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Data Annotation Manager Jobs in Washington (NOW HIRING)

Axle

Data Scientist II

Rockville, MD

With experts in biomedical science, software engineering, and program management, we focus on ... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ...

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All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Washington

Data Annotation Manager information

See Washington salary details

$35.1K

$110K

$194.8K

How much do data annotation manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data annotation manager in Washington is $110,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $142,100.00 per year, depending on experience, location, and employer.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a data annotation manager?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

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

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

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

The most popular types of Data Annotation jobs in Washington are:

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

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

What cities in Washington are hiring for Data Annotation Manager jobs?

Cities in Washington with the most Data Annotation Manager job openings:

Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,026 per year, or $52.9 per hour.

Artificial Intelligence / Machine Learning Verification and Validation Engineer

Penn State University

Reston, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

232nd of 620 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, detail-oriented, and highly motivated AI/ML Engineer to join our Independent Verification and Validation (IV&V) and Data Curation Center of Excellence in the Information Science Division within the All-Domain Analytics and Signatures Office (A2SO) at the Applied Research Laboratory (ARL). 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. You will focus on hands-on work with classified multi-modal data, including imagery/FMV, geospatial and AIS tracks, signals and sensor data, and text-based intelligence reports and develop pipelines, annotation frameworks, and quality assurance processes while gaining deep exposure to state-of-the-art AI/ML research.
ARL is an authorized DoD Skillbridge partner and welcomes all transitioning military members to apply.
You will:
  • Label, annotate, and curate multi-modal datasets (imagery/FMV, geospatial, signals, text/documents) to support AI/ML model development and evaluation
  • Design and implement data pipelines for ingestion, transformation, quality control, and cataloging of classified and open-source data
  • Develop and maintain annotation standards, labeling guidelines, and data governance processes to ensure consistency and reproducibility across projects
  • Conduct IV&V of datasets and model outputs to ensure data integrity, label accuracy, and fitness for intended use
  • Collaborate with research scientists, algorithm developers, and program stakeholders to identify, acquire, and prioritize data requirements for specific AI/ML projects
  • Build and maintain data catalogs, metadata schemas, and access-controlled repositories that make curated datasets discoverable and accessible to the broader research team
  • Employ Python, SQL, and annotation platforms (e.g., CVAT, Label Studio) to automate labeling workflows, perform exploratory data analysis, and develop quality metrics
  • Document data provenance, lineage, and known limitations to support model evaluation, reproducibility, and responsible AI practices
  • Collaborate within an Agile development environment as part of 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
  • Proficiency in Python and SQL for data manipulation, analysis, and pipeline development
  • Familiarity with data annotation tools and workflows (e.g., CVAT, Label Studio, or equivalent)
  • Understanding of machine learning concepts, including how data quality impacts model training, evaluation, and deployment

Preferred Skills/Experience areas include:
  • 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 quality assurance practices for data-driven systems
  • Exposure to containerized development environments (Docker, Kubernetes) and cloud platforms (AWS, Azure)
  • Current eligibility for access to classified information at the TS/SCI level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required

Your working location will be fully on-site, located in State College, PA or Reston, VA. Questions related to flexible work should be directed to the hiring manager during the interview process.
MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS
If filled as R&D Engineer - Artificial Intelligence (ARL) - Advanced Professional, this position requires:Bachelor's Degree - Engineering or Science5+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Artificial Intelligence (ARL) - Intermediate Professional, this position requires:Bachelor's Degree - Engineering or Science2+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Artificial Intelligence (ARL) - Professional, this position requires:Bachelor's Degree - Engineering or ScienceNo prior relevant work experience requiredRequired 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 www.arl.psu.edu.
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. You must be a U.S. citizen to apply.
SALARY & BENEFITS
The salary range for this position, including all possible grades, is $110,520.00 - $240,960.00. 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 814-865-1473.
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