1

Prompt Data Annotation Ai Jobs in Virginia (NOW HIRING)

Coordinate data collection and annotation efforts for supervised training efforts * Design and ... Familiar with generative AI concepts like RAG, prompt engineering, agents, structured output, multi ...

As AI Prompt and Skills Engineer, you will: * Writes, tests and refines prompts across Tax ... Bachelor's Degree inComputer Science, Data Science, Information Systems, Engineering or a related ...

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Prompt Engineer

Mclean, VA · On-site

$115K - $140K/yr

We are seeking a Prompt Engineer design, test, and refine interaction patterns for generative AI ... You will contribute to the growth of our AI & Data Exploitation Practice! * Ability to hold a ...

AI and ML Data Scientist

Mclean, VA · On-site

$77.60 - $176/hr

You'll design and implement AI agents, retrieval‑augmented generation pipelines, evaluation frameworks, prompt strategies, data processing workflows, and mission‑focused prototypes. You'll help ...

Showing results 21-40

Prompt Data Annotation Ai information

What is the difference between Prompt Data Annotation Ai vs Data Labeler?

AspectPrompt Data Annotation AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, often with AI teamsRemote or on-site, often with data teams
Industry UsageAI development, machine learning projectsData management, machine learning datasets
Job FocusAnnotating data for AI prompts and modelsLabeling data for training AI algorithms

Prompt Data Annotation Ai specialists focus on creating high-quality annotations specifically for AI prompts, ensuring models understand context. Data Labelers perform similar tasks but may work on broader datasets. Both roles require attention to detail and are vital in AI development, often overlapping but with different emphasis on prompt-specific annotation versus general data labeling.

What are popular job titles related to Prompt Data Annotation Ai jobs in Virginia? For Prompt Data Annotation Ai jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Prompt Data Annotation Ai jobs in Virginia look for? The top searched job categories for Prompt Data Annotation Ai jobs in Virginia are:
What cities in Virginia are hiring for Prompt Data Annotation Ai jobs? Cities in Virginia with the most Prompt Data Annotation Ai job openings:
Infographic showing various Prompt Data Annotation Ai job openings in Virginia as of June 2026, with employment types broken down into 70% Full Time, 28% Part Time, 1% Contract, and 1% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Senior Data Scientist

Seekr

Reston, VA • On-site

Full-time

Re-posted 10 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