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Data Annotation Engineer Jobs in Oregon (NOW HIRING)

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and ... Experience with MLOps such as (but not limited to) data annotation services, data storage, model ...

Waabi

Senior / Staff Software Engineer, Web Tools

OR · On-site +1

$141K - $249K/yr

... tools, data annotation tools, dataset curation tools, result comparison tools, and more. Qualifications: - Bachelor's degree in Computer Science, Computer Engineering or related engineering ...

Trilon

Your work reduces manual effort in drawing production, annotation, and data extraction, giving engineers meaningful time back on every project. You are responsible for writing production-quality code ...

New

TaskUs

OR · On-site

As a Solutions Engineer with TaskUs, you will serve as the primary technical architect for our most ... data acquisition programs to support high-performance model development. * Precision Annotation ...

HealthEquity

... ready datasets, data labeling/annotation initiatives, feature store enablement, and model ... Bachelor's degree in Business, Computer Science, Engineering, or related discipline or equivalent ...

Automation Anywhere, Inc.

OR

You will partner closely with product, engineering, data science, and platform teams to translate ... Leading efforts in data acquisition and preprocessing, including annotation and refinement of ...

HumanSignal

OR · On-site

Hands-on experience working with data labeling or annotation platforms , and an understanding of how they tie into ML workflows. * Direct experience as a data scientist , ML engineer, or MLOps ...

Nvidia

OR · On-site

$104.40K - $143.40K/yr

Strong software engineering fundamentals - you write clean, tested, reviewable code in Python and C ... calibration, annotation pipelines * Comfort with large-scale data processing (Spark, Dask, or ...

Armada

Mechanical / BIM Designer

OR · Remote

$70.40K - $88K/yr

... and data center projects. This is not intended to be a senior mechanical engineering role. The ... Maintain drawing quality, standards, layering, annotation, title blocks, revision history, and ...

Autodesk

OR

Job Requisition ID # 26WD98667 Position Overview Autodesk's domains - architecture, engineering ... Rather than relying solely on human preference data, we can ground reinforcement learning in the ...

Applause

... annotation schemas, and quality controls to produce gold data sets · Balance quality, cost, and ... product, data science, engineering, and go-to-market teams · Translate complex technical ...

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All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Oregon

Data Annotation Engineer information

See Oregon salary details

$54.5K

$155.9K

$208.3K

How much do data annotation engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for data annotation engineer in Oregon is $155,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $207,200.00 per year, depending on experience, location, and employer.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.
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Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Oregon as of May 2026, with employment types broken down into 4% As Needed, 87% Full Time, and 9% Part Time. Highlights an 5% Physical, and 95% Remote job distribution, with an average salary of $155,908 per year, or $75 per hour.
Product Operations Specialist (Technical + LLM)

Product Operations Specialist (Technical + LLM)

Linda Werner & Associates

Remote

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

About the Role

The Product & Regulatory Operations organization plays a critical role in supporting user and business safety across platforms. This team partners closely with product, engineering, legal, and cross-functional stakeholders to deliver operational excellence for emerging and high-priority initiatives.

As a Technical Product Operations Specialist, you will drive product quality, growth, and operational efficiency through data-driven decision-making, technical tooling, and AI-enabled workflows. This role requires a high degree of autonomy, along with strong technical acumen and product sense to independently execute and scale solutions.

Key Responsibilities

  • Drive execution strategy across multiple products and platforms, including launching 0→1 initiatives, accelerating delivery, and improving quality through technical and programmatic solutions
  • Write and optimize advanced SQL queries to collect, transform, and analyze product data; identify trends and actionable insights
  • Build and maintain dashboards, reports, and visualizations (e.g., Google Sheets or similar tools) to support stakeholder decision-making
  • Leverage AI agents and AI-assisted tools to automate workflows, accelerate analysis, and prototype solutions
  • Identify program risks proactively and develop data-backed mitigation strategies; communicate effectively across cross-functional teams
  • Own end-to-end program management, including planning, execution, risk identification, and cross-team coordination
  • Strengthen cross-functional partnerships and proactively remove blockers to drive execution
  • Support data annotation, labeling, and LLM training initiatives to improve product quality

Minimum Qualifications

  • 8+ years of experience in consulting, strategy, operations, or technical program management, with a focus on product operations
  • Strong proficiency in SQL, including advanced queries (CTEs, joins, aggregations, window functions, transformations)
  • Experience working with AI agents and AI-assisted workflows, including prompt iteration and automation use cases
  • Advanced proficiency in Google Workspace (especially Sheets), including complex formulas, documentation, and workflow automation
  • Experience managing multiple workstreams simultaneously with strong prioritization skills
  • Self-starter with the ability to work independently and drive projects with minimal oversight
  • Strong analytical and critical thinking skills with a data-driven approach to problem solving
  • Proven organizational and time-management capabilities
  • Experience with data annotation/labeling and LLM training workflows

Preferred Qualifications

  • Experience with development tools such as VS Code or similar environments
  • Experience with low-code/no-code prototyping or AI-assisted development
  • Experience building dashboards using tools such as Tableau, Looker, or similar platforms
  • Familiarity with data pipelines, ETL processes, and data infrastructure concepts
  • Experience collaborating with engineering teams on technical requirements and specifications
  • Background in quality assurance, triage operations, or ML/AI validation workflows
  • Experience developing and executing testing strategies (manual and automated) for products and features

Team & Role Context

  • Supports multiple cross-functional teams and products, providing technical operations support across diverse initiatives
  • Requires a balance of technical execution and program management skills
  • Ideal candidates thrive in fast-paced environments and can manage projects from initiation through delivery

Must-Have Skills

  • Deep experience in technical product operations or program management
  • Strong SQL and data analysis capabilities
  • Experience with AI tools and LLM-related workflows, including data annotation and model training support

Nice-to-Have Skills

  • Experience with low-code/no-code or AI-assisted development
  • Understanding of data infrastructure and pipelines
  • Experience with product testing and validation frameworks

Location: Remote

Role type: Contract 6 Month Position

Expected hours: 40 per week

Benefits:

  • Dental insurance
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Retirement plan
  • Vision insurance

Schedule:

  • 8 hour shift
  • Monday to Friday

Language:

  • English (Required)