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Label Studio Jobs in Washington, DC (NOW HIRING)

TMZ DC Intern - Fall 2026

Washington, DC · On-site

$17 - $22.75/hr

Chasing Michelin Stars; entertainment studio TMZ; and the independent film label Tideline. FOX Entertainment Global is the company's worldwide content sales and distribution arm. As part of its ...

Chasing Michelin Stars; entertainment studio TMZ; and the independent film label Tideline. FOX Entertainment Global is the company's worldwide content sales and distribution arm. As part of its ...

Review, label, and categorize images to support machine learning and AI model training. * Follow ... CaseGuard Studio is one of its kind. Our team is driven by a passion for great software design, the ...

Review, label, and categorize images to support machine learning and AI model training. * Follow ... CaseGuard Studio is one of its kind. Our team is driven by a passion for great software design, the ...

We work at an amazing studio in Union Market at 301 N St. NE, Washington, DC. We are always on the ... JUST Certified company - check out our label ratings! -cole-receives-just-label/ * Parking ...

Organize, sync, label, and manage footage and project assets * Build rough cuts, fine cuts, and ... creative studio in Leesburg, Virginia designed specifically for filmmakers, editors, and ...

We work at an amazing studio in Union Market at 301 N St. NE, Washington, DC. We are always on the ... JUST Certified company - check out our label ratings! * Parking/transportation pre-tax program

Senior .NET Developer

Mclean, VA

$55.50 - $70.75/hr

Proficiency with MS Team Foundation Server and Visual Studio * Strong SQL Server database skills ... on green label "I am Interested" or call if you have any question however applying online is the ...

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Label Studio information

See Washington, DC salary details

$31.7K

$60.5K

$87.8K

How much do label studio jobs pay per year?

As of Aug 7, 2026, the average yearly pay for label studio in Washington, DC is $60,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $68,000.00 per year, depending on experience, location, and employer.

What are common challenges faced when working as a Label Studio annotator, and how can they be addressed?

One frequent challenge in a Label Studio role is ensuring consistent and accurate data annotation, especially when dealing with ambiguous or complex data. Annotators often need to interpret guidelines carefully and collaborate closely with team members to resolve uncertainties. Regular communication with project managers, participation in calibration sessions, and thorough review of annotation instructions can help maintain high-quality output. Additionally, using Label Studio’s built-in collaboration and review features streamlines feedback and quality control, making it easier to address inconsistencies as a team.

What skills and qualifications are needed to work as a Label Studio data annotation specialist?

To excel as a Label Studio Data Annotation Specialist, you need a solid understanding of data labeling concepts, attention to detail, and experience with data annotation processes, often supported by familiarity with machine learning workflows. Proficiency in using the Label Studio platform, knowledge of data formats like JSON and CSV, and occasionally scripting skills in Python are valuable technical assets. Strong communication, teamwork, and problem-solving abilities help you interpret guidelines and collaborate with data science teams. These skills ensure high-quality, consistent labeled data, which is critical for training accurate machine learning models.

What is Label Studio?

Label Studio is an open-source data labeling tool that enables users to annotate various types of data, including images, text, audio, and videos. It is widely used for preparing training datasets for machine learning and artificial intelligence applications. Label Studio supports customizable labeling interfaces, collaborative annotation workflows, and integrates easily with other data science tools. Its flexibility and extensibility make it a popular choice for both individual researchers and enterprise teams.

What is the difference between Label Studio vs Data Annotator?

AspectLabel StudioData Annotator
Required CredentialsBasic technical skills, familiarity with annotation toolsTypically high school diploma or equivalent, on-the-job training
Work EnvironmentSoftware platform, remote or on-siteOffice or remote, depending on employer
Industry UsageData labeling for AI/ML projects across various industriesData annotation tasks within organizations or outsourcing firms
Common Search IntentTools for data labeling, annotation softwareJob roles in data annotation, entry-level labeling jobs

Label Studio is a versatile data labeling tool used by professionals to create training data for AI models, while Data Annotator refers to the role of performing data labeling tasks, often as an entry-level position. Both are integral to AI development, but Label Studio is a software platform, whereas Data Annotator is a job role.

What are popular job titles related to Label Studio jobs in Washington, DC? For Label Studio jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Label Studio jobs in Washington, DC look for? The top searched job categories for Label Studio jobs in Washington, DC are:
Infographic showing various Label Studio job openings in Washington, DC as of August 2026, with employment types broken down into 48% Full Time, 36% Part Time, and 16% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $60,480 per year, or $29.1 per hour.

Artificial Intelligence / Machine Learning Lead Verification and Validation Engineer

The Pennsylvania State University

Reston, VA • On-site, Remote

$106K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


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, seeNotice 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 Science 19+ years of relevant experience Required Certifications: None If filled as R&D Engineer - Artificial Intelligence (ARL) - Senior Professional, this position requires: Bachelor's Degree - Engineering or Science 14+ years of relevant experience Required 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 atwww.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 $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 814-865-1473.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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