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Annotation Jobs in Virginia (NOW HIRING)

Seekr

Senior Data Scientist

Reston, VA · On-site

Coordinate data collection and annotation efforts for supervised training efforts * Design and implement tests for machine learning algorithm effectiveness and performance monitoring * Research and ...

Varsity Tutors

Autocad Tutor

Leesburg, VA · Remote

$40/hr

Deep knowledge of AutoCAD 2D drafting, 3D modeling, dimensioning, layers, blocks, hatching, plotting, annotation, and file management. Ability to explain coordinate systems, object properties ...

Beyond SOF

Full Stack Developer (Java Developer)

Reston, VA · On-site

$54.50 - $70.50/hr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server Pages (JSP) 2.2, Servlet Filters, Java Server Pages Standard Tag Library (JSTL) * Web-HTML, Javascript ...

Varsity Tutors

Autocad Tutor

Blacksburg, VA · Remote

$40/hr

Deep knowledge of AutoCAD 2D drafting, 3D modeling, dimensioning, layers, blocks, hatching, plotting, annotation, and file management. Ability to explain coordinate systems, object properties ...

Varsity Tutors

TACHS Tutor

Norfolk, VA · Remote

$40/hr

Skilled at teaching reading passage annotation, grammar rule application, and mental math estimation strategies for TACHS. Guides students through vocabulary-in-context questions, paragraph ...

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All JobsAnnotation JobsAnnotation Jobs in Virginia

Annotation information

See Virginia salary details

$44.6K

$57.9K

$96.7K

How much do annotation jobs pay per year?

As of Jun 17, 2026, the average yearly pay for annotation in Virginia is $57,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $57,500.00 per year, depending on experience, location, and employer.

What is an Annotation job?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

Is it hard to get a job with data annotation?

Data annotation jobs typically require attention to detail and basic computer skills, and many positions are entry-level with flexible schedules. While some roles may require familiarity with specific tools or platforms, overall, they are accessible to those willing to learn and follow guidelines.

What does an annotation job do?

An annotation job involves labeling or tagging data, such as images, text, or videos, to help train machine learning models. Annotators use specialized tools to add accurate labels, which are essential for developing AI systems in fields like computer vision and natural language processing.

Which 5 jobs will survive AI?

Annotation jobs, which involve labeling data for machine learning models, are likely to persist as they require human judgment and domain expertise. Roles such as data annotators, quality control specialists, and domain-specific annotators will continue to be essential, especially in complex or nuanced tasks that AI cannot fully automate. Skills in critical thinking and familiarity with annotation tools will remain valuable in this field.

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

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

Is data annotation real or fake?

Data annotation is a legitimate job that involves labeling data such as images, text, or videos to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development across various industries.

What are the typical projects or tasks an Annotation specialist works on throughout the week?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

What are the most commonly searched types of Annotation jobs in Virginia? The most popular types of Annotation jobs in Virginia are:
What are popular job titles related to Annotation jobs in Virginia? For Annotation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Annotation jobs in Virginia look for? The top searched job categories for Annotation jobs in Virginia are:
What cities in Virginia are hiring for Annotation jobs? Cities in Virginia with the most Annotation job openings:
Annotation jobs near you

Senior Data Scientist

Seekr

Reston, VA • On-site

Other

Posted 16 days ago

Job description

About the Opportunity: 

We are looking for talented Data Scientiststo join our team and deliver generative and predictive capabilities for US Government customers.  The right candidate will work on the design, development, and deployment of AI/ML capabilities for various applications implementing generative AI and integrations with predictive capabilities (agentic workflows, LLM fine-tuning).  Additionally, this person will be working on quick proof-of-concept solutions but also building in a generalized fashion to support longer term implementation.

From your first day, you will make a valuable contribution. We are a fast-growing company where no one is a bystander. We offer you the opportunity to make a meaningful impact for the US while designing and developing cutting-edge, novel capabilities.

Active US Security clearance or eligibility and willingness to obtain a US Security clearance. Top Secret with SCI eligibility highly preferred. 

Duties and Responsibilities: 

  • Design, implement, and deploy machine learning algorithms for USG customers 
  • Design and develop prototype solutions incorporating both generative and predictive capabilities
  • Serve as the subject matter expert on cutting-edge generative techniques to enhance the government team's ability to produce meaningful insights
  • Design, implement, and manage machine learning data pipelines
  • Conduct research and development on agentic integration of capabilities and application to USG use cases
  • Interact directly with customers and subject matter experts, translating AI/ML concepts into practical language
  • Manage machine learning algorithm lifecycle
  • Support pre-sales efforts, identifying how the Seekr Platform could help satisfy customer requirements
  • Coordinate data collection and annotation efforts for supervised training efforts
  • Design and implement tests for machine learning algorithm effectiveness and performance monitoring
  • Research and development on cutting-edge machine learning technologies

Qualifications and Skills: 

  • Graduate degree in Computer Science preferred with a strong background in machine learning required
  • Strong problem-solving abilities, solid background in algorithms and data structures required 
  • Comfortable interacting with customers and subject matter experts, translating complex AI/ML concepts into practical language and impacts
  • Familiar with generative AI concepts like RAG, prompt engineering, agents, structured output, multi-modal LLMs, various embedding models
  • Strong programming skills in Python required. Experience in java and html a plus. 
  • Experience working with or in the DoD, US Intelligence Community, or US Federal Civilian agencies
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required 
  • Solid knowledge of LLM Frameworks such as LangChain, LlamaIndex,pydantic Transformers
  • Familiarity with common APIs including OpenAI, GraphQL, FastAPI
  • Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone, FAISS, OpenSearch, and Neo4j
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required

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