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What are the key skills and qualifications needed to thrive as an Assistant Video Annotation Specialist, and why are they important?

To thrive as an Assistant Video Annotation Specialist, you need attention to detail, familiarity with basic video editing or labeling tools, and the ability to accurately interpret instructions, often supported by a high school diploma or equivalent. Experience with annotation platforms like CVAT, Labelbox, or VGG Image Annotator, and basic understanding of file formats are typically required. Strong organizational skills, patience, and the ability to work independently enhance performance in this repetitive and quality-focused role. These skills are crucial because precise annotation directly impacts the effectiveness of machine learning models and project outcomes.

What are some typical challenges faced by Assistant Video Annotation professionals, and how can they be managed?

Assistant Video Annotation professionals often encounter challenges such as handling large volumes of video data, maintaining high accuracy in labeling frames, and adhering to tight project deadlines. Managing these challenges requires strong attention to detail, effective use of annotation tools, and good communication with team members to clarify guidelines. Regular feedback sessions and a well-organized workflow also help ensure consistency and efficiency in annotations.

What are Assistant Video Annotation jobs?

Assistant Video Annotation jobs involve helping to label, tag, or identify specific elements within video content. This work is crucial for training artificial intelligence and machine learning models that rely on accurately annotated video data. Assistants may mark objects, actions, timestamps, or other important features within video frames. These positions often require attention to detail, basic computer skills, and sometimes familiarity with specialized annotation tools. Such roles are commonly found in tech companies, research institutions, or organizations developing AI-driven products.

What is the difference between Assistant Video Annotation vs Video Labeling Specialist?

AspectAssistant Video AnnotationVideo Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; experience with labeling tools
Work EnvironmentRemote or office-based; collaborative teamsPrimarily remote; focused on data annotation tasks
Industry UsageUsed in AI training, autonomous vehicles, and tech companiesCommon in AI, machine learning, and data annotation firms
Job FocusAssisting with video annotation tasks, following guidelinesPerforming detailed labeling of video data for model training

Assistant Video Annotation roles typically involve supporting annotation tasks under supervision, focusing on following guidelines. Video Labeling Specialists often handle more detailed, independent labeling work. Both roles are essential in AI data preparation but differ in scope and experience requirements.

What are the most commonly searched types of Video Annotation jobs in Washington? The most popular types of Video Annotation jobs in Washington are:
What are popular job titles related to Assistant Video Annotation jobs in Washington? For Assistant Video Annotation jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Assistant Video Annotation jobs in Washington look for? The top searched job categories for Assistant Video Annotation jobs in Washington are:
What cities in Washington are hiring for Assistant Video Annotation jobs? Cities in Washington with the most Assistant Video Annotation job openings:
Assistant Video Annotation jobs near you
Sr. Researcher - AI/ML Enabled Spatiotemporal Imagery

Sr. Researcher - AI/ML Enabled Spatiotemporal Imagery

Bluemont Technology & Research, Inc.

Bethesda, MD • On-site

$105.40K - $134.30K/yr

Full-time

Posted 15 days ago

Job description

JOB TITLE: Sr. Researcher - AI/ML Enabled Spatiotemporal Imagery
LOCATION: Bethesda, Maryland
CLEARANCE: No clearance to start but preferred. MUST be US Citizen to be clearable. Prefer TS/SCI with CI Poly.
JOB RESPONSIBILITIES:
• Attend meetings, workshops, conferences and testing events as a Subject Matter Expert.
• Assist with the development of presentations such as Program Management Reviews.
• Serve as a Liaison between Performers, Test & Evaluation contributors, Government and Transition partners.
• Review, provide analysis, and make recommendations concerning technical reports, data and Performer approaches.
• Examine data sources and literary sources for emerging technology related to the Program.
• Provide technical support and expertise on new concepts beyond the Program within areas of expertise.
REQUIRED EXPERTISE:
• Bachelors' degree in physics, mathematics, computer science, or relevant engineering fields (e.g. electrical, computer, systems, software) with eight plus (8+) years of work experience, or Masters' degree with four plus (4+) years of work experience, or PhD with two plus (2+) years of work experience. PhD is desirable, but not absolutely required if work experience provides depth and breadth of technical understanding and evidence of problem-solving capability equivalent to what would be expected for a PhD.
• Five (5) years of experience in computer vision R&D.
• Two (2) years of experience with R&D of machine learning and deep learning algorithms.
• One (1) year of experience managing a multi-disciplinary research and development (R&D) or Test and Evaluation (T&E) team.
• Two (2) years of experience creating program plans, work breakdown structures, and milestone schedules.
• Excellent writing and editing skills. Ability to develop succinct, comprehensive, understandable documents using complex data from multiple sources.
• Excellent slide development and PowerPoint skills. Ability to visually communicate complex ideas at a high level for technically savvy, but non-expert audiences.
• Strong organizational, problem solving, and time management skills. Must be detail oriented.
• Ability to proactively manage multiple, concurrent tasks.
• At least 4 of the qualifications listed in Desired Expertise.
• Experience in the Intelligence Community (IC) or Department of Defense (DoD), including experience with requirements, CONOPS and research technology transition.
DESIRED EXPERTISE:
• Experience with architectures to support large spatiotemporal data management and processing.
• Experience with the institutional review board (IRB) process for human subjects' research and IRB approved video collection.
• Experience with development in the Open Media Processing Framework (OpenMPF).
• Experience with deployment of computer vision analytics in a large-scale framework.
• Experience managing/performing large-scale video collection, curation and annotation.
• Experience with video collection from fixed security/surveillance, airborne (e.g. drone, UAV), and ground mobile (e.g. cell phone, auto mounted, etc.) video sensors.
• Experience with image or video frame geo-localization.
Bluemont Technology & Research, Inc. (Bluemont) offers a premium benefits package. Our culture is based on treating people like you would treat yourself. The company is focused on challenging applications of cutting-edge technologies and data intensive applications. Bluemont maintains a drug-free workplace and performs background checks.
Bluemont is an E-Verify Employer. Follow this link to view: www.dhs.gov/E-Verify

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