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Ai Training For Physics Jobs in Remote, OR (NOW HIRING)

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Demonstrated time management and self-organization abilities for independent project participation. * Familiarity with video annotation tools and software platforms. * Background in AI training ...

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Demonstrated time management and self-organization abilities for independent project participation. * Familiarity with video annotation tools and software platforms. * Background in AI training ...

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... for high-impact AI training and evaluation projects. You'll apply your consulting toolkit, structured problem solving, business analysis, and sharp written communication, to evaluate how AI models ...

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Evaluate and annotate tax-related documents and workflows to establish rubrics and best practices for AI training purposes. * Deliver input and recommendations on income tax preparation and filing ...

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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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Head of AI

OR · Remote

Lead the delivery team for AI across NA including building and managing talent and ensuring ... Upskill broader delivery teams through training programs, communities of practice, and internal ...

Head of AI

OR · On-site +1

Lead the delivery team for AI across NA including building and managing talent and ensuring ... Upskill broader delivery teams through training programs, communities of practice, and internal ...

Travel regularly to customer sites across the United States for workshops, deployments, training ... Experience working with AI systems, LLMs, AI agents, or agentic workflows * Experience working ...

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Sales Representative

OR · Remote

$36K - $124K/yr

Training and onboarding. * Step-by-step guidance through our sales process. * Access to the systems and tools needed for the role. * Ongoing support from the AP-AI team. * Opportunity to develop real ...

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Sales Representative

OR · Remote

$36K - $124K/yr

Training and onboarding. * Step-by-step guidance through our sales process. * Access to the systems and tools needed for the role. * Ongoing support from the AP-AI team. * Opportunity to develop real ...

New

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Sales Representative

OR · Remote

$36K - $124K/yr

Training and onboarding. * Step-by-step guidance through our sales process. * Access to the systems and tools needed for the role. * Ongoing support from the AP-AI team. * Opportunity to develop real ...

New

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... for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI ...

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This is a non-technical AI role. The position does not involve AI development, programming, or ... Experience creating user guides, presentations, communications, training materials, or similar ...

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Ai Training For Physics information

See Remote, OR salary details

$5

$20

$25

How much do ai training for physics jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ai training for physics in Remote, OR is $20.04, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.43 per hour, depending on experience, location, and employer.

What is an AI training for physics?

An AI Training for Physics job involves developing, curating, and refining datasets to improve AI models used in physics research and applications. Professionals in this role ensure the accuracy and relevance of data, train machine learning models, and validate their performance in solving physics-related problems. This job often requires a strong background in physics, programming, and AI techniques. It can be applied in areas such as simulations, automated research, and scientific discovery.

What are the typical responsibilities of someone working in AI training for physics?

Professionals in AI Training for Physics are responsible for curating and preparing high-quality datasets, designing and implementing machine learning models tailored to physics problems, and validating the performance of these models against experimental data or simulations. They often collaborate closely with physicists, data scientists, and software engineers to ensure accurate scientific representation within AI models. Daily tasks may include cleaning data, labeling or annotating data points, running experiments, troubleshooting model errors, and documenting results for ongoing research and development. This role provides opportunities to drive innovation at the intersection of AI and scientific discovery, and can serve as a pathway to more senior positions in research or AI engineering.

What are the key skills and qualifications needed to thrive in the AI training for physics position, and why are they important?

To excel in an AI Training for Physics role, candidates need a strong background in physics, expertise in machine learning principles, and programming skills, generally supported by an advanced degree in physics, data science, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and data annotation platforms is frequently required, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and clear communication are essential soft skills for interpreting complex scientific data and collaborating with multidisciplinary teams. These qualifications are crucial to effectively develop, train, and refine AI models that support physics-based research and applications.

What are popular job titles related to Ai Training For Physics jobs in Remote, OR?

For Ai Training For Physics jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Ai Training For Physics jobs in Remote, OR look for?

The top searched job categories for Ai Training For Physics jobs in Remote, OR are:

Infographic showing various Ai Training For Physics job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $41,690 per year, or $20 per hour.

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

Prointegrate LLC

OR • On-site

$50 - $90/hr

Contractor

Posted 2 days ago

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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.