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Nlp Semantic Search Jobs (NOW HIRING)

Solomon Page

SEO Specialist

West Hollywood, CA · On-site

$45.50/hr

Apply semantic SEO, NLP-driven optimization, and answer-focused content best practices to improve visibility across search engines, AI responses, and answer extraction systems * Support optimization ...

Seismic

Senior Software Engineer - AI Search (Backend)

$125K - $165K/yr

Experience with Natural Language Processing (NLP), semantic search and understanding of text processing techniques is a plus. * SaaS Knowledge: Extensive experience in SaaS application development ...

TSR Consulting

SEO Specialist, Streaming

California, MD · Remote

$40 - $50/hr

Apply semantic SEO, NLP-driven optimization, and answer-focused best practices to improve visibility across search engines, AI responses, and answer extraction systems. * Support optimization for ...

New

TSR Consulting

SEO Specialist, Streaming

California, MD · Remote

$40 - $50/hr

Apply semantic SEO, NLP-driven optimization, and answer-focused best practices to improve visibility across search engines, AI responses, and answer extraction systems. * Support optimization for ...

New

Jobtailor

Lead Engineer, Evidence Management

Raritan, NJ · On-site

$105K - $138K/yr

Define AI-enabled engineering roadmap covering Generative AI, Machine Learning, NLP, semantic search, knowledge graphs, agentic workflows, and intelligent automation * Guide AI proofs-of-concept ...

Technology Service Corporation

Senior AI Engineer

Dahlgren, VA · On-site

$106K - $146K/yr

Practical experience with NLP, semantic search, prompt engineering, and LLMs for enterprise‑scale knowledge graph applications including RAG architectures. * Experience with agentic AI systems and ...

Apple Inc.

$184K - $324K/yr

Develop sophisticated NLP pipelines for intent classification, entity extraction, semantic parsing, and query expansion. * Merge traditional keyword search (BM25) with vector-based semantic search ...

Thomson Reuters

Principal Scientist- Search

New York, NY · On-site

Lead development of retrieval, ranking, semantic search, RAG, and agentic AI capabilities. * Design ... Proven experience delivering search, retrieval, NLP, knowledge graph, recommendation, or Generative ...

THOMSON REUTERS

Principal Scientist- Search

New York, NY · Hybrid

Lead development of retrieval, ranking, semantic search, RAG, and agentic AI capabilities. * Design ... Proven experience delivering search, retrieval, NLP, knowledge graph, recommendation, or Generative ...

Machinify

Staff Data Scientist | NLP

$180K - $230K/yr

Design and train NLP models for tasks like classification, entity extraction, retrieval, summarization, and semantic search * Fine-tune and evaluate LLMs (open-source and API-based); build RAG ...

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Nlp Semantic Search information

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$83.5K

$127K

$171K

How much do nlp semantic search jobs pay per year?

As of Sep 11, 2026, the average yearly pay for nlp semantic search in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is NLP semantic search?

NLP Semantic Search is a technology that uses Natural Language Processing (NLP) to understand the meaning and context of search queries and documents, rather than relying solely on exact keyword matches. This allows search systems to provide more relevant and accurate results by interpreting synonyms, related concepts, and user intent. NLP Semantic Search is commonly used in modern search engines, chatbots, and enterprise knowledge management systems to improve information retrieval and user experience.

What skills and qualifications are needed to thrive as an NLP semantic search engineer?

To thrive as an NLP Semantic Search Engineer, you need a solid background in computer science, natural language processing, and information retrieval, often supported by a degree in a related field. Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and experience with search platforms like Elasticsearch are typically required. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help you design and refine semantic search solutions. These competencies are crucial for building accurate, efficient systems that deliver relevant search results and enhance user experience.

How does an NLP semantic search specialist typically collaborate with data engineers and product teams?

An NLP Semantic Search specialist regularly works with data engineers to ensure access to high-quality, well-structured data necessary for building and refining search models. Collaboration with product teams is also essential, as they help define user requirements and success metrics for semantic search features. This multidisciplinary teamwork helps align technical solutions with business objectives, often involving brainstorming sessions, iterative feedback on prototypes, and ongoing evaluation of search relevance and performance. Clear communication and adaptability are key for seamless integration across these roles.

What other helpful pages are available for Nlp Semantic Search?

