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Video Annotation Jobs in Florida (NOW HIRING)

AIS Inc

Data Scientist

Miami, FL · On-site +1

... surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data ... Support annotation of datasets and development of machine learning models, including training and ...

AIS, Inc.

Data Scientist

Miami, FL · On-site

... surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data ... Support annotation of datasets and development of machine learning models, including training and ...

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All JobsVideo Annotation JobsVideo Annotation Jobs in Florida

Video Annotation information

See Florida salary details

$19.4K

$44.7K

$71K

How much do video annotation jobs pay per year?

As of Jun 30, 2026, the average yearly pay for video annotation in Florida is $44,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,400.00 and $51,900.00 per year, depending on experience, location, and employer.

What is a Video Annotation job?

A Video Annotation job involves labeling objects, activities, or events within videos to help train machine learning models. Annotators use specialized tools to draw bounding boxes, segment frames, or classify scenes to improve AI's ability to recognize visuals. This work is essential for applications like autonomous vehicles, facial recognition, and action recognition in AI systems.

Is video annotation hard?

Video annotation as a job involves labeling objects, actions, or scenes within videos, which requires attention to detail and familiarity with annotation tools. The difficulty depends on the complexity of the videos and the accuracy required, but it generally involves repetitive tasks that can be learned with practice.

Does data annotation really pay you?

Video annotation jobs typically pay hourly or per task rates, with earnings varying based on experience, complexity of the work, and platform. Many annotators earn between minimum wage and a few dollars per hour, but consistent, higher-paying opportunities often require specialized skills or certifications in data labeling tools.

What does a video annotator do?

A video annotator is responsible for labeling and tagging objects, actions, and other relevant features within video footage to help train machine learning models. They use specialized tools to ensure accurate and consistent annotations, often working with large datasets and following specific guidelines. This role requires attention to detail and knowledge of annotation software or platforms.

How to do video annotation?

Video annotation involves labeling objects, actions, or features within video frames using annotation tools or software. The process typically includes selecting relevant frames, drawing bounding boxes or masks, and assigning labels, often requiring attention to detail and knowledge of annotation guidelines. Skills in video editing, familiarity with annotation platforms, and understanding of the specific task are essential for accurate results.

What are the typical daily responsibilities of a Video Annotation specialist?

As a Video Annotation specialist, your daily tasks will generally involve watching video footage, identifying relevant objects or actions, and accurately labeling or tagging frames according to specific project guidelines. You may also review and validate annotations to ensure quality and consistency, collaborate with team members or project managers to clarify labeling instructions, and document any ambiguities or challenges encountered during annotation. Most roles are structured with clear targets or quotas for completed work, and you may work independently or as part of a larger team supporting AI development projects. The position requires strong concentration and the ability to handle repetitive tasks efficiently while maintaining high standards of accuracy.

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

To excel in Video Annotation, you need strong attention to detail, visual analysis skills, and familiarity with video processing concepts, often supported by a diploma or coursework in computer science or a related field. Knowledge of annotation tools such as CVAT, Labelbox, or VGG Image Annotator, and, in some cases, experience with basic scripting or data management platforms, is highly valued. Excellent focus, time management, and the ability to follow precise instructions help individuals stand out in this position. These abilities are crucial for ensuring the accuracy and quality of annotated video data, which directly impacts AI and machine learning model performance.

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 are popular job titles related to Video Annotation jobs in Florida? For Video Annotation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Video Annotation jobs in Florida look for? The top searched job categories for Video Annotation jobs in Florida are:
Video Annotation jobs near you
Data Scientist

Data Scientist

AIS Inc

Miami, FL • On-site, Remote

Full-time

Medical, Dental, PTO

Posted 16 days ago

Key responsibilities

  • Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data.

  • 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.

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.


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

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