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Google Annotation Jobs in Silver Spring, MD (NOW HIRING)

BAE Systems

Imagery Anst II

Falls Church, VA · On-site

$79K - $134K/yr

... Google Earth. * Attended a certified imagery schoolhouse or the Geospatial Intelligence Training Program. * Experience with Machine Learning training data creation, annotation, and review as well as ...

BAE Systems

Imagery Anst Sr

Falls Church, VA · On-site

$95K - $161K/yr

... Google Earth. * Attended a certified imagery schoolhouse or the Geospatial Intelligence Training Program. * Experience with Machine Learning training data creation, annotation, and review as well as ...

BAE Systems

Imagery Anst Sr

Sterling, VA · On-site

$95K - $161K/yr

... Google Earth. * Attended a certified imagery schoolhouse or the Geospatial Intelligence Training Program. * Experience with Machine Learning training data creation, annotation, and review as well as ...

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All JobsGoogle Annotation JobsGoogle Annotation Jobs in Silver Spring, MD

Google Annotation information

See Silver Spring, MD salary details

$46.5K

$60.4K

$100.8K

How much do google annotation jobs pay per year?

As of Aug 16, 2026, the average yearly pay for google annotation in Silver Spring, MD is $60,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $60,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google Annotation position, and why are they important?

To thrive as a Google Annotation Specialist, you need strong attention to detail, analytical skills, and a basic understanding of data labeling principles, often supported by a background in computer science or related fields. Familiarity with annotation tools such as Labelbox, internal Google platforms, and spreadsheet software is typically required. Strong communication, time management, and the ability to follow detailed guidelines make candidates stand out in this position. These skills and qualities are vital to ensure high-quality labeled data, which is essential for training accurate machine learning models and supporting AI development.

What is a Google Annotation?

A Google Annotation job involves labeling, tagging, or categorizing data—such as images, videos, or text—to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in their work. This role is crucial for improving AI systems used in search, automation, and recognition technologies. The job may require attention to detail and familiarity with different annotation tools.

What does a typical day look like for someone working in Google Annotation?

As a Google Annotation Specialist, your day often involves reviewing and labeling large volumes of data—such as images, text, or audio—according to specific project guidelines. You will work both independently and in collaboration with quality assurance teams to ensure consistency and accuracy in your annotations. Regular feedback sessions and periodic revisions are common as project requirements evolve. Many teams work in a fast-paced, deadline-driven environment, and attention to detail is key to meeting quality standards and supporting vital AI initiatives.

What are popular job titles related to Google Annotation jobs in Silver Spring, MD?

For Google Annotation jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Google Annotation jobs in Silver Spring, MD look for?

The top searched job categories for Google Annotation jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Google Annotation jobs?

Cities near Silver Spring, MD with the most Google Annotation job openings:

Google Annotation jobs near you
Infographic showing various Google Annotation job openings in Silver Spring, MD as of August 2026, with employment types broken down into 50% Full Time, 13% Part Time, 31% Contract, and 6% Nights. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $60,388 per year, or $29 per hour.

Machine Learning Engineer - Computer Vision

CaseGuard

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

We are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models focused on image and video processing. You will work closely with cross-functional teams to design, implement, and optimize vision-based AI solutions to address real-world challenges.
Key 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.

Required Qualifications:
  • 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.

Great to have:
  • 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.

Benefits:
  • Competitive Salary
  • Stock Option
  • Medical, Dental, and Vision Insurance
  • 401K
  • Paid Vacation
  • Ten paid holidays per year
  • Friendly and Learning environment

About CaseGuard
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. CaseGuard Studio is one of a kind. Our team is driven by a passion for great software design, creating great products, and creative processes; CaseGuard implements innovative ideas across multiple services and agencies. We invest in people. We nurture skills consistent with our values and our future strategy. Our passionate pursuit of excellence, the application of our creativity to solve our clients' challenges, our technical expertise, and our collaborative spirit are measures of our success.

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