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Annotation Jobs in Washington (NOW HIRING)

Jobtailor

Technical Project Manager

Washington, DC · On-site

$120 - $150/hr

Administer CVAT + SAM 2 toolchain in coordination with the Data & Annotation Engineer * Facilitate standups, working sessions, and phase gate preparation * Coordinate Technical Writer onboarding and ...

New

Welo Data

Data Labeling Associate

Washington, DC

$34/hr

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

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All JobsAnnotation JobsAnnotation Jobs in Washington

Annotation information

What is an annotation?

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.

What are the typical projects or tasks an annotation specialist works on?

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

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.

Are those data annotation jobs real?

Data annotation jobs are real positions where workers label or categorize data to train machine learning models. These jobs are often remote, require attention to detail, and may involve using specialized tools or platforms. They are commonly offered by companies in AI, machine learning, and data science industries.

What are annotation jobs?

Annotation jobs involve labeling or tagging data, such as images, text, or audio, to help train machine learning models. These roles often require attention to detail and familiarity with annotation tools or software, and they are commonly performed remotely or in a flexible schedule environment.

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

The most popular types of Annotation jobs in Washington are:

What are popular job titles related to Annotation jobs in Washington?

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

What job categories do people searching Annotation jobs in Washington look for?

The top searched job categories for Annotation jobs in Washington are:

What cities in Washington are hiring for Annotation jobs?

Cities in Washington with the most Annotation job openings:

Annotation jobs near you
Infographic showing various Annotation job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 52% Full Time, 43% Part Time, and 4% Contract. Highlights an 48% Physical, 1% Hybrid, and 51% Remote job distribution.

Artificial Intelligence / Machine Learning Lead Verification and Validation Engineer

Penn State

Reston, VA • On-site

$106K - $140K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

229th of 618 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
POSITION SPECIFICS
We are searching for a talented, experienced, organized, and a highly motivated AI/ML Engineer to join the Visualization and Decision Support Division within the All-Domain Analytics and Signatures Office (A2SO) at the Applied Research Laboratory (ARL) at Penn State. You will lead our Independent Verification and Validation (IV&V) and Data Curation Center of Excellence. This team serves as the foundation for effective machine learning-building, curating, and governing the data that directly determines whether AI/ML models succeed in operationally relevant environments. This position can be filled in State College, PA or Reston, VA.
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
  • Serve as the technical lead for the IV&V and Data Curation Center of Excellence, setting priorities, defining standards, and driving the team's technical direction
  • Mentor, guide, and coordinate a team of engineers performing data labeling, annotation, curation, and IV&V across multiple data modalities
  • Establish and evolve annotation standards, labeling guidelines, data governance frameworks, and quality assurance processes to ensure consistency and reproducibility at scale
  • Design and oversee data pipelines for ingestion, transformation, quality control, and cataloging of classified and open-source data
  • Lead IV&V efforts on datasets and model outputs, defining acceptance criteria and fitness-for-use standards
  • Serve as the primary point of contact between the data curation team and research scientists, algorithm developers, and program stakeholders to translate data needs into actionable plans
  • Present findings, status, and recommendations to leadership and sponsors through well-constructed briefings, papers, and technical artifacts
  • Evaluate and introduce tools, platforms, and best practices for annotation (e.g., CVAT, Label Studio), data versioning, and metadata management
  • Drive automation of manual data analysis and curation processes to improve efficiency and scalability
  • Architect and maintain data catalogs, metadata schemas, and access-controlled repositories that make curated datasets discoverable and accessible to the broader research team
  • Work within an Agile development environment within a large research team

Required Skills/Experience areas include:
  • Bachelor's Degree in Computer Science, Data Science, Information Science, Engineering, or a related technical field
  • Extensive experience designing and managing data curation, annotation, or IV&V workflows for AI/ML systems
  • Deep understanding of machine learning fundamentals, including how data quality, labeling strategies, and dataset composition impact model training, evaluation, and deployment
  • Strong proficiency in Python and SQL for data manipulation, pipeline development, and analysis
  • Experience with data annotation tools and platforms (e.g., CVAT, Label Studio, or equivalent)
  • Success in environments where various forms of communication and organizational skills were crucial to be effective

Preferred Skills/Experience areas include:
  • Prior experience leading or managing a technical team
  • Experience working with DoD or Intelligence Community data, workflows, or operational environments
  • Familiarity with geospatial data formats (shapefiles, GeoJSON, AIS), imagery/FMV exploitation, or signals data processing
  • Experience with data versioning tools (e.g., DVC, LakeFS) or data catalog platforms
  • Knowledge of IV&V methodologies and test and evaluation practices for data-driven systems
  • Experience with containerized development environments (Docker, Kubernetes) and cloud platforms (AWS, Azure)
  • Master's degree or higher in a relevant field
  • Current eligibility to access classified information at the Top Secret/ SCI level or higher and may be subject to a government background investigation to updated clearance eligibility, if required

Your working location will be fully-on site located in either State College, PA or Reston, VA.
MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS
If filled as R&D Engineer - Artificial Intelligence (ARL) - Principal Professional, this position requires:Bachelor's Degree - Engineering or Science19+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Artificial Intelligence (ARL) - Senior Professional, this position requires:Bachelor's Degree - Engineering or Science14+ years of relevant experienceRequired Certifications:None
ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Intel Community (IC), and other federal government customers.
FOR FURTHER INFORMATION on ARL, visit our website at ;br>
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
Notice regarding employment at the Applied Research Laboratory (ARL):Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas.
SALARY & BENEFITS
The salary range for this position, including all possible grades, is $168,000.00 - $318,840.00. This salary range includes an adjustment based on required geographic work location.
Salary Structure - Information on Penn State's salary structure
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact .
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