Other pages related to Nlp Semantic Search:

Infographic showing various Nlp Semantic Search job openings in the United States as of September 2026, with employment types broken down into 1% Locum Tenens, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

SEO Specialist

West Hollywood, CA • On-site

Solomon Page
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Solomon Pageexternal

$45.50/hr

Contractor

Medical, Dental, Retirement

Posted 17 days ago

Job description

We are hiring an SEO Specialist (Streaming) to join a top entertainment company in Los Angeles, CA. This freelance role will run until June 2027 and will be fully onsite in their LA office.
  • Pay Rate: $45.50/HR
Responsibilities:
  • Conduct keyword, topic, and competitive research to support landing pages, editorial content, title launches, sports events, go-to-market initiatives, and content calendar prioritization
  • Provide SEO guidance for in-product copy, landing page copy, titles, meta descriptions, movie and series descriptions, clip descriptions, headings, image alt attributes, internal links, and content formatting
  • Support the editorial content program through SEO brief generation, brief review, writer feedback, content optimization, and recommendations for updates or revisions
  • Monitor editorial and content performance in Google Search Console and other SEO tools to identify new topics, refresh opportunities, and optimization priorities
  • Serve as a point of contact for editorial, content operations, merchandising, marketing, and localization teams on SEO copywriting and content optimization questions
  • Provide light SEO copy refinement and examples when needed, partnering with copywriting, marketing, brand, and editorial stakeholders to balance SEO best practices with business and brand requirements
  • Make CMS updates and conduct content audits covering HTML titles, meta descriptions, headings, links, image attributes, formatting, semantic keyword usage, natural language question answering, and other on-page SEO elements
  • Support global content SEO initiatives, including multi-language keyword research, international rank tracking, localized content guidance, translation workflows, and coordination with localization partners
  • Define templates, keyword targeting frameworks, and content best practices to scale SEO optimization across markets, languages, and page types
  • Apply semantic SEO, NLP-driven optimization, and answer-focused content best practices to improve visibility across search engines, AI responses, and answer extraction systems
  • Support optimization for Google News, Google Discover, and other content discovery surfaces
  • Help track content visibility, mentions, citations, and performance across LLMs and other AI search surfaces
  • Partner with program marketing, social media, and PR teams to align off-site language with SEO and AI Discovery goals
  • Attend title launch, go-to-market, and sports event stakeholder calls to identify SEO support needs, including new landing pages, supporting copy, and editorial content opportunities
  • Keep pace with SEO, editorial, AI search, content discovery, and digital marketing industry trends and developments

Required Qualifications:
  • 3+ years' experience in content & editorial SEO
  • Experience working on large-scale websites, streaming, entertainment, media, and publishing sites preferred
  • Strong editorial judgment with the ability to balance SEO recommendations, brand voice, audience needs, and business priorities
  • Comfortable managing multiple content requests, stakeholder needs, and optimization workflows
  • A strong communicator who can clearly present content SEO recommendations and performance insights
  • Passion and curiosity for SEO, entertainment, streaming, editorial content, AI Discovery, and the evolving search landscape
  • Strong understanding of content SEO fundamentals, including keyword research, search intent, metadata, headings, internal linking, image optimization, content formatting, and on-page SEO best practices
  • Hands-on experience using Google Search Console to analyze content performance, identify opportunities, and support optimization recommendations
  • Experience conducting keyword research and competitive analysis using tools such as Semrush, Google Trends, Google Search Console, or similar platforms
  • Ability to create and review SEO content briefs, provide actionable feedback to writers, and optimize editorial and landing page content for search performance
  • Familiarity with semantic SEO, NLP-based content optimization, entity-driven SEO, and writing for answer extraction or AI-assisted discovery systems
  • Experience supporting content calendars, topic ideation, content prioritization, and performance-based content updates
  • Comfortable working with editorial, content operations, merchandising, marketing, social media, PR, localization, and analytics teams
  • Experience making content updates in CMS platforms; familiarity with WordPress and Yoast preferred
  • Familiarity with Google News, Google Discover, and content discovery best practices
  • Familiarity with AI Discovery concepts, including LLM citations, AI search visibility, answer engine optimization, and how copy or editorial content can influence mentions and source references
  • Experience supporting international or multi-language SEO preferred, including localized keyword research, rank tracking, translation workflows, and coordination with localization partners
  • Familiarity with Adobe Analytics a plus
  • A second language is a plus, but not required

If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
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