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Remote Ai Data Rater 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 ...

As the Head of Quality, AI Data Operations , you will be responsible for ensuring that the quality ... Lead the quality strategy for remote operations support, ensuring that human intervention data used ...

You will operate as a hybrid Engagement Lead + delivery leader for data and AI programs ... Experience leading remote, multi-geo teams. * Bachelor's degree in IT or a related technical field.

Search Quality Rater

OR ยท Remote

$17.75 - $22.75/hr

... AI data. To put it more plainly, you will provide subjective and objective ratings based on project rules and conventions. Job Title: Search Quality Rater Location: Remote ( Must be based in the ...

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 ...

GCP Manager

Portland, OR ยท On-site +1

... or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Manager on the AI & Data team, you will be responsible for... * Drive solution reviews and ...

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Showing results 1-20

Remote Ai Data Rater information

What is the difference between Remote Ai Data Rater vs Remote Content Moderator?

AspectRemote Ai Data RaterRemote Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOnline, flexible hours, task-basedOnline, flexible hours, task-based
Employer & IndustryTech companies, AI developmentSocial media, online platforms
Search & Comparison IntentData labeling, AI trainingContent review, policy enforcement

Remote Ai Data Raters focus on labeling and annotating data to train AI models, while Remote Content Moderators review user-generated content to enforce platform policies. Both roles require attention to detail and are performed online with flexible hours, but they serve different purposes within the tech industry.

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

To thrive as a Remote AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web-based evaluation platforms and tools, as well as adherence to specific project guidelines, is typically required. Excellent communication, time management, and the ability to work independently are valuable soft skills for this role. These abilities ensure accurate data labeling and evaluation, which are crucial for improving AI system performance.

What are some common challenges faced by Remote AI Data Raters, and how can they be overcome?

Remote AI Data Raters often encounter challenges such as maintaining consistent focus during repetitive tasks and accurately interpreting guidelines that may change depending on project requirements. Effective strategies to overcome these challenges include setting up a distraction-free workspace, taking regular short breaks to reduce fatigue, and actively participating in training sessions or forums provided by employers. Additionally, clear communication with team leads or project managers can help clarify ambiguous instructions and ensure alignment with quality standards.

What are Remote AI Data Raters?

Remote AI Data Raters are professionals who evaluate and annotate data such as text, images, or audio to help improve artificial intelligence systems. They work from home or any remote location, following specific guidelines to assess the relevance, accuracy, and quality of data used to train AI algorithms. Their feedback is crucial for machine learning models to better understand and process human language, visual content, or other data types. This role often requires attention to detail, strong communication skills, and the ability to follow detailed instructions.
What are popular job titles related to Remote Ai Data Rater jobs in Oregon? For Remote Ai Data Rater jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Rater jobs in Oregon look for? The top searched job categories for Remote Ai Data Rater jobs in Oregon are:
What cities in Oregon are hiring for Remote Ai Data Rater jobs? Cities in Oregon with the most Remote Ai Data Rater job openings:
Infographic showing various Remote Ai Data Rater job openings in Oregon as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.
AI Data Intelligence Lead

AI Data Intelligence Lead

NewRocket

OR โ€ข Remote

Other

Posted 3 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 #GoBeyondWorkflowsย 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 contactย hr.in@newrocket.com.