ZipRecruiter

Log In

1

Video Labelling Jobs in Washington (NOW HIRING)

ECS

Senior Imagery Analyst

Fairfax, VA · On-site

... labelling. in support of national security missions. The ideal candidate will possess expertise in ... video (FMV) imagery * Develop and deliver imagery-derived products. * Provide expert-level ...

Innodata Inc.

AI Solutions Engineer

Washington, DC

$75 - $80/hr

Integrate and tune SAM 2 for full-motion video annotation: object tracking, segmentation ... label suggestion * Implement ICAM / OIDC authentication integration with AFS identity framework

A-TEK Inc.

Audio Visual Engineer I

Rockville, MD

$60K - $70K/yr

Configure and test video conferencing platforms (Microsoft Teams Rooms, Zoom Rooms, Cisco Webex). * Run, terminate, and label AV cabling (HDMI, CAT6, audio cables). * Troubleshoot hardware, software ...

A-TEK Inc.

Audio Visual Engineer I

Rockville, MD · On-site +1

$60K - $70K/yr

Configure and test video conferencing platforms (Microsoft Teams Rooms, Zoom Rooms, Cisco Webex). * Run, terminate, and label AV cabling (HDMI, CAT6, audio cables). * Troubleshoot hardware, software ...

Distant Moon

Film Editor

Leesburg, VA · On-site

Organize, sync, label, and manage footage and project assets * Build rough cuts, fine cuts, and polished client-facing edits * Handle basic temp sound design, music editing, and supporting audio work ...

Innodata Inc.

Data & Annotation Engineer

Washington, DC · On-site

$55 - $60/hr

Produce 50-100 label demonstration corpus across synthetic and mission-aligned content * Support QA ... Full-motion video (FMV) annotation concepts and tooling * Python scripting for data wrangling ...

next page

Showing results 1-20

All JobsVideo Labelling JobsVideo Labelling Jobs in Washington

Video Labelling information

What does a typical day look like for someone working in Video Labelling?

A typical day in Video Labelling involves reviewing video footage, identifying and annotating specific objects or events according to project guidelines, and entering this data into specialized software tools. Team members often collaborate with data scientists, engineers, or quality assurance leads to ensure accuracy and consistency in the annotations. Depending on the project and employer, you may work independently or as part of a larger team, sometimes with set quotas or deadlines. This work is crucial for developing and refining AI and machine learning models, making attention to detail and adherence to standards especially important. Over time, experienced video labelling professionals may progress to quality assurance roles or team leads overseeing larger annotation projects.

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

To thrive as a Video Labelling professional, you should have excellent attention to detail, basic computer proficiency, and familiarity with visual content analysis. Knowledge of annotation platforms, video editing software, or AI training tools is often required, and experience with data labelling systems can be beneficial. Strong communication, reliability, and the ability to follow detailed guidelines are important soft skills for this role. These abilities ensure high-quality, consistent data annotation that directly supports machine learning and computer vision projects.

Is there a job that pays you to watch movies?

Video labeling jobs often involve watching movies or video content to annotate or categorize scenes for training AI models. These roles require attention to detail and familiarity with editing tools, and they are typically part-time or freelance positions. Such jobs are common in the tech and AI industries and may require basic computer skills and quality assurance checks.

What is a video labelling job?

A video labelling job involves reviewing and annotating video content to help train machine learning algorithms, such as for autonomous vehicles or content moderation. Workers typically use specialized tools to add tags, labels, or metadata to specific frames or segments, often working remotely with flexible schedules.

What jobs in the US pay 300,000 a year?

In the field of video labelling, high-paying roles typically do not reach $300,000 annually; such salaries are more common in executive, specialized technical, or management positions. Most video labelling jobs are entry-level or mid-tier roles with salaries significantly below that threshold. Advanced roles in related fields like AI development or data science may approach or exceed this level with experience and advanced skills.

What skills do you need for video annotation?

Video labeling requires attention to detail, strong visual perception, and the ability to accurately identify and categorize objects, actions, or scenes. Familiarity with annotation tools and basic understanding of video formats and data organization are also important skills for effective video annotation work.

What is a Video Labelling job?

A Video Labelling job involves annotating or tagging objects, actions, or events in video footage to train machine learning models. This process helps AI systems recognize and interpret visual data accurately. Tasks may include drawing bounding boxes, classifying scenes, or adding timestamps for specific events. Video labelling is commonly used in industries like autonomous driving, security surveillance, and content moderation.

What are the most commonly searched types of Video Labelling jobs in Washington? The most popular types of Video Labelling jobs in Washington are:
What are popular job titles related to Video Labelling jobs in Washington? For Video Labelling jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Video Labelling jobs in Washington look for? The top searched job categories for Video Labelling jobs in Washington are:
What cities in Washington are hiring for Video Labelling jobs? Cities in Washington with the most Video Labelling job openings:
Video Labelling jobs near you
Infographic showing various Video Labelling job openings in Washington as of July 2026, with employment types broken down into 4% Internship, 77% Full Time, 15% Part Time, and 4% Nights. Highlights an 100% In-person job distribution.
Geospatial AI Data Annotator

Geospatial AI Data Annotator

Enabled Intelligence

Falls Church, VA • On-site

$20 - $24/hr

Full-time

Posted 28 days ago

Job description

Geospatial AI Data Annotator
About Enabled Intelligence, Inc.
Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.
At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved!
Geospatial AI Data Annotator
Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. As a member of the Enabled Intelligence annotation team, you will help us collect and annotate unclassified, sensitive, and classified data for AI/ML technologies. We are looking for detail-oriented individuals who will collaborate with our team, label large amounts of data, and provide feedback to our data scientists and engineers to create high-quality labeled data sets. Joining our team means playing an integral role for the future of government AI/ML capabilities.
Responsibilities
  • Use advanced analytic tools to locate, label, tag and categorize various elements in large datasets
  • Interact with data science and data engineering teams to design new features for more efficient labeling techniques
  • Gain an in-depth knowledge of using both commercial and custom annotation software tools
  • Keep project manager informed of platform enhancement ideas, risks, and issues

Required Qualifications and Skills
  • Eligibility to obtain a Top Secret- SCI security clearance
  • US Citizenship Required
  • Ability to follow directions and meet deadlines
  • Ability to communicate reliably
  • Ability to learn and retain new information and apply it to a variety of projects
  • Ability to be a good team player and work with individuals with different communication, learning and working styles.
  • Ability to work independently including managing your schedule, attending all required meetings and completing projects within a deadline
  • Ability to understand and apply guidelines for data annotation
  • Ability to perform repetitive tasks while paying constant close attention to detail and delivery accurate and precise work
  • Ability to keep information confidential
  • Ability to work out of the Enabled Intelligence office located in Falls Church, VA Monday-Friday during normal business hours

Desired Qualifications and Skills
  • Previous experience working in a professional, office environment
  • Previous experience in an IT based position
  • Education background in information technology or technical field
  • Previous experience with data labeling or image annotation including analyzing 2D and 3D images, video, audio files, or unstructured text (EO, IR, SAR, FMV)
  • Prior experience with business productivity tools like Microsoft Office, and/or Slack
  • Highschool Degree

Physical Requirements
  • Prolonged periods of sitting at a desk and working on a computer

Background Check & Security Clearance
  • Applicants selected will be subject to background investigation. Applicants must be eligible to receive a US security clearance at the secret level or higher which requires US Citizenship.

Apply