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Remote Document Indexing Jobs in Washington (NOW HIRING)

VIS IT Solutions Inc

MongoDB Analyst

Dulles, VA · Remote

Remote We are seeking a skilled MongoDB Analyst to manage, analyze, and optimize large-scale NoSQL ... performance through indexing, query optimization, and schema design - Monitor database health ...

Interon IT Solutions

Azure Cosmos DBA

Chantilly, VA · Remote

$65 - $84.75/hr

Remote Contract Type: W2 Long Term Contract Job Overview: We are seeking a highly skilled Azure ... Optimize data modeling, partitioning, indexing , and throughput provisioning strategies. * Monitor ...

SHINE Systems

Cleared Sr. Java Developer

Washington, DC · Remote

$64.50 - $82.25/hr

Migrate and optimize Solr index data during version upgrades * Manage Apache Tomcat application ... Document technical designs, upgrade procedures, and system configurations * Participate in code ...

SHINE Systems

Cleared Sr. Java Developer

Washington, DC · Remote

$64.50 - $82.25/hr

Migrate and optimize Solr index data during version upgrades * Manage Apache Tomcat application ... Document technical designs, upgrade procedures, and system configurations * Participate in code ...

Brillient

Science Disclosure Analyst

Silver Spring, MD · On-site +1

This position is 100% remote. Essential Job Functions: * Applying appropriate FOIA exemptions to ... Prepare documents and Vaughn indices for disclosure-based litigation, as required * Ensure released ...

Mondo

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

Remote (EST/CST Preferred) Start Date Is: ASAP Duration: Permanent Compensation Range: $125,000 ... Maintain migration runbooks, playbooks, and technical documentation. * Participate in Agile ...

Annexa Inc.

DB2 Database Administrator

Washington, DC · Remote

Remote Annexa is currently supporting DC Government's Office of the Chief Technology Officer and ... Tune databases, memory pools, indexes, and storage structures for improved system throughput.

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Remote Document Indexing information

What are some common challenges faced in a remote document indexing role, and how can they be managed?

One of the main challenges in remote document indexing is maintaining focus and accuracy when working independently for extended periods. Distractions at home and the repetitive nature of the tasks can also impact productivity. To manage these challenges, it is helpful to set a structured daily routine, use task management tools, and take regular short breaks. Additionally, staying in regular communication with team members and supervisors helps clarify expectations and resolve any uncertainties quickly.

What is the difference between Remote Document Indexing vs Remote Data Entry?

AspectRemote Document IndexingRemote Data Entry
Primary FocusOrganizing and categorizing documents for easy retrievalInputting data into digital systems
Skills RequiredAttention to detail, document management, basic software knowledgeTyping speed, accuracy, data management
Work EnvironmentHome office, cloud-based document systemsHome office, spreadsheets, databases
Common CertificationsNone typically required, familiarity with document management softwareTyping certifications, data entry skills

Remote Document Indexing involves organizing and categorizing documents for easy access, while Remote Data Entry focuses on inputting data into digital systems. Both roles often require attention to detail and work in similar environments, but they serve different functions within data management processes.

What is remote document indexing?

Remote document indexing is the process of organizing, categorizing, and tagging documents digitally from a remote location. Specialists use software tools to assign metadata, keywords, or classifications to electronic files, making them easier to search and retrieve. This work is commonly performed for businesses with large volumes of documents, such as legal firms, healthcare providers, and financial institutions. Remote document indexers typically work from home and must ensure accuracy, confidentiality, and consistency in their indexing tasks.

What are the key skills and qualifications needed to thrive as a remote document indexing specialist?

To excel in Remote Document Indexing, strong attention to detail, organizational skills, and familiarity with data entry processes are essential, often supported by a high school diploma or equivalent. Familiarity with document management systems, optical character recognition (OCR) tools, and basic office software is typically required. Excellent time management, self-motivation, and clear communication help individuals excel in remote environments. These skills ensure accurate, efficient document processing and reliable information retrieval, which are critical for business operations.
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Remote Document Indexing jobs near you

Generative AI Engineer/Architect-REmote

HRC Global Services

Reston, VA • Remote

Full-time

Re-posted 17 days ago

Job description

We're looking for a Generative Al Engineer to architect and build next-generation Al products powered by large language models (LLMs), agent frameworks, and agentic pipelines. The role emphasizes building reliable, context-aware systems using Model Context Protocol (MCP) to manage and standardize model context, inputs, and tool interactions across agentic workflows.

Key responsibilities

* Design, prototype, and productionize LLM-based features and conversational agents using modern LLM APIs and frameworks.

* Implement and enforce MCP (Model,Context Protocol) patterns to structure prompts, context windows, tool calls, and metadata for consistent multi-turn and cross-tool behavior.

* Build and orchestrate agentic systems (planners, executors, tool chains) that integrate LLMs with external APis, knowledge bases, and tooling.

* Develop retrieval-augmented generation (RAG) pipelines, embeddings, and document indexing; manage vector DB integrations.

* Create evaluation pipelines and prompt engineering experiments; measure hallucination rates, factuality, latency, and

cost.

* Design and implement safety, guardrails, and monitoring: content filtering, adversarial testing, rate limits, and alerting for model failure modes.

* Optimize inference cost and latency across providers and on-prem hosts (quantized models, batching, caching).

* Build CI/CD and reproducible workflows for model versions, prompt artifacts, and MCP schema migrations; document

MCP conventions and laternal best practices.

Required qualifications

* 3+ years ML engineering or applied Al experience, with 1-2+ years working directly with LLMs and generative systems.

* Hands-on experience with LLM APls and agent frameworks (eg, LangChain, Llamaindex, Haystack, or equivalent).

* Practical experience implementing or following a Model Context Protocol (MCP) - structuring context, metadata, prompt templates, tool interfaces, and context stitching across sessions.

* Strona Pvthon engineerina skills: experience buildina production-arade microservices and APIs.