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Ai Data Annotation Jobs in Remote, OR (NOW HIRING)

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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 ...

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Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred. Availability: Full Time Availability(8 Hrs) and 4 hours overlap with the PST time ...

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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 ...

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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 ...

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Ai Data Annotation information

What is an AI data annotation?

An AI Data Annotation job involves labeling or tagging data, such as text, images, audio, or video, to train machine learning models. Annotators ensure that data is accurately categorized so AI systems can learn to recognize patterns and make predictions. This work is crucial for improving AI applications like self-driving cars, chatbots, and image recognition software. It often requires attention to detail and familiarity with specific annotation tools.

What does an AI data annotation do?

As an AI Data Annotator, your typical day involves labeling and tagging data such as images, audio, or text according to specific project guidelines, often using specialized annotation software. You may work independently or as part of a remote or on-site team, collaborating with data scientists and quality assurance specialists to ensure consistency and accuracy. Regular feedback sessions and quality checks are common to maintain high annotation standards. The role can be repetitive, but attention to detail and clear communication with team members help create datasets that are crucial for training effective AI systems.

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

To excel in AI Data Annotation, you need strong attention to detail, data accuracy, and a basic understanding of data labeling concepts, typically supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, Supervisely, or similar platforms is often required, and some employers may value basic programming or machine learning course certifications. Excellent communication, the ability to follow detailed guidelines, and time management are valuable soft skills in this role. These skills ensure the production of high-quality annotated datasets, which are critical for training reliable AI and machine learning models.

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Infographic showing various Ai Data Annotation job openings in Remote, OR as of August 2026, with employment types broken down into 63% Full Time, 25% Part Time, and 12% Contract. Highlights an 35% In-person, and 65% Remote job distribution.

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

OR • On-site

$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.