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Data Annotation For Ai Jobs in Oregon (NOW HIRING)

Slalom Consulting

General Information

Portland, OR · On-site

$91K - $115K/yr

... data and AI practitioners, finance leaders, engineering teams, product owners, and client executives to help organizations build practical FinOps capabilities for AI-enabled environments. You'll ...

InvoiceCloud

OR · On-site

Conducts structured Threat Modeling & Risk Assessment exercises for generative AI, RAG, and agent-based systems, evaluating risks such as prompt injection, data poisoning, model extraction, model ...

Aptive

$63.75 - $82/hr

... for access to VA systems and sensitive Veterans' data; active clearance or prior VA/federal ... AI/ML systems that handle Protected Health Information (PHI) and Personally Identifiable ...

Rithum LinkedIn Board

OR · On-site

Define and enforce security requirements for AI-powered features: model access controls, prompt-injection mitigations, output validation, and data-handling boundaries. * Conduct threat modelling on ...

Rithum

OR · On-site

Define and enforce security requirements for AI-powered features: model access controls, prompt-injection mitigations, output validation, and data-handling boundaries. * Conduct threat modelling on ...

RXinsider LTD.

Data Architect (Data Platform)

Portland, OR · On-site

$150 - $190/hr

Define and evolve data architectures that support AI/ML workloads, including curated training datasets, feature stores, and scalable pipelines for batch and real-time inference * Define and evolve ...

Elite Technology

AI Technology Lead

OR · On-site +1

$202K - $225K/yr

Position Overview This role is designed for an AI-fluent individual contributor who helps shape how ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related ...

New

Waabi

Senior / Staff Software Engineer, Web Tools

OR · On-site +1

$141K - $249K/yr

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next ... tools, data annotation tools, dataset curation tools, result comparison tools, and more.

Cyber74

OR · On-site

$110K - $130K/yr

What makes us different and why is this the right team for you? Find out.( Please note: Every ... Configure and tune Data Loss Prevention (DLP) policies to prevent sensitive data exposure through ...

Leatherman

AI Governance Lead

Portland, OR

For more than 40 years, we've earned that trust through thoughtful design, uncompromising quality ... and data; this role ensures AI is used effectively and responsibly. * Partner with Legal on ...

Leatherman Tools

AI Governance Lead

Portland, OR · On-site

For more than 40 years, we've earned that trust through thoughtful design, uncompromising quality ... and data; this role ensures AI is used effectively and responsibly. * Partner with Legal on ...

LTS

Senior AI Identity Platform Engineer

OR · Remote

$104K - $143K/yr

The platform is designed for deployment across federal enterprise environments and is being ... Build fine-grained authorization models controlling AI access to enterprise data, APIs, tools, and ...

Vista Equity Partners Management

$200K - $315K/yr

Define standards for AI model development, deployment, monitoring, and governance, including data privacy, model provenance, and audit trails for agent decision-making. AI Innovation & Strategy

Cheesecake Labs

$63.75 - $82/hr

We're usually brought in when companies are scaling their data operations, modernizing infrastructure, connecting fragmented systems, or preparing their platforms for AI-driven products and analytics.

New

New Charter Technologies LLC

OR · On-site

$110K - $130K/yr

Design, implement, and manage security controls for AI platforms and cloud environments used by ... Configure and tune Data Loss Prevention (DLP) policies to prevent sensitive data exposure through ...

Five9

OR · On-site

This team is responsible for research, experimentation, data collection and curation, and data analysis that contributes to the performance of Five9's AI products. Tasks include evaluation of and ...

Talivity

$40 - $60/hr

Analyze workflow data to identify opportunities for AI-driven efficiency and improved decision-making. * Support pilots, proof-of-concepts, and full-scale implementations of AI solutions. * Stay ...

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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:
What cities in Oregon are hiring for Data Annotation For Ai jobs? Cities in Oregon with the most Data Annotation For Ai job openings:
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.

