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Remote Ai Data Collection Jobs in Oregon (NOW HIRING)

AI Data Intelligence Lead AI Foundry | NewRocket Location ... Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ...

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

You will operate as a Program Manager for data and AI programs, accountable for both execution and ... Experience leading remote, multi-geo teams. * Bachelor's degree in IT or a related technical field.

... with modern AI techniques, including large language models (LLMs) and retrieval-augmented ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Minimum Qualifications * 3-5 years of experience with HMDA and CRA data collection, reporting, or ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Focused on AI, data, and advanced analytics consulting, you'll identify high-value opportunities ... This fully remote role is supported by an Atlanta-based team and requires at least 25% or more ...

Market Operations Research Analyst

Portland, OR · Remote

$104K - $123K/yr

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

New

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

Remote worker with ability to read and write in Spanish and medical records. Under the direction of ... Provides data collection and report development support for Quality Improvement studies and ...

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Remote Ai Data Collection information

What are the key skills and qualifications needed to thrive as a Remote AI Data Collection Specialist, and why are they important?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are some common challenges faced in a Remote AI Data Collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.
What are the most commonly searched types of Ai Data Collection jobs in Oregon? The most popular types of Ai Data Collection jobs in Oregon are:
What are popular job titles related to Remote Ai Data Collection jobs in Oregon? For Remote Ai Data Collection jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Collection jobs in Oregon look for? The top searched job categories for Remote Ai Data Collection jobs in Oregon are:
What cities in Oregon are hiring for Remote Ai Data Collection jobs? Cities in Oregon with the most Remote Ai Data Collection job openings:
Infographic showing various Remote Ai Data Collection job openings in Oregon as of July 2026, with employment types broken down into 5% Internship, 68% Full Time, 18% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.
AI Data Intelligence Lead

AI Data Intelligence Lead

NewRocket

OR • Remote

Other

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.