ZipRecruiter

Log In

1

Data Labelling Jobs in Portland, OR (NOW HIRING)

Accenture

Data Protection Consultant

Portland, OR · On-site

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

HiddenLayer

Data Scientist

Portland, OR · Remote

Security problems rarely come with clean labels or clean data. You're able to frame problems, scope them, and make progress without a fully paved path. You'll help highlight ambiguity and reason ...

Iff

Data and Documentation Technician

Clackamas, OR · Hybrid

... labeling * Maintain and manage product master data within SAP and participate in workflows for new ... products and product changes * Partner with crossfunctional stakeholders across Quality Assurance ...

Trident Consulting

Datacenter Technician

Portland, OR · On-site

... data center components and hardware • Hands-on troubleshooting and break-fix experience • Cabling, labeling, cable management, and documentation discipline • Perform rack & stack activities for ...

CYNET SYSTEMS

Datacenter Technician

Portland, OR · On-site

$27/hr

Data Center Operations: * Perform rack & stack of servers, network devices, and storage equipment. * Handle cabling (fiber & copper) including labeling and cable management. * Support installation ...

CYNET SYSTEMS

Datacenter Technician

Portland, OR · On-site

$27/hr

Data Center Operations: * Perform rack & stack of servers, network devices, and storage equipment. * Handle cabling (fiber & copper) including labeling and cable management. * Support installation ...

Autodesk

Senior Manager, Data Security

Portland, OR · On-site +1

$121K - $166K/yr

Deep knowledge of data classification frameworks, sensitive data discovery, and automated tagging and labeling approaches * Experience designing and operating DLP controls across endpoints, network ...

New

Deloitte

Cyber Data Protection Manager

Portland, OR · Remote

$117K - $159K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Jobs for Humanity

Speakers/Writers

Hillsboro, OR

$15 - $60/hr

Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business ...

Jobs for Humanity

Speakers/Writers

Vancouver, WA

$15 - $60/hr

Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business ...

Monrovia

Plant Trials Assistant

Dayton, OR

This role focuses on planting, labeling, tracking, and caring for trial plants while ensuring accurate data collection, inventory management, and overall site organization. The position works closely ...

next page

Showing results 1-20

All JobsData Labelling JobsData Labelling Jobs in Portland, OR

Data Labelling information

See Portland, OR salary details

$48.8K

$175K

$258.2K

How much do data labelling jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data labelling in Portland, OR is $175,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,600.00 and $180,300.00 per year, depending on experience, location, and employer.

What does a data labeler do?

A data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. They use tools and guidelines to ensure accurate labeling, which is essential for developing reliable AI systems. Attention to detail and understanding of the data are important for this role.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can offer flexible schedules and opportunities to develop skills in AI and data management, but typically involves repetitive tasks and lower pay compared to more advanced tech roles.

What is a Data Labelling job?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What is the job description of data labeling?

Data labeling involves annotating or tagging data such as images, text, or videos to help machine learning models understand and learn from the data. The role requires attention to detail, familiarity with labeling tools, and adherence to guidelines to ensure high-quality annotations for AI training. It is often performed remotely and may involve repetitive tasks with a focus on accuracy.

What are the typical daily responsibilities of a Data Labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

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

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools like Labelbox or CVAT and understand data privacy requirements. Basic skills in image, text, or audio annotation are helpful, and some roles may require attention to detail and the ability to follow guidelines. Entry-level positions often provide training, making it accessible for beginners.
What are the most commonly searched types of Data Labelling jobs in Portland, OR? The most popular types of Data Labelling jobs in Portland, OR are:
What are popular job titles related to Data Labelling jobs in Portland, OR? For Data Labelling jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Labelling jobs in Portland, OR look for? The top searched job categories for Data Labelling jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Labelling jobs? Cities near Portland, OR with the most Data Labelling job openings:
Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $175,003 per year, or $84.1 per hour.
Data Center Technician

Data Center Technician

SOLID Personnel

Hillsboro, OR

Full-time

Posted 15 days ago

Job description


About the Role:
A Data Center Technician is responsible for supporting the installation, maintenance, and organization of critical infrastructure inside commercial and hyperscale data centers. This role focuses on structured cabling, rack and stack, equipment installation, and maintaining clean, organized white space environments. Technicians work in mission critical facilities and must adhere to strict safety, security, and quality standards.
Specific Responsibilities:
  • Install, route, and secure copper and fiber optic cabling within data center environments.
  • Perform rack and stack of servers, switches, patch panels, and network equipment.
  • Install and secure ladder rack, basket tray, cable tray, and overhead support systems.
  • Terminate and test CAT5e, CAT6, CAT6A, and fiber optic cables.
  • Perform cable management, dressing, and labeling according to project standards.
  • Read and interpret blueprints, rack elevations, and cable schedules.
  • Assist with equipment mounting, hardware installation, and cabinet buildouts.
  • Support hot aisle and cold aisle containment setup.
  • Maintain cleanliness of white space, electrical rooms, and equipment areas.
  • Follow all site specific safety and security procedures, including badge access protocols.
  • Work from ladders, lifts, and elevated platforms as required.
  • Perform physically demanding tasks including lifting up to 50 pounds and standing for extended periods.
Required Qualifications:
  • Reliable transportation and ability to report to the jobsite on time daily.
  • Valid driver’s license if required for the role.
  • Full PPE including hard hat, safety vest, steel toe boots, gloves, and safety glasses.
  • Basic hand tools and trade specific tools as required.
  • Ability to pass a background check and drug screening.
  • Ability to work in a physically demanding environment, including lifting up to 50 pounds and standing, bending, kneeling, and climbing for extended periods.
  • Ability to follow safety protocols and OSHA guidelines.
  • Strong work ethic, positive attitude, and willingness to take direction.
  • Ability to work independently and as part of a team.
  • Flexibility to work overtime, weekends, or extended shifts as needed.
  • OSHA 10 or OSHA 30 certification preferred
  • Ability to work in secure or badge access environments.

SOLID Personnel is an Equal Opportunity Employer