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Remote Indexing Jobs in Washington (NOW HIRING)

Yudrio, Inc

SQL Developer

Arlington, VA · Remote

$52 - $71.25/hr

Remote Required Skills * Experience in PL/PGSQL, SQL code development and maintenance * Experience ... Knowledge of database design, query optimization, index management, integrity checks * Familiarity ...

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Remote Indexing information

What are the typical daily responsibilities of a Remote Indexing professional?

Remote Indexing professionals spend their days reviewing documents, digital files, or other forms of content and systematically organizing them using predefined indexing criteria or taxonomies. They create detailed records, assign metadata or keywords, and ensure all information is accurately entered and easily retrievable within a database or content management system. Collaboration may occur with data managers, librarians, or other indexing professionals, usually via virtual meetings and messaging platforms. Staying organized and maintaining consistent quality standards are key to succeeding in this independent, remote role.

What are the key skills and qualifications needed to thrive in the Remote Indexing position, and why are they important?

To thrive as a Remote Indexing professional, you typically need attention to detail, strong organizational abilities, and familiarity with database or content management systems, often supported by experience in library science, information management, or related fields. Proficiency in using tools such as Microsoft Excel, specialized indexing software, and electronic document management systems is essential. Excellent time management, self-motivation, and strong written communication skills help individuals excel in this remote, independent work setting. These skills ensure that information is accurately organized and accessible, supporting efficient workflows and high-quality data access for clients or organizations.

What is a Remote Indexing job?

A Remote Indexing job involves organizing, categorizing, and labeling data or documents to make them easily searchable and accessible. It often includes tasks such as tagging files, inputting metadata, or structuring digital archives. This job is typically done from home using specialized software or databases. Employers may require attention to detail, typing skills, and familiarity with specific indexing systems. Remote Indexing is common in industries like healthcare, legal, and data management.

What are popular job titles related to Remote Indexing jobs in Washington? For Remote Indexing jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Indexing jobs in Washington look for? The top searched job categories for Remote Indexing jobs in Washington are:
What cities in Washington are hiring for Remote Indexing jobs? Cities in Washington with the most Remote Indexing job openings:
Remote Indexing jobs near you
Lead Search and AI Engineer

Lead Search and AI Engineer

Electric Power Research Institute, Inc.

Washington, DC • On-site, Remote

$145K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Title:
Lead Search and AI Engineer
Location:
Remote/Home Based
Job Summary and Description:
The Lead AI Engineer is to design, implement, and support AI-driven document processing, retrieval, and search solutions using Azure AI Search, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Query Orchestration, Prompt Engineering, and Kubernetes-based container deployments.
Key Responsibilities
  • Architect & Deploy AI Solutions: Build AI-driven search and document intelligence systems using Azure AI Search, Knowledge Graphs, and RAG techniques.
  • Query Orchestration: Develop strategies to route and structure user queries efficiently across multiple retrieval systems.
  • RAG-Based Applications: Implement and fine-tune applications for intelligent knowledge retrieval from structured and unstructured documents.
  • Containerized Deployments: Deploy and manage AI applications using Azure Kubernetes Service (AKS) for scalability.
  • Vector Search Optimization: Enhance document retrieval through optimized embeddings and hybrid search techniques.
  • Open-Source Integration: Utilize tools like Tesseract OCR, PyMuPDF, and Pillow for document processing.
  • API Integration: Connect with Profile APIs, Product Metadata, and Downloads to enrich indexing and search capabilities.
  • Compliance & Security: Ensure adherence to export control restrictions and secure document handling best practices.
  • Monitoring & Optimization: Troubleshoot and optimize AI-based workflows for performance and reliability.
  • Stakeholder Collaboration: Work closely with business and technical teams to refine AI-powered document solutions.
Required Skills & Experience
  • Bachelors or Masters Degree in Computer Science or related areas, applicable professional certification with 7+ years of progressive experience providing solutions to complex program/system problems in a business environment in
  • 5+ years in AI/ML, cloud-based search, and document processing.
  • Expertise in Query Orchestration for complex AI pipelines.
  • Strong knowledge of RAG architectures for AI-powered search.
  • Hands-on experience with Azure AI Search, Document Intelligence, and Cognitive Services.
  • Proficiency in vector search, embeddings, and hybrid retrieval techniques.
  • Experience with Kubernetes (AKS) and containerized deployments.
  • Familiarity with Tesseract OCR, PyMuPDF, and Pillow.
  • Strong Python development skills for AI pipelines.
Specialized Expertise
Search & RAG
  • Semantic, BM25, similar ranking and vector search optimization.
  • Custom scoring profiles and relevance tuning.
  • Evaluation metrics (nDCG, MRR, precision@k).
  • Query rewriting, synonym maps, and semantic expansion.
  • Integration with RAG and LLM pipelines for optimized context retrieval.
Prompt Engineering
  • Systematic prompt design and evaluation.
  • RAG-oriented prompting with grounding and guardrails.
  • Instruction hierarchies and multi-agent orchestration.
  • Domain adaptation for EPRI's technical language.
  • Continuous improvement through telemetry and quality analysis.
Preferred Qualifications
  • Experience with hybrid cloud AI solutions (on-prem + cloud).
  • Familiarity with Azure OpenAI, LangChain, or AI Foundry.
  • Deep knowledge of multi-index query orchestration.
  • Expertise in Azure AI search semantic and vector profiling.
  • Expertise in vector other databases such as (FAISS, Weaviate, Pinecone).
  • Background in NLP, document classification, and entity extraction.
  • Understanding of export control compliance and secure document handling.

The salary range for this position is $145,000 USD to $175,000 USD annually.
This salary range is an estimate, and the actual salary may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.
This role is eligible to participate in EPRI's annual incentive program. The amount of incentive varies and is subject to the terms and conditions of the plan.
This role is eligible to participate in EPRI's standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, STD/LTD and paid family leave, life and accident insurance, paid time off (flexible vacation, sick leave, and holiday pay).
EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.
EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled
Together . . . Shaping the Future of Energy.
www.epri.com

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