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Annotation Labelling Jobs in Virginia (NOW HIRING)

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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 Virginia?

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

What job categories do people searching Annotation Labelling jobs in Virginia look for?

The top searched job categories for Annotation Labelling jobs in Virginia are:

What cities in Virginia are hiring for Annotation Labelling jobs?

Cities in Virginia with the most Annotation Labelling job openings:

Annotation Labelling jobs near you

Lead Software Product Engineer

Falls Church, VA • On-site

Enabled Intelligence, Inc.
11 - 50 employees
Learn more about Enabled Intelligence, Inc.external

Other

Posted 14 days ago

Job description

Lead Software Product EngineerAbout 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! If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!

Lead Software Product Engineer

Enabled Intelligence has built and continues to develop and maintain a suite of software products (Enki) for internal and customer use. The Lead Product Engineer is responsible for full lifecycle technical ownership and management of the Enki product line including managing the product roadmap, ensuring product functionality, developing new product features and enhancements. The Lead Product Engineer will work directly with internal users and customers to understand Enki future requirements, enhancement/upgrade request, and resolve product functionality issues. The Lead Product Engineer is a hands-on role requiring both direct coding and software development as well as overall product technology strategy informed by technology advances, market trends, and user feedback and requests.

Responsibilities
  • Managing the roadmap, priorities, and codebase for the EI's Enki Product Line including: metrics dashboard (Enki Insights), EI data annotation job aid tool (Enki Job Aid), and EnkI Orchestration
  • Maintaining product functionality and use
  • Maintaining up to date product documentation,
  • Meet with product users to identify and prioritize feature requests
  • Work with and manage an external software developer to finalize the next release of the products
  • Manage and code future product updates, enhancements, and features
Required Qualifications and Skills
  • Active Secret Security Clearance with ability to obtain a TS-SCI clearance.
  • US Citizenship
  • Minimum 2 years experience as a software product manager
  • Minimum of 5 years experience writing production applications in Python and web frameworks including Django
  • Experience developing and maintaining database schemas in MySQL and Postgres
  • Deep understanding of SQL language
  • Experience eliciting, managing and prioritizing feature requests from product users
Desired Qualifications and Skills:
  • Active TS us security clearance
  • Experience building dashboards, preferably using Grafana
  • Experience with mitigating and remediating security vulnerabilities
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 and must have an active Secret Security clearance and the ability to obtain a TS-SCI clearance.

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