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Ai Data Labeling Jobs in Oregon (NOW HIRING)

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Proven experience with video annotation, data labeling, or similar data-centric annotation projects ... Background in AI training, machine learning data preparation, or robotics projects (strongly ...

Previous exposure to large scale Robotics data curation, annotation, filtering pipelines, including the use of AI models for data labeling. Experience deploying NVIDIA inference technologies (Dynamo ...

Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required. Requirements * Strong attention to detail * Clear written communication skills * Reliable ...

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Ai Data Labeling information

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$11

$47

$108

How much do ai data labeling jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for ai data labeling in Oregon is $47.15, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $69.77 per hour, depending on experience, location, and employer.

What is an AI data labeling?

An AI Data Labeling job involves annotating or tagging data (such as images, text, audio, or video) to train machine learning models. Labelers categorize, classify, or highlight data based on specific guidelines to help AI understand patterns and make accurate predictions. This process is crucial for supervised learning, where models learn from labeled examples. AI Data Labeling jobs are common in industries like healthcare, finance, and autonomous vehicles. Attention to detail and consistency are key skills for success in this role.

What does an AI data labeling do?

As an AI Data Labeling professional, your primary responsibilities include reviewing raw images, audio, or text data and accurately tagging or classifying them based on set guidelines provided by your employer. You may also be required to flag ambiguous cases or data anomalies and provide feedback to improve labeling instructions. Collaboration with data scientists or machine learning engineers is common to ensure your work aligns with project needs. Maintaining high accuracy while meeting productivity goals is essential for success in this role.

What are the key skills and qualifications needed to thrive in AI data labeling?

To thrive as an AI Data Labeling professional, you need strong attention to detail, analytical thinking, and the ability to follow precise guidelines, typically backed by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or internal labeling platforms, as well as basic understanding of data privacy practices, is often required. Patience, reliability, and good communication skills are important soft skills for consistently delivering high-quality labeled datasets and working effectively with team members. These skills ensure accurate data preparation for training AI models, directly impacting the model’s performance and the success of machine learning projects.

What are the most commonly searched types of Ai Data Labeling jobs in Oregon?

The most popular types of Ai Data Labeling jobs in Oregon are:

What are popular job titles related to Ai Data Labeling jobs in Oregon?

For Ai Data Labeling jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Ai Data Labeling jobs in Oregon look for?

The top searched job categories for Ai Data Labeling jobs in Oregon are:

What cities in Oregon are hiring for Ai Data Labeling jobs?

Cities in Oregon with the most Ai Data Labeling job openings:

Infographic showing various Ai Data Labeling job openings in Oregon as of September 2026, with employment types broken down into 78% Full Time, 10% Part Time, 5% Temporary, and 7% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $98,073 per year, or $47.2 per hour.

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

OR • On-site

$50 - $90/hr

Contractor

Posted 9 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.