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Data Labeling Jobs in Portland, OR (NOW HIRING)

Install rails, mount equipment, label assets, and ensure proper airflow and cable management ... Partner with Data Center Engineers and Network teams during deployments and migrations. * Adhere ...

Stage hardware, label assets, prepare sites, and execute deployment activities to ensure efficient project delivery. * Conduct inspections, testing, and certifications to validate installation ...

Stage hardware, label assets, prepare sites, and execute deployment activities to ensure efficient project delivery. * Conduct inspections, testing, and certifications to validate installation ...

Stage hardware, label assets, prepare sites, and execute deployment activities to ensure efficient project delivery. * Conduct inspections, testing, and certifications to validate installation ...

Stage hardware, label assets, prepare sites, and execute deployment activities to ensure efficient project delivery. * Conduct inspections, testing, and certifications to validate installation ...

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 ...

The Data Center Technician I is a 24x7x365, market-based position responsible for providing ... Install, label, terminate, test and troubleshoot cabling consistently. * Document CLX entries.

The Data Center Technician I is a 24x7x365, market-based position responsible for providing ... Install, label, terminate, test and troubleshoot cabling consistently. * Document CLX entries.

Data Protection, Manager

Portland, OR · On-site

$150K - $178K/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 ...

Data Center Technician I

Portland, OR · On-site

$20 - $30/hr

Install, label, organize, and troubleshoot copper and fiber cabling. * Replace failed hardware ... Maintain a clean, organized, and secure data center environment. Required Qualifications * 0-2 ...

Data Center Technician I

Portland, OR · On-site

$20 - $30/hr

Install, label, organize, and troubleshoot copper and fiber cabling. * Replace failed hardware ... Maintain a clean, organized, and secure data center environment. Required Qualifications * 0-2 ...

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 ...

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

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management). * Participate in requirements gathering, workshops, and documentation efforts. * Execute assigned tasks ...

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 ...

Showing results 41-60

Data Labeling information

See Portland, OR salary details

$10

$24

$57

How much do data labeling jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data labeling in Portland, OR is $24.48, according to ZipRecruiter salary data. Most workers in this role earn between $16.08 and $28.09 per hour, depending on experience, location, and employer.

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.

What are the most commonly searched types of Data Labeling jobs in Portland, OR?

The most popular types of Data Labeling jobs in Portland, OR are:

What are popular job titles related to Data Labeling jobs in Portland, OR?

For Data Labeling jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Data Labeling jobs in Portland, OR look for?

The top searched job categories for Data Labeling jobs in Portland, OR are:

What cities near Portland, OR are hiring for Data Labeling jobs?

Cities near Portland, OR with the most Data Labeling job openings:

Infographic showing various Data Labeling job openings in Portland, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $50,915 per year, or $24.5 per hour.

Data Center Technician - L2

Vailexa

Hillsboro, OR

Full-time

Posted 26 days ago


Job description

Build More Than Just a Career. Build Your Future.

At Vailexa, we're not just hiring — we're building thinkers, creators, and future leaders.

We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you're someone who wants to learn fast, take ownership, and grow beyond limits, you'll feel right at home here.

Job Description:

  • Perform rack, stack, and cable installation of servers, storage, networking, and GPU systems.
  • Install rails, mount equipment, label assets, and ensure proper airflow and cable management.
  • Connect and verify power, fiber, and copper network cabling
  • Assist with hardware moves, adds, and changes (MACs) across data center floors.
  • Follow detailed deployment runbooks and engineering documentation.
  • Conduct basic hardware validation, LED/port checks, and physical troubleshooting.
  • Maintain accurate asset tracking, labeling, and documentation in internal tools.
  • Partner with Data Center Engineers and Network teams during deployments and migrations.
  • Adhere strictly to ESD, safety, and security protocols.
  • Support decommissioning and removal of end-of-life hardware. Required Qualifications
  • 3+ years of hands-on data center experience performing rack & stack.
  • Strong understanding of:
    • Server and network rack layouts
    • Structured cabling (fiber & copper)
    • Power distribution units (PDUs)
  • Experience installing enterprise servers (Dell, HPE, Supermicro, or equivalent).
  • Ability to read rack elevation diagrams and deployment instructions.
  • Comfortable lifting up to 50 lbs and working in confined rack environments.
  • Familiarity with ESD procedures and safe handling of sensitive hardware.
  • Strong attention to detail and ability to follow precise instructions. Preferred Qualifications
  • Experience working in hyperscale or GPU-dense data centers.
  • Exposure to high-performance computing environments.
  • Knowledge of hot/cold aisle containment best practices.
  • Experience supporting large-scale hardware refreshes or migrations.
  • Basic Linux familiarity (helpful but not required).

Ready to take the next step?

If you're excited about this role and ready to grow with a team that values ambition, ideas, and impact — we'd love to hear from you.