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Ai Object Detection Jobs (NOW HIRING)

Detect

AI Engineer - Computer Vision

Miami, FL

As a AI Engineer on the Computer Vision team, your primary focus will be contributing to the ... Design, train, and evaluate deep learning models for object detection, segmentation and ...

Detect

AI Engineer - Computer Vision

Miami, FL · On-site

As a AI Engineer on the Computer Vision team, your primary focus will be contributing to the ... Design, train, and evaluate deep learning models for object detection, segmentation and ...

Vizor

AI Automation & Engineering Intern

New York, NY · On-site

$20/hr

Train, refine, and deploy object detection models for product identification, robotic picking ... AI tools and agents * computer vision * object detection systems * automation systems * Python ...

Estaff LLC

Senior AI/ML Software Developer

Austin, TX · On-site

$54 - $71.25/hr

We are seeking a Senior AI/ML Software Developer for a hybrid position (2 days/wk in South Austin ... object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE • MLOps Tools:

Chabez Tech LLC

Senior Cloud AI/ML Specialist

Dallas, TX

$55.50 - $74/hr

We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google ... Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or ...

Vizor

AI Automation & Engineering Intern

New York, NY · On-site

$20/hr

Train, refine, and deploy object detection models for product identification, robotic picking ... AI tools and agents * computer vision * object detection systems * automation systems * Python ...

Babel Street

Image & Computer Vision AI Engineer

Reston, VA · On-site

$119K - $143K/yr

Develop and support object detection, image similarity, and scene understanding models ... Support multimodal AI workflows that combine image embeddings with LLM-based search and reasoning.

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

Skild AI is building the world's first general purpose robotic intelligence that adapts to unseen ... object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data ...

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How much do ai object detection jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for ai object detection in the United States is $53.11, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $68.51 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

AI object detection specialists, data scientists, and cybersecurity professionals are likely to continue thriving as AI advances, because these roles require complex problem-solving, domain expertise, and oversight of AI systems. Skills in programming, machine learning, and critical thinking are essential for these jobs to adapt and remain relevant in an AI-driven workplace.

What are the key skills and qualifications needed to thrive as an AI Object Detection Engineer, and why are they important?

To thrive as an AI Object Detection Engineer, you need strong skills in computer vision, deep learning, and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with GPU computing and relevant certifications, is typically required. Analytical thinking, attention to detail, and effective collaboration are important soft skills that help drive innovative solutions. These skills and qualities are crucial for building accurate, efficient detection models and successfully deploying AI solutions in real-world applications.

What are some common challenges faced by AI Object Detection specialists when deploying models to production environments?

AI Object Detection specialists often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing inference speed for real-time applications, and managing large-scale annotated datasets. Deploying models requires close collaboration with data engineers, software developers, and quality assurance teams to address integration issues and maintain consistent performance. Staying up-to-date with the latest frameworks and hardware acceleration techniques is also crucial for overcoming these challenges and ensuring successful deployments.

What is AI object detection?

AI object detection is a computer vision technology that uses artificial intelligence to identify and locate objects within images or videos. It not only classifies objects but also determines their position through bounding boxes or segmentation. This technology is widely used in applications such as autonomous vehicles, surveillance, medical imaging, and retail analytics. AI object detection leverages deep learning models, often based on neural networks, to improve accuracy and speed. As the technology advances, its use cases continue to expand across various industries.
Infographic showing various Ai Object Detection job openings in the United States as of June 2026, with employment types broken down into 18% Internship, 73% Full Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,464 per year, or $53.1 per hour.

Computer Vision Engineer (Object Detection & Tracking)

ZeroMark

New York, NY • On-site

$122K - $143K/yr

Full-time

Posted 18 days ago

Job description

About Us
ZeroMark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.
We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats-because a $200 drone shouldn't require a million-dollar countermeasure.
Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world-we're too busy actually doing it. Watch us in action here. Dark humor required, thick skin recommended.
If you want to make an actual impact-and have some unforgettable Tuesday afternoons along the way-let's talk. We're all about delivering practical, field-tested tech, not just theories.
What You'll Do
We are seeking an experienced and highly motivated Principal Computer Vision Engineer to join our team. This role is focused on developing and optimizing advanced computer vision algorithms for aerial object detection and tracking. The ideal candidate will have a strong background in computer vision, deep learning, and deep learning, with experience in the defense sector.
  • Contribute to the implementation of computer vision algorithms for aerial object detection and tracking.
  • Conduct research and stay up-to-date with the latest advancements in computer vision and deep learning to ensure our solutions remain at the forefront of technology.
  • Collaborate with cross-functional teams, including software engineers, hardware engineers, and data scientists, to integrate computer vision solutions into our defense systems.
  • Optimize and enhance existing algorithms for improved accuracy, efficiency, and real-time performance.
  • Analyze and interpret complex data sets to improve detection and tracking accuracy.
  • Help ensure compliance with industry standards and regulatory requirements in all developed solutions.

What You'll Need
  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision and machine learning.
  • Minimum of 2 years of experience in computer vision and object detection.
  • Strong programming skills in Python, C++, and familiarity with relevant libraries such as OpenCV, TensorFlow, PyTorch, etc.
  • Proven experience in developing and deploying machine learning and deep learning models in real-world applications.
  • In-depth knowledge of image processing, feature extraction, object detection, and tracking algorithms.
  • Excellent problem-solving skills, with the ability to think critically and innovate.
  • Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Ability to work effectively in a team-oriented, collaborative environment.

Bonus Points
  • Experience with drone technology and UAV systems.
  • Knowledge of radar, LIDAR, and other sensing technologies.
  • Experience in 3d perception or similar fields.
  • Familiarity with cloud computing platforms and edge computing.

What We Offer
  • Competitive salary, equity, and benefits package.
  • Opportunity to work on cutting-edge technology with a significant impact on national security.
  • A collaborative work environment that values innovation.
  • Professional development opportunities and career growth.

Apply