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Metadata Tagging Jobs in Secaucus, NJ (NOW HIRING)

KPF

Data & Systems Developer Intern

New York, NY · On-site

$22 - $25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... metadata tagging, embedding-ready formatting) * Help maintain vector store data ingestion workflows (uploading documents, refreshing indexes) * Support the team with data tasks related to RAG ...

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All JobsMetadata Tagging JobsMetadata Tagging Jobs in Secaucus, NJ

Metadata Tagging information

See Secaucus, NJ salary details

$62K

$93.5K

$129.1K

How much do metadata tagging jobs pay per year?

As of Aug 14, 2026, the average yearly pay for metadata tagging in Secaucus, NJ is $93,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $101,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a metadata tagging specialist?

To thrive as a Metadata Tagging Specialist, you need a solid understanding of information organization, taxonomy standards, and attention to detail, often supported by a degree in library science, information management, or a related field. Familiarity with metadata management tools, content management systems (CMS), and standards like Dublin Core or schema.org is typically required. Strong analytical thinking, organizational skills, and the ability to communicate clearly with content creators make someone stand out in this role. These skills ensure that digital assets are accurately categorized and easily retrievable, enhancing discoverability and workflow efficiency.

What is metadata tagging?

Metadata tagging is the process of assigning descriptive information, or 'tags,' to digital content to make it easier to organize, search, and retrieve. These tags can include keywords, categories, dates, authors, and other relevant data points. Accurate metadata tagging improves the discoverability of content in databases, websites, and digital libraries, supporting better information management. It's a crucial task for industries dealing with large volumes of digital assets, such as media, publishing, and e-commerce.

What are some common challenges faced by professionals in metadata tagging, and how can they be addressed?

One of the main challenges in metadata tagging is ensuring consistency and accuracy across large volumes of digital assets, especially when multiple team members are involved. Discrepancies can lead to difficulties in asset retrieval and negatively impact workflows. Adopting standardized metadata schemas, using controlled vocabularies, and regularly reviewing tagging practices can help mitigate these issues. Collaboration with content creators and IT teams is also essential to align tagging strategies with organizational goals and technical requirements.
Metadata Tagging jobs near you
Infographic showing various Metadata Tagging job openings in Secaucus, NJ as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $93,520 per year, or $45 per hour.

Data & Systems Developer Intern

KPF

New York, NY • On-site

$22 - $25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

KPF is a global architecture and urban design firm known for its innovative approach to the built environment. We are committed to integrating cutting-edge technology into our design process, and we are building an internal data and systems capability to enhance how we work, collaborate, and deliver world-class architecture.
Role Overview
We are looking for a curious and motivated Data & Systems Developer Intern to join our technology team for a summer or semester engagement. In this role, you will get hands-on experience building data pipelines, working with APIs, developing lightweight internal tools, and supporting the infrastructure that powers KPF's AI systems.
You will work closely with our AI Systems Engineer and Junior Data & Systems Developer, contributing to real projects from day one. This is not a passive internship - you will write real code, work with real data, and build things that are actually used.
You will gain hands-on exposure to AI systems, including large language models, retrieval-augmented generation, vector databases, and agentic tools through direct collaboration with our team. This is a role where you'll build real, marketable AI and data engineering skills on the job.
What You'll Work On
Data Pipelines & Data Management
  • Assist in building and maintaining ETL/ELT data pipelines to collect, transform, and load data from internal and external sources
  • Help clean, validate, and structure data to ensure quality and consistency across systems
  • Write SQL queries to extract, transform, and report on data from relational databases (MSSQL, PostgreSQL, MySQL, or similar)
  • Help document data flows, schemas, and pipeline logic

API Integration
  • Connect to and consume REST APIs to pull and process data
  • Assist in building lightweight Python scripts and integrations to automate data collection workflows
  • Learn to handle authentication, pagination, rate limiting, and error handling in API integrations

Web Development & Internal Tools
  • Contribute to simple internal web applications and dashboards built with Flask or FastAPI
  • Help build basic frontend interfaces (HTML/CSS/JavaScript) to expose data and tools to internal users
  • Collaborate with team members to understand needs and iterate on practical solutions

Cloud & Infrastructure Basics
  • Get hands-on experience deploying on AWS using core services such as EC2, S3, and RDS
  • Learn to containerize applications using Docker
  • Follow best practices for environment configuration and basic security

AI Systems Exposure (Learning Opportunity)
  • Assist in preparing and structuring data for ingestion into AI and LLM pipelines (e.g., document chunking, metadata tagging, embedding-ready formatting)
  • Help maintain vector store data ingestion workflows (uploading documents, refreshing indexes)
  • Support the team with data tasks related to RAG (Retrieval-Augmented Generation) systems
  • Gain exposure to knowledge bases and structured data sources that feed conversational AI tools
  • Assist with testing and validating data quality within AI-powered applications

What We're Looking For
Must-Have
  • Python - basic to intermediate proficiency; comfortable writing scripts and small programs
  • SQL - ability to write queries; some experience with relational databases
  • REST APIs - basic understanding of how APIs work; some experience consuming them
  • Git - basic version control; comfortable committing and collaborating on a shared codebase
  • Currently enrolled in a Bachelor's or Master's program in Computer Science, Information Systems, Data Science, or a related field

Nice-to-Have
  • Any exposure to Flask or FastAPI - even a course project counts
  • Basic familiarity with AWS or any cloud platform
  • Some experience with Docker or containerization concepts
  • Exposure to data visualization tools or libraries (D3, Chart.js, etc.)
  • Basic familiarity with LLMs and AI concepts (embeddings, vector search, RAG)
  • Experience with AI coding tools like Claude Code, Cursor, or GitHub Copilot
  • Interest or background in AEC (Architecture, Engineering & Construction) or creative industries

What We're Looking For in a Candidate
  • Genuinely curious and self-motivated - you explore things on your own and enjoy figuring things out
  • Not afraid to ask questions - we'd rather you ask than guess
  • Comfortable in a small, collaborative team where everyone's contribution matters
  • Detail-oriented - you care about getting things right, not just getting them done
  • Able to communicate clearly with team members, including non-technical colleagues
  • A builder mindset - you get excited about creating things that solve real problems

Pay Range:
$22.00 - $25.00 Hourly
Why KPF?
KPF's mission is to elevate cities through impactful design, collaborating closely with the world's most forward-thinking clients to create high performing, carefully crafted buildings that are unique to their physical, social, and environmental contexts.
  • Career Growth: Opportunities for training, development, and career progression.
  • Company Culture: Collaborative, high-performance environment with a focus on innovation and excellence.
  • Benefits: Comprehensive health insurance, including medical, dental, and vision insurance, 401k with company matching contributions, paid time off and other perks.

To Apply:
Applications submitted without a resume will not be considered.
KPF is an equal opportunity employer.

Apply