1

Scale Ai Data Labeling Jobs (Flexible Options) in Oregon

Be Seen First

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 ...

New

Be Seen First

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 ...

New

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 ...

Reporting to the Chief Product Officer, this leader will help scale Pacvue's global AI and Data Science organization as we continue to evolve into an AI-first commerce media platform across retail ...

We are seeking a candidate who can lead the planning and deployment of large scale AI data centers, focusing on infrastructure buildout including power and cooling systems, telemetry and control ...

Senior AI / Data Science Engineer

Hillsboro, OR · On-site

$115K - $156K/yr

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root ...

Senior AI Product Manager, Observability

OR · On-site +1

$200K - $250K/yr

... scale. Working with this team is an opportunity to develop further as a PM leader in a rapidly growing space by collaborating with some of the best in class AI Engineers and Data Scientists in the ...

Designing and optimizing large-scale AI clusters across GPU compute, high-performance networking ... Experience optimizing storage and data pipelines to sustain high-throughput training and inference ...

$63.75 - $82/hr

Cheesecake Labs is an AI, data, and product engineering partner for established and scaling organizations navigating legacy systems, fragmented data, AI pressure, or limited engineering capacity. Our ...

Senior Software Engineer, DGX Cloud AI Infrastructure

OR · On-site +1

$122K - $161K/yr

Analyze scaling efficiency for distributed LLM workloads using data, tensor, pipeline, and expert ... Expertise debugging and triaging AI applications across the full stack - from the application layer ...

Senior Software Engineer, DGX Cloud AI Infrastructure

OR · On-site +1

$122K - $161K/yr

Analyze scaling efficiency for distributed LLM workloads using data, tensor, pipeline, and expert ... Expertise debugging and triaging AI applications across the full stack - from the application layer ...

Shelby is a high-performance object storage platform with a global namespace, purpose-built for AI and large-scale, data-intensive workloads. It enables organizations to store data once and access it ...

next page

Showing results 1-20

Scale Ai Data Labeling information

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

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

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

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

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

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

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

Prointegrate LLC

OR • On-site

$50 - $90/hr

Contractor

Posted 3 days ago

New

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.


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.