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Monday Through Friday Data Annotation Tech Jobs in Portland, OR

CompHealth

Family Practice Physician

Sandy, OR

This role offers a flexible Monday through Friday schedule with a focus on patient contact hours. The position provides an opportunity to practice in a scenic location, serving as the western gateway ...

Tvc

Medical Assistant - Internal Medicine

Vancouver, WA · On-site

$20.59/hr

Monday through Friday, 8:00am to 5:00pm * Columbia Tech Center: Monday through Friday, 8:00am to 5:00pm * Northern Star (Salmon Creek area): Monday through Friday, 8:00am to 5:00pm * Salmon Creek:

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All JobsMonday Through Friday Data Annotation Tech JobsMonday Through Friday Data Annotation Tech Jobs in Portland, OR

Monday Through Friday Data Annotation Tech information

See Portland, OR salary details

$13

$24

$36

How much do monday through friday data annotation tech jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for monday through friday data annotation tech in Portland, OR is $24.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $28.80 per hour, depending on experience, location, and employer.

What does a Monday Through Friday Data Annotation Tech do?

As a Monday Through Friday Data Annotation Tech, you can expect a structured workweek focused on labeling and categorizing large datasets, often using specialized software tools. Your daily responsibilities may include reviewing data for accuracy, following detailed annotation guidelines, and meeting productivity targets. Collaboration is common—techs often communicate with project managers, quality assurance teams, and sometimes developers to clarify requirements or resolve ambiguities in the data. Regular check-ins and feedback sessions help ensure consistency and address any challenges that arise, making teamwork and strong communication skills essential for success in this role.

What is the difference between Monday Through Friday Data Annotation Tech vs Data Labeling Specialist?

AspectMonday Through Friday Data Annotation TechData Labeling Specialist
CredentialsBasic computer skills, training in annotation toolsSimilar credentials, often with training in labeling software
Work EnvironmentOffice or remote, consistent weekday scheduleOffice or remote, similar schedule
Industry UsageCommon in AI/ML companies, tech firmsUsed in AI, autonomous vehicles, healthcare
Job FocusAnnotating data for machine learning modelsLabeling data to train AI systems

Both roles involve data annotation and labeling, often with similar credentials and work environments. The main difference lies in terminology; 'Data Labeling Specialist' is a broader term used across industries, while 'Data Annotation Tech' emphasizes the technical aspect of annotation tools. Both roles typically follow a Monday through Friday schedule and are essential in AI development.

Is Monday Through Friday Data Annotation Tech still hiring?

The availability of Monday Through Friday Data Annotation Tech positions depends on current company needs and job market conditions. These roles are often posted on job boards and may require familiarity with annotation tools and attention to detail. Candidates should check specific company listings for the most up-to-date hiring status.

What skills and qualifications are needed to thrive as a Monday Through Friday Data Annotation Tech?

To thrive as a Data Annotation Tech, you need strong attention to detail, accuracy, and basic computer proficiency, typically supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes spreadsheet software is commonly required. Strong organizational skills, time management, and the ability to work independently or as part of a remote team are valuable soft skills. These abilities ensure precise data preparation, which is crucial for training high-quality machine learning models.

Does a Monday Through Friday Data Annotation Tech actually pay?

A Monday through Friday data annotation technician typically earns an hourly wage that aligns with industry standards, often ranging from minimum wage to higher rates depending on experience and company. Many roles offer consistent schedules and may include remote work, with pay varying by location and skill level.

What is a Monday Through Friday Data Annotation Tech?

A Monday Through Friday Data Annotation Tech is a professional responsible for labeling, tagging, or categorizing data—such as text, images, audio, or video—during regular weekday business hours. This role is crucial for training and improving machine learning and artificial intelligence models, as annotated data helps algorithms learn to recognize patterns accurately. Data annotation techs typically use specialized software to ensure data is labeled correctly and consistently according to project guidelines. Working Monday through Friday often means a standard workweek schedule, providing predictable hours and work-life balance.
What are popular job titles related to Monday Through Friday Data Annotation Tech jobs in Portland, OR? For Monday Through Friday Data Annotation Tech jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Monday Through Friday Data Annotation Tech jobs in Portland, OR look for? The top searched job categories for Monday Through Friday Data Annotation Tech jobs in Portland, OR are:
Monday Through Friday Data Annotation Tech jobs near you
Infographic showing various Monday Through Friday Data Annotation Tech job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $50,387 per year, or $24.2 per hour.

Software Engineer, ML Infrastructure

Serve Robotics

Vancouver, WA • On-site, Remote

$155K - $190K/yr

Full-time

Re-posted 15 days ago

Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.
Responsibilities
  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.
  • Build data discovery features for the platform.
  • Create and maintain search features such as natural language querying
  • Develop and maintain our orchestration and scheduling systems.
  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management
  • Build integrations with annotation providers to efficiently review large scale data preannotations
  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications
  • BS or MS in computer science with focus in data engineering and/or machine learning
  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows
  • Experience building data mining and search capabilities
  • Experience with both Python and SQL is required
  • Solid understanding of data distributions and their impact on ML Models
  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases
  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out
  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)
  • Experience working with Multi Modal data (Lidar, Camera, etc)
  • Experience with robotics systems
  • Experience optimizing large scale vector databases

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