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Remote Image Analysis Jobs in Texas (NOW HIRING)

Lorven Technologies

Systems Analyst 3

Austin, TX · On-site +1

LBJ State Office Building, 111 E. 17th Street, Austin, Texas 78711 Remote work SCOPE OF SERVICES ... 2, Image 53. The system includes Human Resources, Payroll, Position Management, Commitment ...

Manulife

$97K - $114K/yr

This is a remote role open to any location in continental US Manulife is a leading international ... The incumbent will analyze decisions without compromising overall underwriting policies and should ...

Danaher

Global Events Manager

Austin, TX · On-site +1

$115/hr

... image, increase customer engagement, and demonstrate our position as a thought leader within ... Knowledge in analytics and ROI reporting capabilities Travel, Motor Vehicle Record & Physical ...

Danaher

Global Events Manager

Houston, TX · On-site +1

$115/hr

... image, increase customer engagement, and demonstrate our position as a thought leader within ... Knowledge in analytics and ROI reporting capabilities Travel, Motor Vehicle Record & Physical ...

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All JobsImage Analysis JobsRemote Image Analysis JobsRemote Image Analysis Jobs in Texas

Remote Image Analysis information

What are the key skills and qualifications needed to thrive as a remote image analyst, and why are they important?

To thrive as a Remote Image Analyst, you need a solid background in image processing, pattern recognition, and a relevant degree in fields like computer science or engineering. Familiarity with software such as MATLAB, Python (with libraries like OpenCV), and GIS platforms is typically required, along with certifications in data analysis or remote sensing. Attention to detail, analytical thinking, and effective communication are essential soft skills for interpreting images and sharing findings with stakeholders. These skills ensure accurate data interpretation, support decision-making, and enable seamless collaboration in remote work environments.

What is remote image analysis?

Remote image analysis is the process of examining and interpreting images from a distance, often using specialized software and cloud-based platforms. Professionals in this field analyze images from sources such as satellites, drones, medical imaging devices, or security cameras to extract useful information without being physically present. This approach allows for efficient data processing, real-time collaboration, and accessibility from anywhere with an internet connection. Remote image analysis is commonly used in industries like healthcare, agriculture, environmental monitoring, and security.

What are some common challenges faced in a remote image analysis role, and how can they be addressed?

One common challenge in remote image analysis is maintaining effective communication with team members and project stakeholders, as collaboration often relies on digital platforms. Additionally, handling large datasets and ensuring secure data transfer can be technically demanding in a remote setup. To address these issues, professionals should become proficient with collaborative tools (such as Slack, Zoom, or project management software) and follow best practices for data security and version control. Regular check-ins and clear documentation also help ensure smooth workflow and minimize misunderstandings.

What is the difference between Remote Image Analysis vs Remote Data Annotation?

AspectRemote Image AnalysisRemote Data Annotation
Primary FocusInterpreting and analyzing images to extract meaningful informationLabeling and tagging data to prepare datasets for machine learning
Required SkillsImage recognition, pattern analysis, attention to detailData labeling, understanding of annotation tools, accuracy
Work EnvironmentRemote, often flexible hours, tech-focusedRemote, collaborative platforms, tech and communication skills
Industry UsageHealthcare, security, autonomous vehiclesAI, machine learning, computer vision projects

Remote Image Analysis involves interpreting images to extract insights, often requiring specialized visual skills. Remote Data Annotation focuses on labeling data to train AI models, emphasizing accuracy and consistency. Both roles are remote, industry-specific, and essential for AI development, but they differ in their core tasks and skill sets.

What are the most commonly searched types of Image Analysis jobs in Texas? The most popular types of Image Analysis jobs in Texas are:
What are popular job titles related to Remote Image Analysis jobs in Texas? For Remote Image Analysis jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Image Analysis jobs in Texas look for? The top searched job categories for Remote Image Analysis jobs in Texas are:
What cities in Texas are hiring for Remote Image Analysis jobs? Cities in Texas with the most Remote Image Analysis job openings:
Remote Image Analysis jobs near you
Infographic showing various Remote Image Analysis job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Huntsville, TX • Remote

Full-time

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

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply