Golf Video Annotation Reviewer and Correction Specialist Type: Contract Compensation: $30/hour ... Remote Role Responsibilities * Review and correct annotations for approximately 50 golf videos ...
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Golf Video Annotation Reviewer and Correction Specialist Type: Contract Compensation: $30/hour ... Remote Role Responsibilities * Review and correct annotations for approximately 50 golf videos ...
New
Leading the development of HCP marketing materials and digital assets, such as online video, emails ... Implementing Safety Label Updates (SLUs) on promotional assets and ensuring compliance with Subpart ...
Leading the development of HCP marketing materials and digital assets, such as online video, emails ... Implementing Safety Label Updates (SLUs) on promotional assets and ensuring compliance with Subpart ...
Remote Video Labelling information
What is remote video labelling?
Remote video labelling is the process of watching video footage and accurately annotating or tagging objects, actions, or events within the video, all while working from a remote location, usually from home. This work is essential for training machine learning and AI models, particularly in fields like autonomous vehicles, security, and content moderation. Video labellers use specialized software to mark frames and provide metadata that helps computers understand visual information. Attention to detail and consistency are crucial in this job to ensure high-quality labelled data.
What are the key skills and qualifications needed to thrive as a Remote Video Labelling Specialist, and why are they important?
To thrive as a Remote Video Labelling Specialist, attention to detail, basic computer proficiency, and a high school diploma or equivalent are generally required. Familiarity with annotation tools, video editing software, and data labeling platforms is typically expected, with some roles preferring experience in machine learning or data management systems. Strong time management, focus, and effective communication skills help individuals excel in independent, deadline-driven environments. These skills ensure accurate data labeling, which is crucial for training high-quality AI and machine learning models.
What are some common challenges faced by remote video labelling professionals, and how can they be managed?
Remote video labelling professionals often encounter challenges such as staying focused during repetitive tasks, ensuring accuracy when identifying subtle visual details, and managing communication with team members across different time zones. To address these, it's helpful to set up a distraction-free workspace, take regular breaks to maintain concentration, and use collaborative tools to stay connected with supervisors and peers. Additionally, following established labelling guidelines and participating in quality assurance sessions can help maintain consistency and accuracy in your work.
What is the difference between Remote Video Labelling vs Remote Image Annotation?
| Aspect | Remote Video Labelling | Remote Image Annotation |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote, flexible hours |
| Industry Usage | Autonomous vehicles, surveillance, AI training | Object detection, medical imaging, retail |
| Search & Comparison Intent | Understanding differences in data labeling roles | Understanding differences in annotation tasks |
Remote Video Labelling involves annotating video data frame-by-frame, often requiring temporal consistency, while Remote Image Annotation focuses on labeling individual images. Both roles are remote, require attention to detail, and are used in AI training across various industries. The main difference lies in the data type: videos versus images, with video labelling demanding more complex, time-sensitive annotations.
What are popular job titles related to Remote Video Labelling jobs in Pennsylvania? For Remote Video Labelling jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Video Labelling jobs in Pennsylvania look for? The top searched job categories for Remote Video Labelling jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Video Labelling jobs? Cities in Pennsylvania with the most Remote Video Labelling job openings:
$30/hr
Full-time
Posted yesterday
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Job description
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Golf Video Annotation Reviewer and Correction Specialist
Type: Contract
Compensation: $30/hour
Location: Remote
Role Responsibilities
- Review and correct annotations for approximately 50 golf videos, each around 20 minutes long.
- Focus on quality control, error detection, and correction of existing annotations.
- Ensure accurate, consistent, and high-quality annotations through a maker-checker process.
- Work independently and under tight deadlines to meet project requirements.
- Collaborate with other experts to maintain consistency and quality across annotations.
Qualifications
Must-Have
- Strong familiarity with golf, including rules, scoring, shot types, player actions, and on-course events.
- Prior experience with sports data annotation, QA, or labeling review.
- High attention to detail and consistency.
- Comfortable working under tight deadlines.
Start Date
- 17th June
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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