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Image Assistant Jobs in Virginia (NOW HIRING)

Hatch IT

Image & Computer Vision AI Engineer

Reston, VA

$140K - $170K/yr

Write clean, maintainable Python code and contribute to production services and APIs. * Assist with ... Experience working with large image datasets and production ML pipelines. * Ability to work ...

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Image Assistant information

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$9

$18

$57

How much do image assistant jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for image assistant in Virginia is $18.96, according to ZipRecruiter salary data. Most workers in this role earn between $11.69 and $18.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an image assistant?

To thrive as an Image Assistant, you need a solid understanding of photography principles, image editing, and digital asset management, often supported by relevant coursework or experience. Familiarity with software like Adobe Photoshop, Lightroom, and digital asset management systems is typically required. Attention to detail, organization, and effective communication are valuable soft skills in this role. These abilities ensure high-quality image processing, efficient workflow, and smooth collaboration with creative teams.

How does an image assistant typically collaborate with photographers and other creative team members during a project?

As an Image Assistant, you will often work closely with photographers, art directors, stylists, and retouchers to ensure that images meet the desired creative vision. Your responsibilities may include preparing equipment, organizing digital files, assisting with lighting setups, and managing image metadata. Effective communication and attention to detail are essential, as you'll frequently need to interpret creative briefs and provide support throughout the shoot or editing process. This collaborative environment offers valuable learning opportunities and exposure to different aspects of the creative production workflow.

What is the difference between Image Assistant vs Photo Editor?

AspectImage AssistantPhoto Editor
CredentialsHigh school diploma or equivalent; basic photography knowledgeDiploma or degree in photography, graphic design, or related field
Work EnvironmentPhotography studios, fashion shoots, advertising agenciesMedia companies, magazines, advertising agencies
ResponsibilitiesAssisting with setup, managing equipment, basic editingEditing photos, retouching, color correction, creative adjustments

While both roles involve working with images, an Image Assistant primarily supports photographers by handling equipment and basic tasks, whereas a Photo Editor focuses on the creative editing and enhancement of images. The roles often overlap in environments like fashion or advertising, but their core responsibilities differ significantly.

What is an image assistant?

Image Assistants are professionals who support the production, editing, and management of visual content, such as photographs, graphics, or digital images. They often assist photographers, designers, or marketing teams by organizing images, preparing files for editing, adjusting basic image properties, and ensuring images meet project specifications. Their role may also include handling image metadata, performing basic retouching, and ensuring that all visual assets are properly archived and accessible. Image Assistants help streamline the workflow for creative teams and ensure that image assets are delivered efficiently and to standard.
What are the most commonly searched types of Image jobs in Virginia? The most popular types of Image jobs in Virginia are:
What cities in Virginia are hiring for Image Assistant jobs? Cities in Virginia with the most Image Assistant job openings:
Image Assistant jobs near you
Infographic showing various Image Assistant job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $39,445 per year, or $19 per hour.

Image & Computer Vision AI Engineer

Hatch IT

Washington, VA • On-site

Full-time

Re-posted 21 days ago

Job description

hatch I.T. is partnering with Babel Street to find an Image & Computer Vision AI Engineer. Please see details below:
About the Role
As an Engineer on the Image & Computer Vision AI team, you will play a hands-on role in developing and deploying computer vision capabilities that support Babel Street's intelligence applications. You will build systems that extract, analyze, and reason over visual data-enabling facial matching, object and scene understanding, geolocation and location inference from imagery, and multimodal intelligence workflows.
This role is execution-focused and suited for engineers with strong foundations in computer vision, image processing, and machine learning who want to apply their skills to real-world, mission-driven problems. You will work closely with AI, Product, and Engineering teams to deliver reliable, scalable, and cost-efficient vision capabilities, including integration with multimodal LLM systems that allow users to search and reason over images using natural language.
This is a hybrid role to be based out of either their Reston, VA/Washington DC office or their Somerville MA office.
About the Company
Babel Street is the trusted technology partner for the world's most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.
Role Focus:
This role spans three practical execution areas:
Computer Vision & Image Analytics
You will implement and operate image analytics pipelines that support facial matching, object detection, scene understanding, and image similarity. This includes image preprocessing, feature extraction, model inference, evaluation, and performance optimization to meet mission-grade accuracy and latency requirements.
Geospatial & Location Inference from Imagery
You will contribute to capabilities that infer location, context, or environmental attributes from imagery-leveraging visual cues, metadata, and learned representations. This includes supporting image-based geolocation, landmark recognition, and contextual scene analysis used in intelligence workflows.
Multi-Modal AI & Image Search
You will support multimodal AI systems that combine vision models with LLMs, embeddings, and retrieval pipelines to enable natural-language search and reasoning over images and image collections. You will help integrate visual understanding into broader intelligence applications and workflows.
What you will do:
  • Build and maintain computer vision pipelines for image ingestion, preprocessing, inference, and evaluation.
  • Implement facial matching, and identity-related vision workflows in accordance with accuracy, safety, and compliance requirements.
  • Develop and support object detection, image similarity, and scene understanding models.
  • Contribute to image-based geolocation and location inference capabilities using visual features and contextual signals.
  • Support multimodal AI workflows that combine image embeddings with LLM-based search and reasoning.
  • Write clean, maintainable Python code and contribute to production services and APIs.
  • Assist with model evaluation, bias testing, and accuracy monitoring for vision systems.
  • Optimize inference pipelines for performance, scalability, and cost efficiency (GPU usage, batching, model selection).
  • Collaborate with Product and Engineering teams to integrate vision capabilities into user-facing intelligence applications.

What you will bring:
Required
  • 3+ years of experience in computer vision, image processing, or applied machine learning.
  • Hands-on experience with computer vision models and techniques (e.g., CNNs, transformers for vision, feature embeddings).
  • Experience building or integrating image analytics such as facial recognition, object detection, or image similarity.
  • Strong programming skills in Python; experience with common CV/ML libraries (PyTorch, TensorFlow, OpenCV, etc.).
  • Solid understanding of machine learning fundamentals, model evaluation, and performance tradeoffs.
  • Experience working with large image datasets and production ML pipelines.
  • Ability to work collaboratively in a fast-moving, mission-driven engineering environment.

Preferred
  • Experience with facial matching or biometric systems in regulated or high-stakes environments.
  • Experience with image-based geolocation or scene/location inference.
  • Familiarity with multimodal AI systems, including combining vision models with LLMs or natural-language search.

Education:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field required.
    Advanced degree is a plus but not required.

$140,000 - $170,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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