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Ai Object Detection Jobs (NOW HIRING)

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$56.50 - $74.75/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$52 - $68.75/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Company Overview At Skild AI, we are building the world's first general purpose robotic ... Develop and optimize deep learning models for depth estimation, object detection, segmentation ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

At Gather AI, we're not just creating software; we're pioneering a new era of warehouse ... Drive improvements to core computer vision models (object detection, segmentation, OCR) used across ...

CRI

Video Analytics Engineer

Sterling, VA · On-site

AI/Model Validation: Evaluate the performance of computer vision models (object detection, tracking) using datasets, validating against expected metrics. * Defect Detection & Analysis: Identify ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$51.50 - $68/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$53 - $70/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ... AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

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Ai Object Detection information

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$18

$53

$76

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.

Senior Software Developer Specialist

eStaffLLC

Austin, TX • On-site

$54 - $71.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a Senior Software Developer for a hybrid position (2 days/wk in South Austin office) with deep expertise in AI/ML development to join our Austin client's team. In this role, you will design, build, and deploy production-grade machine learning systems that serve real users on a scale. You will work across cloud platforms, contribute to MLOps infrastructure, and collaborate with cross-functional teams to deliver impactful AI-driven solutions.

CORE REQUIREMENTS AI/ML SPECIALIZATIONS Natural Language Processing & LLMs Experience with transformer architectures (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications. Time Series & Anomaly Detection Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems. Recommender Systems * Collaborative filtering, ranking models, personalization engines, or content recommendation pipelines.

Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or equivalent platforms. * Distributed Training: Large-scale model training, multi-GPU/multi-node setups, and efficient data parallelism.

CI/CD: Azure DevOps, GitHub Actions, Jenkins, or comparable automation pipeline experience. Feature Stores: Familiarity with Feast, Tecton, or advanced feature engineering practices. * Model Optimization: Quantization, pruning, and knowledge distillation for production efficiency.

LLM Models: Experience with Ollama, Hugging Face, or other open/non-frontier model frameworks. Required Technical Skills Python: 3-5+ years of production experience; Python is your primary language. * AI/ML Production: Built and deployed 2-3+ ML models serving real users - not just experiments.

Cloud Platforms: Experience with AWS, Azure, GCP, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major providers (Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, OCI AI Services). DevOps: Hands-on experience with Ansible, CI/CD pipelines, Docker, and Kubernetes.

Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL/vector databases. Scripting: Proficient in both Bash and PowerShell for automation workflows. Preferred Qualifications * Experience with Geospatial Information Systems (GIS) and analyzing spatial data.

Prior experience in transportation, logistics, or smart city sectors. Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data. * Familiarity with public sector data compliance, security, and governance standards.

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