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Annotation Labelling Jobs in Washington, DC (NOW HIRING)

Video Annotation Support

Laurel, MD · On-site

$30 - $35/hr

The annotation process involves drawing bounding boxes around all relevant objects and assigning classification labels (e.g., military vessel, recreational boat, etc.) to objects in a video. Training ...

New

Video Annotation Support

Laurel, MD · On-site

$30 - $35/hr

The annotation process involves drawing bounding boxes around all relevant objects and assigning classification labels (e.g., military vessel, recreational boat, etc.) to objects in a video. Training ...

New

Video Annotation Support

Laurel, MD · On-site

$30 - $35/hr

The annotation process involves drawing bounding boxes around all relevant objects and assigning classification labels (e.g., military vessel, recreational boat, etc.) to objects in a video. Training ...

New

Produce 50-100 label demonstration corpus across synthetic and mission-aligned content * Support QA/Evaluation Lead on QC execution and corpus annotation dry-runs * Associate DataCard provenance ...

Solid grasp of what annotation quality metrics indicate and how to act on them. * Experience writing labeling guidelines or SOPs that other people worked from. * Ability to communicate quality risk ...

New

Annotators work to a defined ontology and labeling specification, meet project quality and throughput targets, and operate inside the designated annotation environment for each program. Assignments ...

New

Configure AI-assisted annotation features: confidence scoring, auto-escalation triggers, model-assisted label suggestion * Implement ICAM / OIDC authentication integration with AFS identity framework

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Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an annotation labelling specialist?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by annotation labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in Washington, DC?

For Annotation Labelling jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Annotation Labelling jobs in Washington, DC look for?

The top searched job categories for Annotation Labelling jobs in Washington, DC are:

Video Annotation Support

Laurel, MD • On-site

TAD PGS, Inc
Recruiting and Staffing Services • 51 - 200 employees

$30 - $35/hr

Contractor

Posted 2 days ago

New


Job description

We have an outstanding Contract position for a Video Annotation Support to join a leading Company located in the Laurel, MD surrounding area.


Pay Rate: $30.00 - $35.00


**US Citizenship is required.**


Annotation of video data collected by small unmanned aircraft and surface vessels. The annotation process involves drawing bounding boxes around all relevant objects and assigning classification labels (e.g., military vessel, recreational boat, etc.) to objects in a video. Training and guidance will be provided regarding the annotation process and the distinguishing characteristics of the objects of interest.

Job Responsibilities:  

  • Working with engineers to understand the data annotation process, annotating videos, correcting annotations based on engineers' feedback, and providing feedback to the engineers to improve the annotation process.

Basic Hiring Criteria:

  • Ability to learn and operate a custom application for data annotation.
  • Ability to work with engineers to understand data annotation requirements.
  • Can accept and provide feedback to improve the annotation process.
  • Can handle CUI data.

Desired Qualifications:

  • Ability to communicate and collaborate with engineers.

 Benefits offered vary by contract. Depending on your temporary assignment, benefits may include direct deposit, free career counseling services, 401(k), select paid holidays, short-term disability insurance, skills training, employee referral bonus, and affordable medical coverage plan, and DailyPay (in some locations). For a full description of benefits available to you, be sure to talk with your recruiter.