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Remote Data Entry Work Jobs in Altamonte Springs, FL

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... 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

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Adecco

Escrow Support Processor

Orlando, FL · Remote

$18.01/hr

... an Remote work schedule. This is an excellent opportunity to join a winning culture and get your ... data-entry, and document-processing tasks accurately and efficiently. - Review title, lender ...

New

micro1 AI

Cheminformatics Specialist - Remote

Deltona, FL · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

micro1 AI

Cheminformatics Specialist - Remote

Orlando, FL · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

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All JobsData Entry Work JobsRemote Data Entry Work JobsRemote Data Entry Work Jobs in Altamonte Springs, FL

Remote Data Entry Work information

See Altamonte Springs, FL salary details

$10

$18

$26

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

As of Aug 8, 2026, the average hourly pay for remote data entry work in Altamonte Springs, FL is $18.20, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $20.43 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data entry worker, and why are they important?

To excel in remote data entry work, strong typing skills, attention to detail, and familiarity with data management are essential, usually supported by a high school diploma or equivalent. Proficiency with spreadsheet software like Microsoft Excel, cloud-based databases, and data entry systems is typically required. Reliability, self-motivation, and effective communication help remote data entry professionals stand out. These skills ensure accuracy, efficiency, and accountability when handling sensitive or high-volume information from a remote setting.

What is the difference between Remote Data Entry Work vs Remote Data Entry Clerk?

AspectRemote Data Entry WorkRemote Data Entry Clerk
CredentialsBasic computer skills, typing proficiencyBasic computer skills, typing proficiency
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageFreelance, online platformsCompany-specific, administrative roles
Search IntentFreelance, part-time, flexible jobsFull-time, entry-level administrative roles

Both Remote Data Entry Work and Remote Data Entry Clerk involve similar skills and work environments, primarily focusing on data input tasks from home. The main difference lies in the context: Remote Data Entry Work often refers to freelance or gig opportunities, while Remote Data Entry Clerk typically describes employed roles within organizations. Understanding these distinctions helps job seekers find roles that match their skills and preferences.

What is remote data entry work?

Remote data entry work involves inputting, updating, or managing data using a computer from a location outside of a traditional office, such as from home. Typical tasks may include entering information into databases, spreadsheets, or online systems, as well as verifying and correcting data for accuracy. This job is suitable for individuals who are detail-oriented, comfortable with computers, and able to work independently. Many companies hire remote data entry workers either as employees or independent contractors, offering flexibility in work hours and location.

What are some common challenges faced in remote data entry work, and how can I overcome them?

Remote data entry professionals often encounter challenges such as maintaining focus in a home environment, managing time effectively, and ensuring data accuracy without direct supervision. To overcome these, establish a dedicated and distraction-free workspace, set clear daily goals, and use productivity tools to stay organized. Regularly double-checking your entries and maintaining open communication with your team or supervisor can also help ensure high-quality work and meet deadlines consistently.

What are remote jobs for data entry work?

Remote data entry work involves entering information in a database or other information system. You typically work from home and type on your computer. The duties and responsibilities of a virtual data entry worker can vary slightly depending on the details of the job. Some employers need you to do transcription work, while others ask you to enter information on a worksheet or other document, such as a Microsoft Excel spreadsheet. In some positions, you may actually select the relevant data for inclusion in the database, and you may use the data to create reports.

More about Remote Data Entry Work jobs
What are popular job titles related to Remote Data Entry Work jobs in Altamonte Springs, FL? For Remote Data Entry Work jobs in Altamonte Springs, FL, the most frequently searched job titles are:
What job categories do people searching Remote Data Entry Work jobs in Altamonte Springs, FL look for? The top searched job categories for Remote Data Entry Work jobs in Altamonte Springs, FL are:
What cities near Altamonte Springs, FL are hiring for Remote Data Entry Work jobs? Cities near Altamonte Springs, FL with the most Remote Data Entry Work job openings:
Remote Data Entry Work jobs near you
Infographic showing various Remote Data Entry Work job openings in Altamonte Springs, FL as of July 2026, with employment types broken down into 3% Internship, 80% Full Time, 13% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $37,862 per year, or $18.2 per hour.

Data Platform Engineer

Worth AI

Orlando, FL • On-site, Remote

$106K - $128K/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

Apply