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Data Enrichment Remote Jobs (NOW HIRING)

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... AI-powered data enrichment and inference * Entity resolution and fuzzy matching * Automated ...

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... AI-powered data enrichment and inference * Entity resolution and fuzzy matching * Automated ...

None Potential for Remote Work: ORA_HYBRID Description We are seeking a Data Scientist - Enterprise ... AI-Enabled Data Enrichment: Use approved artificial intelligence and generative AI capabilities ...

Day-to-day, you'll build and own components of our enrichment pipeline: classification workflows ... Incentive Stock Options proportionate to your salary Fully remote, with a NYC co-working space ...

Hate Waste. We support 100% remote work for this role! We'd love to hear from you if: Research ... Partner with Marketing and Sales to provide feed strategy guidance and data enrichment insights.

Build advanced Clay workflows for data enrichment and account research * Implement AI-driven ... Experience working with sales automation or outbound tooling Benefits Fully Remote: Work fro ...

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Data Enrichment Remote information

What is a Data Enrichment Remote job?

A Data Enrichment Remote job involves improving and updating data records by adding relevant information, correcting inaccuracies, and ensuring data quality, all while working from a remote location. Professionals in this role often gather data from various sources, validate it, and enhance existing databases to support business operations and decision-making. This position typically requires attention to detail, research skills, and familiarity with data management tools. Remote data enrichment roles are common in industries like marketing, sales, and e-commerce, where accurate and comprehensive data is essential.

What are some common challenges faced by remote data enrichment specialists, and how can they be addressed?

Remote data enrichment specialists often encounter challenges such as inconsistent data quality, lack of direct communication with team members, and managing large, complex datasets. To address these issues, it's important to establish clear data validation protocols, utilize collaboration tools for ongoing communication, and leverage automation tools to streamline repetitive tasks. Regular check-ins with the team and thorough documentation can also help maintain consistency and ensure project alignment, even when working remotely.

What is the difference between Data Enrichment Remote vs Data Analyst Remote?

AspectData Enrichment RemoteData Analyst Remote
Required CredentialsTypically requires data management, database, or data processing certificationsOften requires a degree in statistics, mathematics, or related fields
Work EnvironmentPrimarily involves data collection, cleaning, and enhancement tasksFocuses on analyzing data, creating reports, and deriving insights
Employer & Industry UsageUsed in marketing, sales, and data-driven industries for improving data qualityCommon in finance, healthcare, and tech sectors for decision support
Search & Comparison IntentPeople compare roles related to data preparation and data analysisPeople look for roles involving data interpretation and reporting

Data Enrichment Remote focuses on enhancing and cleaning data to improve its quality, while Data Analyst Remote involves analyzing data to generate insights. Both roles require strong analytical skills but differ in their core responsibilities and industry applications.

What are the key skills and qualifications needed to thrive as a Data Enrichment Specialist working remotely, and why are they important?

To thrive as a Data Enrichment Specialist in a remote setting, you need strong analytical abilities, attention to detail, and experience with data management—often supported by a bachelor’s degree in a related field. Familiarity with data processing tools such as Microsoft Excel, CRM systems, and sometimes SQL or data visualization platforms is typically required. Outstanding organizational skills, self-motivation, and effective written communication are essential soft skills for remote collaboration and data accuracy. These competencies ensure the efficient handling of large datasets, maintain data integrity, and support business decision-making from a remote environment.
More about Data Enrichment Remote jobs
What cities are hiring for Data Enrichment Remote jobs? Cities with the most Data Enrichment Remote job openings:
What are the most commonly searched types of Data Enrichment jobs? The most popular types of Data Enrichment jobs are:
What states have the most Data Enrichment Remote jobs? States with the most job openings for Data Enrichment Remote jobs include:
Infographic showing various Data Enrichment Remote job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Data Intelligence Lead

NewRocket

OR • Remote

Other

Re-posted 23 days ago


Job description

All applicants must provide a LinkedIn profile with a clear picture of themselves.

AI Data Intelligence Lead

AI Foundry | NewRocket

Location: Remote (Occasional travel as needed)
Reports to: Global AI Center of Excellence Lead

Why Us

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust-AI that delivers lasting business value.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

Role Overview

NewRocket is seeking an AI Data Intelligence Lead to design and build AI-powered capabilities that modernize enterprise data and transform it into AI-ready operational context.

This role focuses on applying machine learning, generative AI, and advanced data engineering techniques to enrich, harmonize, and optimize enterprise data. These capabilities enable agentic AI systems, intelligent automation, and enterprise AI platforms to operate on trusted, contextual, and continuously improving data.

As part of the AI Foundry within NewRocket's AI Center of Excellence, this role will help establish the AI Data Readiness layer of the NewRocket Intelligence Platform, enabling scalable AI deployments across enterprise environments including ServiceNow and other operational platforms.

Key Responsibilities

  • AI Data Intelligence
  • Design and implement AI-driven systems that improve enterprise data quality through:
  • AI-powered data enrichment and inference
  • Entity resolution and fuzzy matching
  • Automated classification and taxonomy generation
  • Anomaly detection and data quality monitoring
  • Achema mapping and data harmonization across datasets
  • AI Data Architecture
  • Design modern data platforms that support AI systems, including:
  • Semantic indexing and embeddings
  • Knowledge graphs and ontology frameworks
  • AI-ready data pipelines and enrichment layers
  • Real-time ingestion and contextualization of enterprise data
  • Integrate AI data intelligence capabilities across enterprise systems such as ServiceNow, ERP, CRM, and operational platforms.
  • AI Data Lineage & Observability
  • Establish enterprise capabilities for:
  • AI data lineage and traceability
  • Data provenance across AI pipelines
  • Observability of data quality and enrichment accuracy
  • Explainability and auditability for AI-driven systems
  • Product & Platform Development
  • Translate data intelligence concepts into scalable capabilities including:
  • Reusable data modernization frameworks
  • AI-powered data enrichment services
  • Internal accelerators and intellectual property
  • Client-ready data intelligence solutions
  • Cross-Team Collaboration

Work across:

  • AI / ML Engineering
  • Data Engineering
  • Data Science
  • Forward Deployed Engineers
  • ServiceNow platform teams to deliver production-ready AI data intelligence systems.

Required Experience

  • 8+ years in data engineering, machine learning, or AI-driven data platforms
  • Experience building AI-powered data pipelines or data intelligence systems
  • Strong background in:
  • enterprise data modeling and architecture
  • large-scale data processing
  • Machine learning applied to data systems
  • Experience with technologies such as:
  • Python
  • ML frameworks
  • vector databases
  • knowledge graphs
  • Modern data platforms (Databricks, Snowflake, etc.)
  • Preferred Experience
  • Experience applying LLMs or generative AI to enterprise data systems
  • Experience with semantic retrieval or RAG architecture
  • Familiarity with ServiceNow data models (CMDB, workflow data, knowledge systems)
  • Experience in integrating AI solutions with ServiceNow or other enterprise workflow platforms
  • Experience building data platforms or reusable AI accelerators

Why This Role Matters

Enterprise AI systems depend on trusted, contextual enterprise data. Without modern data intelligence capabilities, even the most advanced AI platforms fail to deliver reliable outcomes.

This role builds the AI Data Intelligence layer that enables enterprise AI systems, autonomous workflows, and agentic platforms to operate effectively.

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace.We value and celebrate diversity, believing that every employee matters and should be respected and heard.We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status.For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.