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Assistant Video Annotation Jobs in Florida (NOW HIRING)

Maintain familiarity with diverse data types and assist with field data collection activities as ... Support annotation of datasets and development of machine learning models, including training and ...

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Assistant Video Annotation information

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 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 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 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 the most commonly searched types of Video Annotation jobs in Florida? The most popular types of Video Annotation jobs in Florida are:
What job categories do people searching Assistant Video Annotation jobs in Florida look for? The top searched job categories for Assistant Video Annotation jobs in Florida are:
What cities in Florida are hiring for Assistant Video Annotation jobs? Cities in Florida with the most Assistant Video Annotation job openings:
Data Scientist

Data Scientist

AIS, Inc.

Miami, FL • On-site

Full-time

Medical, Dental, PTO

Posted 9 days ago


Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulation ns as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch.
Primary Function:
This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs. This position is contingent upon contract award and available funding.
Duties/Responsibilities:
  • Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data
  • Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications
  • Maintain familiarity with diverse data types and assist with field data collection activities as needed
  • Organize and document datasets and metadata in accordance with established data management protocols
  • Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows
  • Support data curation and storage, including cloud-based data repositories
  • Assist with preparation and archiving of datasets in accordance with government data standards
  • Develop, test, and evaluate analytical workflows and models to improve data processing efficiency
  • Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems
  • Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists)
  • Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities
  • Participate in interdisciplinary working groups and collaborative research efforts
  • Support proposal development, manuscript review, and scientific reporting activities
  • Participate in outreach and stakeholder engagement activities as required
  • Prepare for and participate in scientific meetings, workshops, and symposia

Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.
Minimum Qualifications:
  • Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience
  • Experience applying machine learning, statistical analysis, or advanced analytical techniques
  • Proficiency in programming languages such as Python or R
  • Experience working with large datasets and data management workflows
  • Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar)
  • Experience with relational databases
  • Strong written and oral communication skills
  • Ability to work collaboratively across multidisciplinary teams
  • Ability to translate complex datasets into actionable scientific products
  • Strong analytical and problem-solving skills
  • Ability to manage multiple datasets and analytical workflows simultaneously
  • Effective communication of technical concepts to non-technical stakeholders

Preferred Qualifications:
  • PhD in data science, computer science, marine science, or related field
  • Experience developing and deploying machine learning models
  • Experience with cloud-based ML workflows and scalable data processing
  • Experience working with fisheries, environmental, or ecological datasets
  • Experience with AI/ML model architecture and performance evaluation

Travel:
  • Travel required (limited) for field data collection, collaboration meetings, and scientific conferences.

Location:
  • Remote
  • Must be willing to relocate if needed.

Contact:
If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information:
  • Resume
  • Cover letter detailing relevant experience.
  • 3 professional references (name, email address and phone number)

All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833.
An Equal Opportunity Employer
It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.
Must be able to work in the U.S. • VEVRAA Federal Contractor • Request Priority Protected Veteran Referrals • Equal Opportunity Employer