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Ai Image Jobs (NOW HIRING)

Stylitics

Software Engineer, AI Image Studio

About the Role Stylitics is growing a new product line leveraging AI Image generation with all the power of the existing outfitting knowledge. This role is a foundational part of a rapidly growing ...

Babel Street

Image & Computer Vision AI Engineer

Reston, VA · On-site

$119K - $143K/yr

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.

Faraday Future

AI Designer

El Segundo, CA

$21.50 - $28.75/hr

AI Image-to-Video Production: Convert still imagery, product references, and brand assets into polished short-form and hero-level AI-generated video, covering product hero shots, scenario demos ...

Faraday Future

AI Designer

El Segundo, CA

$21.50 - $28.75/hr

AI Image-to-Video Production: Convert still imagery, product references, and brand assets into polished short-form and hero-level AI-generated video, covering product hero shots, scenario demos ...

CoCreativ

AI Artist (freelance to hire)

New York, NY · On-site

$500 - $800/day

We combine traditional production expertise with cutting-edge AI image and video technologies to deliver commercially viable creative work at scale. As AI continues to reshape the creative industry ...

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How much do ai image jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for ai image in the United States is $33.92, according to ZipRecruiter salary data. Most workers in this role earn between $27.40 and $38.22 per hour, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, machine learning executives, or senior data scientists, often requiring advanced skills, extensive experience, and sometimes equity or performance-based bonuses. These positions are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized technical expertise.

What jobs pay 2000 a day?

High-paying jobs that can earn $2,000 or more per day include specialized roles such as senior software engineers, data scientists, certain medical specialists, and high-level consultants. These positions typically require advanced skills, extensive experience, and often involve project-based or contract work in competitive industries.

How can I make 2000 a week working from home?

To make $2000 a week working from home in an AI image-related role, you can offer freelance services such as creating AI-generated images, selling digital art, or providing custom AI image solutions. Building a strong portfolio, developing skills in AI tools like Midjourney or DALL·E, and marketing your services on freelance platforms can help achieve this income level. Consistent work, high-quality output, and client management are essential for reaching such earnings.

What are the typical day-to-day responsibilities for an AI Image Specialist?

As an AI Image Specialist, your daily tasks typically include developing and refining computer vision models, processing large datasets of images, and collaborating with data scientists and software engineers to integrate algorithms into products. You may also evaluate model performance, troubleshoot anomalies, and present findings to both technical and non-technical teams. Often, this role involves researching new advancements in image AI technology and continuously optimizing models for accuracy and efficiency. You’ll work both independently and as part of a collaborative team, supporting innovative projects in industries such as healthcare, automotive, e-commerce, or security.

Can I make money from AI images?

AI image creators can monetize their work by selling digital art, licensing images, or offering custom AI-generated visuals on platforms like stock image sites or freelance marketplaces. Success often depends on skills in AI tools, marketing, and understanding copyright laws related to AI-generated content.

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

To thrive in an AI Image Specialist role, you need strong expertise in computer vision, image processing, and deep learning, typically supported by a relevant degree in computer science or engineering. Familiarity with tools like TensorFlow, PyTorch, OpenCV, and automated annotation systems is commonly required, and certifications in AI or machine learning can be advantageous. Creativity, problem-solving, and effective communication are crucial soft skills for collaborating on projects and explaining results to stakeholders. These competencies ensure the ability to design, implement, and improve AI-driven image solutions that effectively meet organizational needs.

What is an AI Image job?

An AI Image job involves working with artificial intelligence to generate, edit, or enhance images using machine learning models. Professionals in this field may use tools like DALL·E, MidJourney, or Stable Diffusion to create visual content for various industries, including marketing, design, and entertainment. Responsibilities can include training AI models, fine-tuning image outputs, and optimizing AI-generated visuals for specific needs.

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What cities are hiring for Ai Image jobs? Cities with the most Ai Image job openings:
What are the most commonly searched types of Ai Image jobs? The most popular types of Ai Image jobs are:
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Ai Image jobs near you
Infographic showing various Ai Image job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 61% Full Time, 22% Part Time, 4% Temporary, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $70,561 per year, or $33.9 per hour.

Image & Computer Vision AI Engineer

Hatch IT

Washington, VA • On-site

Full-time

Posted 23 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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