challenges faced in a remote data entry coding role and how can they be managed?

One of the main challenges in a remote data entry coding position is maintaining high accuracy and attention to detail while working independently. Distractions at home and repetitive tasks can sometimes lead to errors or decreased productivity. Setting up a dedicated, quiet workspace and following a structured daily routine can help minimize mistakes. Additionally, staying connected with team members via regular check-ins and using collaboration tools ensures data consistency and timely communication of any issues.

What are the key skills and qualifications needed to thrive as a remote data entry coding specialist?

To thrive as a Remote Data Entry Coding Specialist, you need strong attention to detail, fast and accurate typing skills, and a solid understanding of data management procedures, often supported by a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (such as Microsoft Excel or Google Sheets), and sometimes basic coding or database management systems is typically required. Excellent organizational skills, self-motivation, and effective time management are crucial soft skills for remote work success. These competencies ensure error-free data processing, maintain data integrity, and support efficient workflow in a remote environment.
What are popular job titles related to Remote Data Entry Coding jobs in Orlando, FL? For Remote Data Entry Coding jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Remote Data Entry Coding jobs in Orlando, FL look for? The top searched job categories for Remote Data Entry Coding jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Remote Data Entry Coding jobs? Cities near Orlando, FL with the most Remote Data Entry Coding job openings:
Remote Data Entry Coding jobs near you
Infographic showing various Remote Data Entry Coding job openings in Orlando, FL as of July 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $37,812 per year, or $18.2 per hour.

Data Platform Engineer

Worth AI

Orlando, FL • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 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