ZipRecruiter

Log In

1

Data Annotation Jobs in Potomac, MD (NOW HIRING)

YO AI Labs

AI Consulting Expert - Remote

Washington, DC · Remote

$100 - $200/hr

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in strategy consulting, management consulting ...

previous page

Showing results 41-60

All JobsData Annotation JobsData Annotation Jobs in Potomac, MD

Data Annotation information

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What are the most commonly searched types of Data Annotation jobs in Potomac, MD?

The most popular types of Data Annotation jobs in Potomac, MD are:

What are popular job titles related to Data Annotation jobs in Potomac, MD?

For Data Annotation jobs in Potomac, MD, the most frequently searched job titles are:

What job categories do people searching Data Annotation jobs in Potomac, MD look for?

The top searched job categories for Data Annotation jobs in Potomac, MD are:

What cities near Potomac, MD are hiring for Data Annotation jobs?

Cities near Potomac, MD with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Potomac, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

AI/ML Test Engineer

Modern Technology Solutions, Inc. (MTSI)

Springfield, VA • On-site

Full-time

Posted 13 days ago

Job description

Job Summary:
Modern Technology Solutions, Inc. (MTSI) is hiring an AI/ML Test Engineer in Springfield, VA. The role involves executing system-level AI/Machine Learning evaluation activities, performing integration testing, and supporting automated evaluation pipelines for AI/ML model testing and performance assessment.
Responsibilities:
• Execute system-level AI/Machine Learning evaluation activities within the Test & Evaluation (T&E) environment supporting mission-focused operational testing.
• Perform integration testing, data capture, drift detection, and operational validation activities across AI/ML evaluation workflows.
• Support automated and semi-automated evaluation pipelines for AI/ML model testing and performance assessment.
• Develop, maintain, and refine data annotation workflows supporting operational evaluation requirements.
• Validate operational datasets and support testing activities across multiple models, datasets, and mission scenarios.
• Conduct integration testing of AI/ML models within operationally representative environments and workflows.
• Adapt evaluation procedures and workflows to address evolving GEOINT data conditions and operational mission requirements.
• Support high-throughput and parallel model evaluation activities to maintain alignment with mission timelines and operational priorities.
• Identify and mitigate data drift, performance degradation, and workflow issues impacting evaluation reliability.
• Collaborate with Senior AI/ML Test Engineers, data scientists, software engineers, and mission stakeholders to support scalable T&E execution.
• Contribute to technical documentation, evaluation reporting, and customer briefings supporting operational decision-making.
Qualifications:
Required:
• U.S. citizenship
• TS/SCI clearance
• CI Polygraph
• 4+ years of experience supporting AI/ML testing, system integration, operational testing, or evaluation workflows.
• Familiarity with automated testing pipelines, operational data validation, and model performance assessment concepts.
• Ability to support multiple evaluation activities across dynamic operational environments.
• Experience troubleshooting technical workflow or data-related issues in support of operational objectives.
• Strong analytical, organizational, and communication skills.
• Bachelor’s degree in IT or STEM related field, or additional relevant experience in lieu of a degree.
• Active TS/SCI clearance and the ability to pass a CI polygraph within 30 days.
Preferred:
• Experience supporting DoD, NGA, or Intelligence Community programs.
• Familiarity with AI/ML model evaluation, GEOINT workflows, and operational testing environments.
• Experience working in Agile, DevSecOps, or cloud-based operational environments.
• Familiarity with annotation workflows, data capture pipelines, drift detection, and automated evaluation tools.
• Experience supporting scalable AI/ML evaluation or mission-focused T&E activities.
Company:
Modern Technology Solutions, Inc. Founded in 1993, the company is headquartered in Alexandria, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply