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Ai Annotation Jobs in Virginia (NOW HIRING)

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

The right candidate will work on the design, development, and deployment of AI/ML capabilities for ... Coordinate data collection and annotation efforts for supervised training efforts * Design and ...

Senior Data Scientist

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The right candidate will work on the design, development, and deployment of AI/ML capabilities for ... Coordinate data collection and annotation efforts for supervised training efforts * Design and ...

Senior Data Scientist

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The right candidate will work on the design, development, and deployment of AI/ML capabilities for ... Coordinate data collection and annotation efforts for supervised training efforts * Design and ...

Senior Data Scientist

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The right candidate will work on the design, development, and deployment of AI/ML capabilities for ... Coordinate data collection and annotation efforts for supervised training efforts * Design and ...

Showing results 41-60

Ai Annotation information

See Virginia salary details

$10.7K

$45.3K

How much do ai annotation jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai annotation in Virginia is $43,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,300.00 and $43,800.00 per year, depending on experience, location, and employer.

What is an AI annotation?

An AI Annotation job involves labeling, tagging, or annotating data, such as images, text, or audio, to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include identifying objects in images, transcribing speech, or classifying text-based content. This job is essential for developing AI applications like self-driving cars, chatbots, and image recognition systems.

What does an AI annotation specialist do?

As an AI Annotation specialist, your typical day will involve accurately labeling, categorizing, or tagging large volumes of images, text, audio, or video data to train AI models according to project guidelines. You may work independently or as part of a team, using specialized annotation platforms and regularly reviewing your work to ensure quality and consistency. Collaboration with data scientists or project managers may be required to clarify ambiguous cases or update labeling criteria. You can expect periodic feedback and performance reviews to help refine your skills and ensure the data meets the project’s standards, making attention to detail and adaptability essential for success.

What are the key skills and qualifications needed to thrive in the AI annotation position?

To thrive as an AI Annotation professional, you need keen attention to detail, strong analytical skills, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant technical training. Familiarity with data labeling tools, annotation platforms such as Labelbox or Supervisely, and basic spreadsheet or database management is commonly required. Strong communication, time management, and the ability to maintain focus during repetitive tasks are standout soft skills. These abilities are crucial for producing high-quality, consistent data that supports the effective development and accuracy of AI models.

What are the most commonly searched types of Ai Annotation jobs in Virginia?

The most popular types of Ai Annotation jobs in Virginia are:

What are popular job titles related to Ai Annotation jobs in Virginia?

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

What cities in Virginia are hiring for Ai Annotation jobs?

Cities in Virginia with the most Ai Annotation job openings:

Infographic showing various Ai Annotation job openings in Virginia as of August 2026, with employment types broken down into 47% Full Time, 11% Part Time, 38% Contract, and 4% Nights. Highlights an 58% In-person, and 42% Remote job distribution, with an average salary of $43,637 per year, or $21 per hour.

Lead Specialist, Federal Artificial Intelligence (AI) Engineering

KPMG US

Ashburn, VA • On-site

Full-time

Re-posted 15 days ago


Job description

Job Summary:
KPMG US is a leading advisory firm that offers excellent opportunities for personal and professional development. They are seeking a Lead Specialist to join their Federal Advisory practice, responsible for leading AI and data engagements, managing complex work streams, and collaborating with clients to identify business opportunities and deliver analytical solutions.
Responsibilities:
• Plan, lead, and execute delivery of data / AI engagements (including definition of objectives, key deliverables, mitigating risk in data, modeling, validation, delivery)
• Lead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities, define problem statements, and design high level analytical solutions
• Work with clients to discover data sources and create date requests; lead data discovery, ETL/ELT processes to ingest structured data / annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal / external documents, images, video, voice, emails, financial data, and operational data)
• Oversee the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, implementation, to delivery
• Lead in a fast-paced / dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, and deliverables
• Define, monitor, and report key business metrics to management; design, implement, and manage various reporting processes / dashboards
• Ability to travel as required to support firm engagements
Qualifications:
Required:
• A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science experience
• Bachelor's degree from an accredited college/university
• Experience utilizing analytics / software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval
• Deep technical understanding of data preparation approaches and machine learning algorithms
• Knowledge / experience performing data science from data discovery, cleaning, model selection, validation, to deployment
• Experience coding artificial intelligence methods using object-oriented programming in software development processes (ability to restructure, refactor, and optimize code for efficiency)
• Hands-on experience and knowledge in distributed computing architecture, massive-parallel processing big data platforms (Hadoop, MapReduce, HDFS, Spark, PySpark, Hive/Impala, H-Base / MongoDB / Casandra, and Teradata / Netezza / Redshift), mainstream cloud infrastructure (AWS, MS Azure, GCP, and their D&A related microservices)
• Experience with Web/RESTful service development, HTML5, JavaScript / Angular / React / Redux
• Experience with command-line scripting, data structures, and algorithms; ability to work in Linux and/or cloud environments; ability to write production level code
• Ability to travel as required to support firm engagements
• Applicant must possess or be eligible for U.S. Government clearance
Preferred:
• U.S. Federal government consulting experience
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.