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Remote Indexer Jobs in Georgia (NOW HIRING)

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

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 ...

Ditto

$186K - $331K/yr

Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ... Experience with indexing strategies (B-tree, LSM tree, etc.) and general familiarity with query ...

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How much do remote indexer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote indexer in Georgia is $16.24, according to ZipRecruiter salary data. Most workers in this role earn between $12.16 and $21.54 per hour, depending on experience, location, and employer.

What is a remote indexer?

A Remote Indexer is responsible for organizing, tagging, and categorizing data, documents, or digital content to improve searchability and accessibility. This role often involves analyzing information, applying metadata, and ensuring consistency based on specific guidelines. Remote Indexers typically work in industries like publishing, legal services, libraries, or data management. The job requires attention to detail, familiarity with indexing standards, and the ability to work independently from home.

What does a remote indexer do?

A typical day for a Remote Indexer involves reviewing large volumes of digital or physical content, assigning relevant keywords or codes, and entering this data into organizational systems. The role is highly independent, but indexers often collaborate with content managers, librarians, or project leads to clarify criteria and ensure consistency in indexing standards. Regular team check-ins or virtual meetings are common to discuss progress and address specific challenges. Since deadlines and accuracy are critical, effective communication and responsiveness to feedback are important aspects of daily work. Over time, experienced indexers may advance to roles such as lead indexer, metadata specialist, or digital content manager.

What skills and qualifications are needed to be a remote indexer?

To thrive as a Remote Indexer, you need excellent attention to detail, strong data organization skills, and the ability to accurately categorize and summarize diverse information, often supported by a degree in library science or a related field. Familiarity with industry-standard indexing software, databases, and digital content management systems is typically required. Exceptional time management, self-motivation, and clear written communication are important soft skills for success in a remote work environment. These capabilities ensure that information is accurately organized and accessible, supporting efficient retrieval and high-quality data management.

How much do remote indexers get paid?

Remote indexers typically earn between $10 and $20 per hour, depending on experience, the complexity of the indexing tasks, and the employer. Some positions may offer project-based pay or part-time schedules, with pay rates varying accordingly.

What are the most commonly searched types of Indexer jobs in Georgia?

The most popular types of Indexer jobs in Georgia are:

What are popular job titles related to Remote Indexer jobs in Georgia?

For Remote Indexer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Remote Indexer jobs in Georgia look for?

The top searched job categories for Remote Indexer jobs in Georgia are:

Remote Indexer jobs near you
Infographic showing various Remote Indexer job openings in Georgia as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $33,772 per year, or $16.2 per hour.

Data Platform Engineer

Worth AI

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 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