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Data Annotation Jobs in Gaithersburg, MD (NOW HIRING)

Axle

Data Scientist II

Rockville, MD · On-site

... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ... Data Integration and Lifecycle Support: Enable reliable data movement from source systems into ...

B&A

Geospatial Data Analyst

Mclean, VA · On-site

$75K - $82K/yr

Description Geospatial Data Analyst At B&A, we foster and embrace a distinct set of values that we ... Create, edit, and position geographic names, labels, annotation, symbols, and other map elements ...

Bart & Associates

Geospatial Data Analyst

Mclean, VA · On-site

Geospatial Data Analyst At B&A, we foster and embrace a distinct set of values that we live by and ... annotation, symbols, and other map elements using established placement techniques to minimize ...

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All JobsData Annotation JobsData Annotation Jobs in Gaithersburg, 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 Gaithersburg, MD?

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

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

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

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

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

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

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Gaithersburg, MD as of August 2026, with employment types broken down into 62% Full Time, 23% Part Time, and 15% Contract. Highlights an 70% In-person, and 30% Remote job distribution.

Machine Learning Engineer - Computer Vision

CaseGuard

Arlington, VA • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
CaseGuard is a software company that helps law enforcement agencies, federal agencies, hospitals, schools, airports, and others manage all their media redaction needs in one easy-to-use redaction software. They are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to develop and deploy machine learning models focused on image and video processing.
Responsibilities:
• Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition.
• Optimize and fine-tune deep learning algorithms for real-time performance.
• Work closely with the software engineers and product teams to identify opportunities for leveraging data.
• Collect, clean, and preprocess large datasets to prepare for model training and evaluation.
• Evaluate and optimize machine learning models for accuracy, performance, and scalability.
• Deploy models into production environments and monitor their performance to ensure reliability.
• Stay up-to-date with the latest advancements in computer vision and artificial intelligence.
• Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
• Document processes, models, and implementations to ensure reproducibility and scalability.
Qualifications:
Required:
• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools.
• Experience with data manipulation tools such as Pandas, NumPy, and SQL.
• Strong programming skills in Python and C++.
• Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm.
• Proficiency in working with image and video data, including preprocessing and augmentation techniques.
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning.
• Strong communication skills and the ability to work collaboratively in a team environment.
Preferred:
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience with version control systems such as Git.
• Understanding software engineering best practices, including code review, testing, and documentation.
• Experience with Large Language Models (LLMs) is a great plus.
• Experience with data annotation tools and processes.
Company:
CaseGuard is a management solutions company. Founded in , the company is headquartered in Sterling, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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