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Data Labeling Jobs in Remote, OR (NOW HIRING)

Prointegrate LLC

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AI Video Data Annotator(50-90 USD per hour) Remote, 1000 Openings

OR · On-site

$50 - $90/hr

Utilize video annotation tools and platforms to record structured observations and support data labeling efforts. * Collaborate with project trainers and other contributors to resolve ambiguities and ...

Prointegrate LLC

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Senior Accountant Expert ($58 - $110USD/Hr) Remote Apply using link

OR · Remote

$58 - $110/hr

Support the development and evaluation of data sets for AI training, leveraging your prior experience with human data processes such as data labeling, annotation, or model evaluation. Preferred ...

Prointegrate LLC

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Creative & Design Specialist ($30 - $100USD/Hr)Remote Apply using link

OR · Remote

$30 - $100/hr

Verified, paid Human Data experience for AI training--such as data labeling, annotation, RLHF, AI output evaluation, model evaluation, or rubric-based grading (this is a firm requirement) * Strong ...

New

Prointegrate LLC

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AI Data Annotator (50-90 USD/hr) Remote, 1000 Openings

OR · On-site

$50 - $90/hr

... label videos of robots performing tasks to help them improve. no prior AI experience required. An entirely new category of work is emerging around teaching robots how to interact with the world ...

Urgent

Prointegrate LLC

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Robotics Engineer (Data Annotator 50-90usd/hr remote, Apply using link

OR · On-site

$50 - $90/hr

... label videos of robots performing tasks to help them improve. no prior AI experience required. An entirely new category of work is emerging around teaching robots how to interact with the world ...

Prointegrate LLC

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Graduate Data Annotator, No previous AI need ,50-90 USD/hr Remote

OR · On-site

$50 - $90/hr

... label videos of robots performing tasks to help them improve. no prior AI experience required. An entirely new category of work is emerging around teaching robots how to interact with the world ...

Orenco Systems

Orenco Mfg Tech-North Bank

Sutherlin, OR · On-site

... and labeling. * Uses power tools in a safe manner, maintains equipment, and cleans work area on a ... Uses tablet and computer to enter and retrieve data. * Keeps Lead Technician and Supervisor ...

Orenco Systems

Orenco Mfg Tech-North Bank

Sutherlin, OR · On-site

$18/hr

... and labeling. * Uses power tools in a safe manner, maintains equipment, and cleans work area on a ... Uses tablet and computer to enter and retrieve data. * Keeps Lead Technician and Supervisor ...

Orenco Systems

Orenco Mfg Tech-North Bank

Sutherlin, OR · On-site

Uses tablet and computer to enter and retrieve data.Keeps Lead Technician and Supervisor informed ... Boxes, packages, and labels various finished products in preparation for shipment.Empties shop ...

Orenco Systems

Quality Manager

Sutherlin, OR · On-site

... label verification. Ensure all test reports, inspection records are complete and traceable to each ... Utilize measurement data to develop a continuous improvement quality action plan with a clear ...

Orenco Systems

Quality Manager

Sutherlin, OR · On-site

$115K - $130K/yr

... label verification. Ensure all test reports, inspection records are complete and traceable to each ... Utilize measurement data to develop a continuous improvement quality action plan with a clear ...

Orenco Systems

Quality Manager

Sutherlin, OR · On-site

$115K - $130K/yr

... label verification. Ensure all test reports, inspection records are complete and traceable to each ... Utilize measurement data to develop a continuous improvement quality action plan with a clear ...

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All JobsData Labeling JobsData Labeling Jobs in Remote, OR

Data Labeling information

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 Remote, OR?

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

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

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

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

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

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

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

Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Remote, OR as of August 2026, with employment types broken down into 75% Full Time, 6% Part Time, 7% Temporary, and 12% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

AI Video Data Annotator(50-90 USD per hour) Remote, 1000 Openings

OR • On-site

Prointegrate LLC
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$50 - $90/hr

Contractor

Posted 7 days ago

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Job description

Dear Applicant, Thank you for your interest in Video AI Data Annotation Role (50-90 USD per hour)


(Apply directly using below job link) Only applicants through link will be considered for this fast moving role, sooner you apply chances of getting role are higher.


This role is with Micro1.


Important: If you have already applied or registered with Micro1 for this role, please do not submit a duplicate application.


To be considered for the role, please complete the application using the link below. After submitting your application, please make sure to complete the AI interview as well.


Step 1 — Prepare for the AI Interview


Please review the interview preparation guide before starting the AI interview:


Interview Prep: https://www.micro1.ai/interview-prep


Step 2 — Apply for the Role


Please have your CV and LinkedIn ID ready, then apply using the link below:


Job Application Link — Apply Now:


https://jobs.micro1.ai/post/7dbb09e4-d2d9-4138-ba02-f8a1bc6a71a5?referralCode=dee54f31-3aa4-4464-a2c3-669810631e84&utm_source=referral&utm_medium=share&utm_campaign=job_referral


After applying, please complete the AI interview to proceed with the hiring process.


Important: After applying, watch your registered email for the AI interview invitation. Ideally, complete the interview within 48 hours of applying.


If you are unable to access the application link, please copy and paste the link directly into your browser. If you still have trouble accessing it, let me know and I can share the application link with you via email.


micro1 is engaging expert Video Annotation professionals to contribute to a project focused on reviewing and annotating videos of robotic arms performing designated tasks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This engagement centers on precise video review and annotation according to detailed grading guidelines. High attention to detail and a strong sense of self-organization are essential, and a background in AI training projects is highly preferred.


Scope of Work

  • Review video footage of robotic arms executing assigned tasks to identify key actions and outcomes.
  • Apply detailed grading guidelines to accurately tag and annotate events within the video sessions.
  • Utilize video annotation tools and platforms to record structured observations and support data labeling efforts.
  • Collaborate with project trainers and other contributors to resolve ambiguities and ensure annotation consistency.
  • Document findings and submit annotated datasets in alignment with project standards and milestones.
  • Communicate progress, challenges, and insights promptly using both written and verbal channels as required.
  • Participate in ongoing quality reviews to maintain high annotation standards and address feedback.


Preferred Qualifications

  • Proven experience with video annotation, data labeling, or similar data-centric annotation projects.
  • Exceptional attention to detail and accuracy in reviewing and tagging visual data.
  • Strong written and verbal communication skills for effective collaboration and reporting.
  • Demonstrated time management and self-organization abilities for independent project participation.
  • Familiarity with video annotation tools and software platforms.
  • Background in AI training, machine learning data preparation, or robotics projects (strongly preferred).
  • Analytical and problem-solving mindset, with a proactive approach to resolving annotation challenges.


Best regards,


Recruitment Team,

Prointegrate.