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Ai Image Jobs in Washington (NOW HIRING)

Citian

AI Integration Engineer

Washington, DC

$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 ...

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 ...

Citian

AI Integration Engineer

Washington, DC

$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 ...

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 ...

Dufry

Digital Creative Manager

Bethesda, MD · On-site

$82K - $100K/yr

Advanced proficiency in Adobe Creative Suite (Photoshop, Illustrator, Lightroom), AI image generation tools (e.g., Midjourney), and Microsoft PowerPoint * Excellent attention to detail and ability to ...

HMSHost

Digital Creative Manager

Bethesda, MD · On-site

$82K - $100K/yr

Advanced proficiency in Adobe Creative Suite (Photoshop, Illustrator, Lightroom), AI image generation tools (e.g., Midjourney), and Microsoft PowerPoint * Excellent attention to detail and ability to ...

Dufry

Digital Creative Manager

Bethesda, MD · On-site

$82K - $100K/yr

Advanced proficiency in Adobe Creative Suite (Photoshop, Illustrator, Lightroom), AI image generation tools (e.g., Midjourney), and Microsoft PowerPoint * Excellent attention to detail and ability to ...

UNISSANT

Senior AI Systems Architect

Ashburn, VA · On-site

Image analysis and object detection * Anomaly detection * Predictive analytics * NLP and summarization services * Intelligent search and semantic retrieval * Design scalable pipelines for AI model ...

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Ai Image information

What is an AI image?

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.

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.

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 reviewer job?

An AI image reviewer job involves evaluating and moderating images generated or shared through AI systems to ensure they meet content guidelines and quality standards. Reviewers use specialized tools and often work remotely, requiring attention to detail and understanding of content policies. The role helps maintain safe and appropriate visual content online.

What are popular job titles related to Ai Image jobs in Washington?

For Ai Image jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Ai Image jobs in Washington look for?

The top searched job categories for Ai Image jobs in Washington are:

Ai Image jobs near you
Infographic showing various Ai Image job openings in Washington as of August 2026, with employment types broken down into 51% Full Time, and 49% Part Time. Highlights an 84% In-person, and 16% Remote job distribution.

AI Integration Engineer

Citian

Washington, DC

$117K - $158K/yr

Full-time

Re-posted 28 days ago

Job description

Who You Are:

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside our Engineering, Data, and Research teams to build scalable processes and find solutions to improve our data integrity.  You will be expected to prototype ideas, assess third-party tools and models, and translate technical findings into actionable product decisions. You are resourceful, innovative, and continuously seek opportunities to improve processes and drive efficiency. Your strong communication and collaboration skills enable you to work effectively with cross-functional teams and stakeholders. If you are passionate about applied AI Engineering and are eager to contribute to the success of a startup, we would love to hear from you.

Expected Duties:

  • Serve as the domain bridge between civil/transportation engineering knowledge and AI capabilities, evaluating whether AI outputs meet real-world infrastructure standards and directing the team accordingly.
  • You will help guide teams on prompting techniques, model capabilities, domain specific finetuning
  • Help lead our efforts to get models to perform how we want them to, including enabling models with tool use and other techniques to get the best out of the LLMs.
  • Work closely with our Data team and specific datasets that can be used for continued pre-training, RLHF, in-context-learning (ICL), and other applications.
  • Lead AI image recognition and computer vision strategies for infrastructure asset data extraction assessing model approaches, overseeing implementation, and validating outputs against domain benchmarks.
  • Contribute to fine-tuning strategy for transportation/infrastructure-specific models by collaborating with the research team on domain adaptation, benchmarking, and model evaluation.
  • Evaluate and recommend third-party AI tools, APIs, and foundation models relevant to Citian's use cases, balancing build vs. buy tradeoffs in coordination with Engineering.
  • Own and manage the application of AI to QA/QC processes; directing strategy, evaluating outputs for domain accuracy, and iterating with the Data team to continuously improve data quality and integrity.

Required Skills & Experience:

  • Bachelor's in Computer Science, Data Science, or related field
  • 5+ years of professional experience through work or personal projects
  • 1+ years of AI focused experience ideally within a product environment
  • Strong understanding of Computer Science topics such as optimization and algorithms
  • Understanding of Python/SQL code and ability to retrieve and store data safely through a back end
  • Familiarity with RESTful APIs and back-end concepts sufficient to prototype, test, and evaluate integrations. Hands-on implementation experience a plus but not required.
  • Experience with cloud services, specifically AWS, and the ability to leverage its features for scalable back-end AI solutions is highly desired. (S3, Lambda Functions)
  • Experience with computer vision or AI image recognition applications, even at a prototyping or evaluation level.
  • Meaningful exposure to civil engineering, transportation infrastructure, or geospatial data, sufficient to critically evaluate AI outputs in these domains and communicate credibly with domain experts.
  • Capacity to communicate solutions with teammates

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