Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Previous experience with data analysis or annotation at any level You will work up to 20 hours/week ...
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Previous experience with data analysis or annotation at any level You will work up to 20 hours/week ...
Remote Video Annotation information
What is remote video annotation?
Remote video annotation is the process of labeling or tagging objects, actions, or events in video footage while working from a location outside of a traditional office, typically from home. Annotators use specialized software tools to draw boxes, create masks, or assign labels to specific frames or sequences in videos. This annotated data is essential for training and improving computer vision models used in applications like self-driving cars, security systems, and entertainment technology. Remote video annotation jobs offer flexibility, but often require attention to detail, strong computer skills, and the ability to follow detailed guidelines.
What are the typical daily tasks and challenges faced by a remote video annotation specialist?
As a Remote Video Annotation specialist, your daily tasks typically include reviewing video footage, accurately labeling objects or actions according to specific guidelines, and ensuring data consistency for machine learning projects. One common challenge is maintaining high attention to detail over long periods, as precise annotations are crucial for training effective AI models. Additionally, you'll often collaborate with project managers or quality assurance teams to clarify requirements, discuss edge cases, and receive feedback. Flexibility and good time management are important, as workloads can vary based on project deadlines and client needs.
What are the key skills and qualifications needed to thrive as a remote video annotation specialist?
To excel as a Remote Video Annotation Specialist, you need strong attention to detail, visual accuracy, and basic computer literacy, often supported by prior experience in data labeling or related fields. Familiarity with annotation platforms (such as CVAT or Labelbox) and understanding of video formats and metadata are typically required. Effective time management, reliability, and clear communication help specialists meet deadlines and collaborate remotely. These skills ensure precise data labeling, which is crucial for training high-performing AI and machine learning models.
What is the difference between Remote Video Annotation vs Remote Data Labeling?
| Aspect | Remote Video Annotation | Remote Data Labeling |
|---|---|---|
| Primary Focus | Annotating objects, actions, and events in videos | Labeling data across various formats, including images, text, and videos |
| Work Environment | Remote, often collaborative with video review tools | Remote, using labeling platforms for different data types |
| Required Skills | Attention to detail, understanding of video content | Accuracy, familiarity with labeling tools |
Remote Video Annotation specifically involves marking objects and actions within videos, while Remote Data Labeling covers a broader range of data types, including images and text. Both roles require attention to detail and remote work skills, but Video Annotation focuses on video content analysis, making it more specialized within the data labeling industry.
What are the most commonly searched types of Video Annotation jobs in Pennsylvania? The most popular types of Video Annotation jobs in Pennsylvania are:
What are popular job titles related to Remote Video Annotation jobs in Pennsylvania? For Remote Video Annotation jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Video Annotation jobs in Pennsylvania look for? The top searched job categories for Remote Video Annotation jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Video Annotation jobs? Cities in Pennsylvania with the most Remote Video Annotation job openings:
Part-time
Posted 14 days ago
Job description
APPLICATION INSTRUCTIONS:
- CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
- CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
- If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
We are searching for a motivated undergraduate student to jointhe Visualization and Decision Support Divisionat the Applied Research Laboratory (ARL) at Penn State. This fall/springinternship willconcentrate on gaining hands-on experience in AI/ML data preparation and contributing to meaningful research
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
Typical focus areas include:
- Label and annotate diverse datasets with a primary focus on geospatial data such as tracks, images, video, text, and sensor data
- Support AI/ML model development for Navy, Department of Defense (DoD), and Intelligence Community (IC) applications
- Utilize industry-standard and custom labeling tools while collaborating with AI/ML researchers and engineers to understand requirements and contribute to data quality assurance processes
Students majoring in the following fields are encouraged to apply:
- Undergraduate students in a STEM major (Computer Science, Engineering, Mathematics, Data Science, Information Sciences, or related fields)
Interest Skills/Experience areas include:
- Drive to learn and grow in the AI/ML field
- Commitment to data quality
- Strong attention to detail
Preferred but not required:
- Interest in artificial intelligence, machine learning, or data science
- Familiarity with geospatial concepts or mapping technologies
- Previous experience with data analysis or annotation at any level
You will work up to 20 hours/week during the fall and spring semesters and have the opportunity to work up to 40 hours/week over the summer. This is a paid internship opportunity, and location will befully on-site located in State College, PA
Relocation and housing are not provided. Questions related to flexible work should be directed to the hiring manager during the interview process.
ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Intel Community (IC), and other federal government customers.
FOR FURTHER INFORMATION on ARL, visit our website atwww.arl.psu.edu.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.Notice regarding employment at the Applied Research Laboratory (ARL): Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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About Pennsylvania State University
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Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.
Industry
Education
Company size
11 - 50 Employees
Headquarters location
University Park, PA, US
Year founded
1855