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Video Labelling Jobs in Utah (NOW HIRING)

micro1 AI

First-Person AI Video Trainer

West Jordan, UT · Remote

$13/hr

Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards. * Consistently contribute a minimum of 10 hours of approved video data per week ...

MILLENNIUMSOFT

Administrative Assistant

Salt Lake City, UT · On-site

$17.50 - $23.50/hr

This position would need graphic design skills to help with labeling, small video productions and power point slides. Great attention to detail. Education: High School Diploma required, Associates or ...

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Video Labelling information

What does a typical day look like for someone working in Video Labelling?

A typical day in Video Labelling involves reviewing video footage, identifying and annotating specific objects or events according to project guidelines, and entering this data into specialized software tools. Team members often collaborate with data scientists, engineers, or quality assurance leads to ensure accuracy and consistency in the annotations. Depending on the project and employer, you may work independently or as part of a larger team, sometimes with set quotas or deadlines. This work is crucial for developing and refining AI and machine learning models, making attention to detail and adherence to standards especially important. Over time, experienced video labelling professionals may progress to quality assurance roles or team leads overseeing larger annotation projects.

What are the key skills and qualifications needed to thrive in the Video Labelling position, and why are they important?

To thrive as a Video Labelling professional, you should have excellent attention to detail, basic computer proficiency, and familiarity with visual content analysis. Knowledge of annotation platforms, video editing software, or AI training tools is often required, and experience with data labelling systems can be beneficial. Strong communication, reliability, and the ability to follow detailed guidelines are important soft skills for this role. These abilities ensure high-quality, consistent data annotation that directly supports machine learning and computer vision projects.

Is there a job that pays you to watch movies?

Video labeling jobs often involve watching movies or video content to annotate or categorize scenes for training AI models. These roles require attention to detail and familiarity with editing tools, and they are typically part-time or freelance positions. Such jobs are common in the tech and AI industries and may require basic computer skills and quality assurance checks.

What is a video labelling job?

A video labelling job involves reviewing and annotating video content to help train machine learning algorithms, such as for autonomous vehicles or content moderation. Workers typically use specialized tools to add tags, labels, or metadata to specific frames or segments, often working remotely with flexible schedules.

What jobs in the US pay 300,000 a year?

In the field of video labelling, high-paying roles typically do not reach $300,000 annually; such salaries are more common in executive, specialized technical, or management positions. Most video labelling jobs are entry-level or mid-tier roles with salaries significantly below that threshold. Advanced roles in related fields like AI development or data science may approach or exceed this level with experience and advanced skills.

What skills do you need for video annotation?

Video labeling requires attention to detail, strong visual perception, and the ability to accurately identify and categorize objects, actions, or scenes. Familiarity with annotation tools and basic understanding of video formats and data organization are also important skills for effective video annotation work.

What is a Video Labelling job?

A Video Labelling job involves annotating or tagging objects, actions, or events in video footage to train machine learning models. This process helps AI systems recognize and interpret visual data accurately. Tasks may include drawing bounding boxes, classifying scenes, or adding timestamps for specific events. Video labelling is commonly used in industries like autonomous driving, security surveillance, and content moderation.

What are the most commonly searched types of Video Labelling jobs in Utah? The most popular types of Video Labelling jobs in Utah are:
What are popular job titles related to Video Labelling jobs in Utah? For Video Labelling jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Video Labelling jobs in Utah look for? The top searched job categories for Video Labelling jobs in Utah are:
What cities in Utah are hiring for Video Labelling jobs? Cities in Utah with the most Video Labelling job openings:
Video Labelling jobs near you
Subject Matter Expert - Video & Motion Analytics

Subject Matter Expert - Video & Motion Analytics

micro1 AI

Salt Lake City, UT • Remote

$13/hr

Part-time

Posted 10 days ago

Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: 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.


Key Responsibilities:

  1. Capture precise motion data using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

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