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Llm Annotation Jobs in Washington (NOW HIRING)

vetegrity

Data Scientist 3

Annapolis Junction, MD · On-site

Roles may include supporting NLP, LLM, and agentic AI initiatives, as well as optimizing data flows ... annotation, model training/validation, and knowledge extraction from unstructured data ...

State Affairs

Software Engineer

Washington, DC · On-site

$120K - $210K/yr

Design delightful data workflow such as instant search, real-time diffing, collaborative annotation ... Ability to utilize LLM tools (Claude-Code, Cursor, Codex) to accelerate coding and debugging ...

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Llm Annotation information

How to become an Llm annotator?

To become an LLM annotator, candidates typically need strong language skills, attention to detail, and familiarity with data annotation tools. Many positions require a high school diploma or equivalent, and some may prefer prior experience in data labeling or related fields. Training is often provided by employers to ensure accurate annotation of large language model datasets.

What is the difference between Llm Annotation vs Data Labeler?

AspectLlm AnnotationData Labeler
Required CredentialsBasic computer skills, sometimes familiarity with AI toolsBasic skills, often on-the-job training
Work EnvironmentRemote or office-based, tech-focusedRemote or on-site, varied industries
Industry UsageAI, machine learning, NLP projectsVarious industries including marketing, healthcare, and tech
Search & Comparison IntentUnderstanding roles in AI data preparationGeneral data labeling tasks

In summary, Llm Annotation involves specialized annotation for large language models, often requiring familiarity with AI tools, while Data Labeler is a broader role focused on labeling data across multiple industries with minimal technical requirements.

What is LLM annotation?

LLM annotation refers to the process of labeling or tagging data specifically for training and evaluating large language models (LLMs) like GPT or BERT. Annotators read text and apply labels, correct errors, or provide feedback to help improve the model's understanding and performance. This work is crucial for supervised learning, as well-annotated datasets help LLMs better recognize patterns, context, and meaning in human language. LLM annotation can involve tasks such as sentiment analysis, named entity recognition, or instruction following. Annotators often use specialized platforms or tools to complete their tasks efficiently and accurately.

What are the key skills and qualifications needed to thrive as an LLM annotation specialist?

To thrive as an LLM Annotation Specialist, you need strong analytical skills, attention to detail, and a background in linguistics, computer science, or a related field. Familiarity with annotation platforms, natural language processing (NLP) tools, and data labeling systems is typically required. Excellent communication, critical thinking, and the ability to follow guidelines precisely are valuable soft skills for this role. These skills ensure high-quality, accurate data annotation, which directly impacts the performance and reliability of large language models.

What are some common challenges faced by LLM annotation specialists, and how can they be addressed?

LLM Annotation specialists often encounter challenges such as interpreting ambiguous language data, maintaining annotation consistency across complex datasets, and keeping up with evolving guidelines. These can be addressed by participating in regular team syncs to clarify guidelines, using annotation tools with built-in quality checks, and collaborating closely with project leads and fellow annotators. Continuous learning and open communication help ensure high-quality, reliable data annotation and support professional growth within the AI and NLP fields.
What are popular job titles related to Llm Annotation jobs in Washington? For Llm Annotation jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Llm Annotation jobs in Washington look for? The top searched job categories for Llm Annotation jobs in Washington are:
What cities in Washington are hiring for Llm Annotation jobs? Cities in Washington with the most Llm Annotation job openings:
Llm Annotation jobs near you
Infographic showing various Llm Annotation job openings in Washington as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution.

Data Scientist 3

vetegrity

Annapolis Junction, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Job Description

Vetegrity is hiring Data Scientists to design, develop, and implement data analytics, automation, and AI/ML solutions in support of mission-driven analytic workflows. Candidates will work with diverse data sources, automate data processing and reporting, and present complex findings through visualizations and dashboards. Roles may include supporting NLP, LLM, and agentic AI initiatives, as well as optimizing data flows and ensuring data quality and compliance.

, Required Skills

- Proficiency in Python for data analysis, automation, and workflow development

- Experience with data aggregation, transformation, curation, and error correction

- Familiarity with data visualization tools (e.g., Plotly, Shapely, GeoPandas, Kibana, Elastic, SQL, Jupyter)

- Experience with ETL workflows, batch/incremental data ingestion, and robust error handling

- Ability to automate analytic and reporting processes

- Experience with or willingness to learn AI/ML techniques for optimization, automation, and collection processing

- Experience with or exposure to NLP, LLMs, and/or agentic AI frameworks (e.g., LangGraph, RAG)

- Ability to interact with APIs and build/retrieve tools for data access

- Understanding of data flows, customer data sources, and data retrieval techniques

- Experience with or willingness to learn front-end web development (e.g., HTML, Bootstrap, Pyodide)

- Familiarity with big data platforms, networked environments, and/or SIGINT or CNO mission data is a plus

- Knowledge of data compliance, policy, and quality assurance best practices

, Desired Skills

- Experience with Jupyter Notebooks, Pandas, PySpark, or Polars

- Experience with process automation for reporting and maintaining Python automation packages

- Experience with NLP/NER annotation, model training/validation, and knowledge extraction from unstructured data

- Familiarity with customer-specific tools, data flows (e.g., XKS/DX), and mission priorities

- Experience with Splunk, SQL, Elastic, Kibana, or networking

- Prior experience supporting CNO or SIGINT missions

, Additional Details

Vetegrity is an employee-focused small business, founded in 2008. We are passionate about supporting the missions of the Intelligence Community and the Department of Defense. As a Service-Disabled, Veteran-Owned Small Business, we pride ourselves on our commitment to excellence and integrity in everything we do.

We offer competitive compensation and benefits to include:

- Medical/Dental/Vision

- 20 Days of Paid Time Off (PTO) + Federal Holidays

- 401k with Employer Match

- Profit Sharing

- Tuition Reimbursement

- Flex Spending Account

- Life Insurance, Long Short-Term Disability

- Pet Adoption Reimbursement

- Annual Physical Fitness/Wellness Allowance

- Supplemental Insurance

- Employee Referral Program

- Performance Incentives

- On-The-Spot Rewards

Other company-sponsored perks include after-hours events, logo apparel, holiday parties, and more!

Vetegrity provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

, About Vetegrity

We’re always on the lookout for mission-driven individuals who want to work with purpose, grow with grit, and thrive as part of a team that values integrity above all else. Whether you’re a seasoned professional or just launching your career, Vetegrity offers opportunities to contribute to meaningful work and be part of a company that listens, supports, and invests in its people.
Browse our open roles below and find the one that fits your journey.

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About Vetegrity

Sourced by ZipRecruiter

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

Annapolis, MD, US

Year founded

2008

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