General Information

Slalom Consulting

Portland, OR • On-site

$91K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago

Job description

Description and Requirements
Job Description
Who You'll Work With
You'll join a consulting team that helps clients manage, optimize, and govern the financial value of cloud, AI, and data investments. You'll work alongside FinOps strategists, cloud architects, data and AI practitioners, finance leaders, engineering teams, product owners, and client executives to help organizations build practical FinOps capabilities for AI-enabled environments.
You'll support clients who are adopting or scaling AI solutions, including generative AI, machine learning platforms, AI-enabled applications, data platforms, and cloud-native services. Your work will help clients improve cost transparency, strengthen accountability, optimize usage, and connect AI investments to measurable business outcomes.
What You'll Do
  • As a FinOps for AI Practitioner Consultant, you will help clients apply FinOps principles to cloud and AI investments, with a focus on visibility, accountability, optimization, and value realization.
  • Assess client cloud, AI, and data cost management practices, identifying maturity gaps, risks, and opportunities.
  • Help design and implement FinOps operating models, governance processes, reporting structures, and decision frameworks.
  • Analyze cloud, AI, and platform consumption patterns to identify cost drivers, optimization opportunities, and value improvement levers.
  • Support AI-specific FinOps use cases, including model usage tracking, token and inference cost analysis, GPU and accelerator cost management, experimentation controls, chargeback/showback, and AI unit economics.
  • Partner with engineering, product, finance, and business stakeholders to connect technical consumption data to business value.
  • Develop dashboards, reports, and executive-ready insights that explain cost, usage, performance, and value trends.
  • Help clients define KPIs, tagging standards, allocation models, budgets, forecasts, and anomaly management processes.
  • Facilitate workshops with client stakeholders to align on FinOps practices, roles, responsibilities, and adoption roadmaps.
  • Support optimization initiatives across cloud infrastructure, AI platforms, data workloads, vendor services, and usage patterns.
  • Translate FinOps Foundation frameworks and best practices into practical recommendations tailored to each client's environment.
  • Contribute to consulting offerings, reusable assets, playbooks, accelerators, and thought leadership related to FinOps for AI.
  • Stay current with emerging FinOps for AI and Tokenomics practices, pricing models, optimization techniques, and the FinOps Foundation framework.

What You'll Bring
  • You have 3+ years' experience supporting FinOps, cloud cost management, cloud governance, technology finance, IT financial management, or related consulting work.
  • Understanding FinOps principles, including cost visibility, allocation, budgeting, forecasting, optimization, accountability, and value management.
  • Familiarity with public cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
  • Awareness of AI, machine learning, generative AI, data platforms, and AI-enabled application architectures.
  • Strong understanding of AI cost drivers and architecture patterns, including token-based pricing, GPU utilization, inference costs, model hosting, caching, vector databases, Retrieval-Augmented Generation (RAG), Cache-Augmented Generation (CAG), prompt engineering, model routing, and how these choices impact cost, performance, scalability, and business value.
  • Ability to analyze usage, cost, and performance data to identify trends, risks, and opportunities.
  • Knowledge of cloud billing, cost allocation, and usage data structures, including an understanding of the FOCUS format and its role in normalizing cloud cost and usage data across providers and tools.
  • Ability to work with normalized cost and usage datasets to support reporting, allocation, unit economics, forecasting, and optimization analysis.
  • Strong communication skills, with the ability to explain technical and financial concepts to executive, finance, engineering, and product audiences.
  • Experience creating client-facing deliverables such as assessments, roadmaps, business cases, dashboards, executive summaries, and operating model recommendations.
  • Comfort facilitating stakeholder conversations, workshops, and working sessions.
  • Ability to work in ambiguous environments and structure complex problems into clear recommendations.
  • A practical, outcome-oriented mindset focused on helping clients improve financial accountability and business value from technology investments.

Preferred Experience
  • FinOps Foundation certification, especially:
    • FinOps Certified Practitioner
    • FinOps Certified AI Value
  • Experience working with the FOCUS format or other cloud cost and usage data standards to normalize, analyze, and report on multi-cloud or multi-platform spend.
  • Experience mapping native billing exports from AWS, Azure, Google Cloud, SaaS platforms, AI platforms, or third-party FinOps tools into standardized cost and usage models.
  • Experience with cloud cost management tools or native billing platforms, such as AWS Cost Explorer, AWS CUR, Azure Cost Management, Google Cloud Billing, CloudHealth, Apptio Cloudability, Flexera, Harness, or similar platforms.
  • Experience with AI or GenAI cost management, including token consumption, model selection, inference costs, GPU utilization, prompt/application cost attribution, or AI value tracking.
  • Experience designing showback, chargeback, unit cost, or cost allocation models.
  • Experience developing FinOps dashboards using tools such as Power BI, Tableau, Looker, Excel, or cloud-native reporting tools.
  • Experience working with engineering teams on optimization efforts such as rightsizing, reserved capacity, savings plans, workload scheduling, storage optimization, model efficiency, or platform governance.
  • Knowledge of AI platforms and services such as Azure OpenAI, Amazon Bedrock, Google Vertex AI, OpenAI APIs, Databricks, Snowflake, or Kubernetes-based AI workloads.
  • Consulting experience in cloud transformation, data and AI strategy, platform modernization, technology operating models, or enterprise cost optimization.
  • Experience helping organizations establish FinOps teams, governance forums, policies, standards, and adoption roadmaps.
  • Familiarity with responsible AI, AI governance, data governance, or risk management practices.

About Us
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.
What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That's why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.
Compensation and Benefits
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
Slalom is committed to fair and equitable compensation practices. For this role, the targeted base salary pay range is $133,000 to $163,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
We will accept applicants until July 24, 2026, or until the position is filled.
We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.
EEO and Accommodations
Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact accomodationrequest@slalom.com if you require accommodations during the interview process.

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