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Data Annotation For Ai Jobs in Oregon (NOW HIRING)

phData

OR

Provide delivery oversight for AI/data platforms; ensure execution aligns with agreed strategy; own quality of all engagement outputs and coach project team members on consulting fundamentals and ...

Cotiviti

Senior AI Engineer

$128K - $164K/yr

... annotation pipelines, develop scientifically rigorous ground truth datasets, and train high ... Write clean, maintainable Python code for AI workflows, APIs, and data integration tasks * Assist ...

New

Elite Technology

Group Product Manager, AI and Data

OR · Remote

$171K - $190K/yr

Define and prioritize the roadmap for data platforms, analytics, AI/ML capabilities, and integrations supporting Legal ERP and financial workflows. * Translate complex infrastructure and data ...

Terzo

Data Scientist

OR · On-site +1

Data Scientist - Product Location : US Level : Senior Individual Contributor Team : Engineering ... Strong statistical foundations and the ability to define and evaluate success metrics for AI ...

Intel

Senior AI / Data Science Engineer

Hillsboro, OR

$115K - $156K/yr

Establish best practices for AI model development, software quality, deployment, monitoring, and ... Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield ...

Arize AI

OR · On-site

$150K - $220K/yr

The Team Our team is working to define the "canonical stack" for AI workflows, by solving the ... Experience and/or knowledge of working within machine learning, or data platforms and ...

Atos

Head of AI

OR · On-site +1

... for the AI portfolio across U.S. and Canada. This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery ...

360training

Data Architect Manager

... for AI, analytics, and trusted reporting. This role will help design and deliver a modern cloud data platform, with an emphasis on the Azure ecosystem, while bringing strong experience from modern ...

Atos

Head of AI

OR · On-site +1

... for the AI portfolio across U.S. and Canada. This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery ...

phData

OR · On-site

$92K - $119K/yr

Requirements for Data, AI & GenAI * Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria, including for AI/ML and GenAI features. * Capture ...

Meta

OR

$193K/yr

Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads * Lead root cause analysis and ...

Human Interest

OR

$105K - $143K/yr

You will design for AI consumption, unstructured data access, and integration with AI tooling from the ground up. * Build and scale data pipelines and architectures that make data accessible and ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures * Experience with MLOps such as (but not limited to) data annotation services, data storage ...

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Oregon

Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
What are popular job titles related to Data Annotation For Ai jobs in Oregon? For Data Annotation For Ai jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Annotation For Ai jobs in Oregon look for? The top searched job categories for Data Annotation For Ai jobs in Oregon are:
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Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Delivery Leader, AI & Data Strategy

phData

OR

Full-time

Re-posted 14 days ago

Job description

phData is seeking an AI & Data Strategy Leader to join our Advisory team. You'll work with senior executives to shape AI and data strategy, lead cross-functional teams to deliver on it, and turn capabilities into measurable business outcomes. 

Core Responsibilities

Client Delivery & Execution

  • Lead AI & data strategy engagements end-to-end: problem definition, readiness assessment, use case prioritization, and design of roadmaps and operating models tied to revenue, customer experience, and innovation objectives
  • Own engagement delivery; manage scope and risk, maintain executive-level stakeholder relationships (including C-suite), and facilitate high-impact discovery, prioritization, and "art of the possible" workshops
  • Bridge the gap between business needs and technology: develop balanced technical, organizational, and process recommendations and build compelling narratives and rigorous business cases for AI/data investments
  • Architect future-state AI & data operating models and technology stacks with a focus on safety, scalability, TCO, and regulatory compliance
  • Provide delivery oversight for AI/data platforms; ensure execution aligns with agreed strategy; own quality of all engagement outputs and coach project team members on consulting fundamentals and business impact

Client Leadership & Account Growth

  • Serve as a trusted advisor to day-to-day client sponsors and senior stakeholders,  owning relationships, aligning on delivery roadmaps, and surfacing expansion opportunities
  • Partner with executive sponsors, data and analytics leaders, product and delivery teams, and business end users to ensure seamless execution and measurable outcomes
  • Build cross-practice relationships (Data Engineering, Analytics, AI/ML, Advisory) to design and deliver end-to-end solutions that drive customer success

Thought Leadership & Practice Development

  • Contribute to phData's AI & Data Strategy offerings: methods, frameworks, accelerators, and client-ready collateral
  • Support sales pursuits, client presentations, and thought leadership focused on AI and data strategy
  • Mentor consultants and senior consultants on strategic thinking, executive presence, and delivery quality

Required Qualifications

  • 6+ years as a hands-on AI or data strategy leader, owning strategy engagements and roadmaps
  • 2+ years of consulting leadership with external clients, managing multiple workstreams and teams
  • Proven ability to engage senior stakeholders (including C-suite) and deliver a clear, compelling story behind recommendations
  • Experience identifying and prioritizing AI/data opportunities, designing roadmaps and operating models, and building business cases tied to revenue, cost, risk, and customer experience
  • Strong technical literacy across modern cloud and data platforms, data governance, AI governance, and ML pipelines, and how these connect to business outcomes
  • Experience leading workshops (discovery, prioritization, "art of the possible"), driving change and adoption, and coaching/mentoring consultants and technical leaders
  • Track record collaborating with client stakeholders, partners, and cross-functional teams with high ownership and accountability
  • Extensive experience leading multi-engagement or multi-year AI/data strategy portfolios
  • Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients

Apply