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Image Recognition Jobs (NOW HIRING)

InterImage

... pattern recognition in high-resolution images, particularly from microscopes. Proficiency in ... Familiarity with image preprocessing techniques (e.g., noise reduction, contrast enhancement, edge ...

Citian

AI Integration Engineer

Washington, DC · On-site

$117K - $158K/yr

Lead AI image recognition and computer vision strategies for infrastructure asset data extraction assessing model approaches, overseeing implementation, and validating outputs against domain ...

GeoYeti

Expert Data Scientist

Augusta, GA · On-site

Apply data science techniques -- regression, NLP, clustering, neural networks, deep learning, image recognition -- to geospatial problems * Develop and employ algorithms supporting GEOINT mission ...

Circana

VP II, AI Innovation - OCR (Level 21)

Role Overview The VP of AI Innovation - OCR/Image Recognition, will lead innovation, development, and execution of next generation AI-driven OCR and Image Recognition capabilities. This role will ...

Maven LLC

Software Engineer

Columbus, OH · Hybrid

We also use custom image-recognition algorithms to analyze test images sent to us by the technicians. We have a great team of bright minds who visualize the future of our application, and we are ...

Y & L Consulting Inc.

RPA Developer

San Antonio, TX

... Image Recognition and Keystrokes in AA * MS Excel reconciliations treating Excel as SQL database in AA, VBA Macros & VBScript * PDF integration by extracting PDF data to text document and string ...

Hansen Auction Group

Asset Coordinator

Neenah, WI · On-site

Proficient with modern technology and AI-assisted tools (image recognition, asset identification, automated cataloging) to accuratelyidentify, describe, and value assets PHYSICAL ENVIRONMENT

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How much do image recognition jobs pay per year?

As of Jun 7, 2026, the average yearly pay for image recognition in the United States is $54,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $59,000.00 per year, depending on experience, location, and employer.

What are some common day-to-day responsibilities in an Image Recognition job?

Professionals in Image Recognition typically spend their days developing and training machine learning models to identify objects or patterns in images, labeling datasets, and evaluating algorithm performance. Collaborating with data scientists, software engineers, and product managers is a regular part of the workflow to ensure integration into larger systems. You may also work on optimizing models for speed and accuracy, researching new techniques, or troubleshooting issues with data quality. Staying up to date on advancements in computer vision helps contribute to innovative and effective solutions.

What is an Image Recognition job?

An Image Recognition job involves developing, training, and optimizing computer vision models to analyze and interpret images. Professionals in this field work with machine learning algorithms, neural networks, and large datasets to enable systems to recognize patterns, objects, and features in visual data. Roles may include data annotation, model development, and performance evaluation to improve accuracy. Applications range from facial recognition and autonomous vehicles to medical imaging and industrial automation. Strong skills in programming, deep learning frameworks, and data processing are typically required.

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

To thrive in Image Recognition roles, you need a solid background in computer vision, machine learning, programming (often Python or C++), and typically a relevant technical degree. Familiarity with deep learning frameworks like TensorFlow or PyTorch, as well as experience with large-scale data processing tools, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills. These skills enable you to develop accurate image recognition systems, optimize performance, and collaborate effectively on multidisciplinary teams.

More about Image Recognition jobs
What are the most commonly searched types of Image Recognition jobs? The most popular types of Image Recognition jobs are:
What states have the most Image Recognition jobs? States with the most job openings for Image Recognition jobs include:
What job categories do people searching Image Recognition jobs look for? The top searched job categories for Image Recognition jobs are:
Image Recognition jobs near you
Infographic showing various Image Recognition job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $54,138 per year, or $26 per hour.

Image & Computer Vision AI Engineer

Hatch IT

Washington, VA • On-site

Full-time

Posted 14 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. 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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