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Annotation Labelling Jobs in Ashburn, VA (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 Ashburn, VA? For Annotation Labelling jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Annotation Labelling jobs in Ashburn, VA look for? The top searched job categories for Annotation Labelling jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Annotation Labelling jobs? Cities near Ashburn, VA with the most Annotation Labelling job openings:
Annotation Labelling jobs near you

Program Management Operations Manager

Enabled Intelligence

Falls Church, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Program Management Operations Manager

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! 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!

Program Management Operations Manager

We are seeking a highly organized, results-driven Operations Manager to facilitate the integration of efforts between the project management, annotation, quality, data science, and training organizations in alignment with the Project Management Process, per EI's Operations Manual, with a focus on driving efficiencies and continuous improvement.

The core mission of this position is to support the seamless, high-volume production and delivery of labeled imagery based on daily, weekly, and monthly cadences set by the Operations Manual and customer contracts. You will be responsible for measuring productivity goals, and quality standards, working closely with the project managers to identify and remediate process breakdowns. The successful candidate will be a team player, a proactive problem solver, and an effective communicator who takes a data-driven approach to align cross-functional teams in a fast-paced organization.

Responsibilities

  • Labeling Projects: Coordinate PMO planning to help ensure projects are properly staffed and milestones are well established to foster consistent, high-volume, high-quality labeling throughput.
  • Team Alignment: Provide guidance, mentorship, and performance feedback to Project Managers, to help the PMO is aligned with the Training, Annotation, Quality, and Data Science teams.
  • Workflow Optimization: Evaluate and recommend process improvements for the integration of the operational departments to eliminate bottlenecks and maximize efficiency, without sacrificing overall quality or contractual deadlines. Monitor resource allocation and forecast project staffing.
  • Operational Reporting: Synthesize complex operational data into clear, concise weekly and monthly operational performance reports for senior leadership and PMO analytics.
  • Documentation: Collaborate with the Director of Program Management on the creation and maintenance of clear standard operating procedures (SOPs) and ensure they are communicated and accessible via internal communication frameworks.

Required Qualifications and Skills

  • Experience: 5+ years of operational or project management experience, preferably within a PMO, data production, government, or high-volume technical operations environment.
  • Teamwork Oriented: Proven track record of successfully operating within and across multi-tiered teams, including senior leadership, project managers, and hourly staff.
  • Data & Metrics Driven: Proficiency in utilizing data analytics to track productivity and quality metrics (e.g., compliance, error rates, utilization).
  • Organizational Skills: Exceptional organizational abilities with the capacity to juggle shifting priorities, tight deadlines, and complex logistical challenges seamlessly.
  • Communication Skills: Superior oral and written communication skills. Must be adept at writing reports, delivering presentations, and fostering clear communication across diverse teams.
  • Government Clearance: Must have a TS/SCI clearance with the ability to obtain a CI Poly.

Desired Experience:

  • Experience in geospatial industries, GIS, or managing data annotation pipelines for Machine Learning/Artificial Intelligence (AI) models.
  • PMP, Agile/Scrum, or Six Sigma Green/Black Belt certifications.
  • Familiarity with data labeling tools, geospatial software, and Microsoft Office tools

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 Top Secret Security clearance.

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