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From Home Image Segmentation Jobs in Texas (NOW HIRING)

Senior IT Solutions Engineer

Austin, TX · On-site

$122K - $168K/yr

... at home, or wherever you may go. Learn more about our benefits. Senior IT Solutions Engineer ... Execute complex configuration and image changes following approved SOPs and change management ...

... at home, or wherever you may go. Learn more about our benefits. Senior IT Solutions Engineer ... Execute complex configuration and image changes following approved SOPs and change management ...

Manages the Information Technology (IT) needs of assigned Business Segment(s) through staff and/or ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

Manages the Information Technology (IT) needs of assigned Business Segment(s) through staff and/or ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

Manages the Information Technology (IT) needs of assigned Business Segment(s) through staff and/or ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

Manages the Information Technology (IT) needs of assigned Business Segment(s) through staff and/or ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

The Commercial PM Market Manager manages all portfolio activities for an assigned region, segment ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

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From Home Image Segmentation information

What is the difference between From Home Image Segmentation vs From Home Data Annotation?

AspectFrom Home Image SegmentationFrom Home Data Annotation
Primary FocusSegmenting images into meaningful partsLabeling data points or objects in images
Required SkillsComputer vision, image processing, annotation toolsData labeling, attention to detail, annotation software
Work EnvironmentRemote, flexible, tech-focusedRemote, flexible, data-driven
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data training

From Home Image Segmentation involves dividing images into segments for AI training, requiring technical skills in image processing. From Home Data Annotation focuses on labeling data for machine learning, emphasizing accuracy in data labeling. Both roles are remote, industry-specific, and essential for AI development, but they differ in technical complexity and focus areas.

What are the most commonly searched types of Image Segmentation jobs in Texas? The most popular types of Image Segmentation jobs in Texas are:
What are popular job titles related to From Home Image Segmentation jobs in Texas? For From Home Image Segmentation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching From Home Image Segmentation jobs in Texas look for? The top searched job categories for From Home Image Segmentation jobs in Texas are:
What cities in Texas are hiring for From Home Image Segmentation jobs? Cities in Texas with the most From Home Image Segmentation job openings:
Infographic showing various From Home Image Segmentation job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

Cloud Engineer with public sector experience

Software People, Inc.

Austin, TX • On-site

$55.25 - $73.75/hr

Contractor

Re-posted 5 days ago


Job description

Phone/Skype Hire.  Onsite from Day 1 / Hybrid.

Location: Austin, Texas  

Duration: 6+ months

Need 3-page resumes. Must have current LinkedIn profile. Please complete the enclosed documentation in its entirety and always get RTR physically signed.

Responsibilities

A Software Developer Specialist will focus on engineering-related software services, including model ingestion, automated quantity extraction, plan conformance checks, and CI/CD automation. Leveraging PEPS ensures compliance with procurement regulations while enabling rapid onboarding of specialized talent.

The Senior Software Developer Specialist will be responsible for advancing AI initiatives by extending existing proof-of-concept (POC) solutions into scalable, production-ready web applications that directly support transportation engineering workflows. This role will focus on transforming early-stage AI models and prototypes—such as those supporting plan review automation, roadway asset detection, and digital delivery—into fully integrated applications accessible through secure, user-friendly web interfaces across the enterprise.

Skills Needed

Years

Required/Preferred

Experience

8

Required

Cloud Platforms: Experience with AWS, Azure, GCP, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, OCI AI Services).

8

Required

DevOps: Ansible, CI/CD, Docker and Kubernetes experience.

8

Required

Databases: SQL (PostgreSQL, MySQL) and NoSQL/vector databases.

8

Required

Scripting: Proficient in both Bash and PowerShell for automation.

8

Required

CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines.

3

Required

Python: 3-5+ years production experience, this is your primary language.

3

Required

NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications.

3

Required

Time Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems.

3

Required

Recommender Systems: Collaborative filtering, ranking models, personalization engines, or content recommendations.

3

Required

MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms.

3

Required

Distributed Training: Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism.

3

Required

Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference.

3

Required

Feature stores (Feast, Tecton) or advanced feature engineering.

3

Required

Model optimization: quantization, pruning, knowledge distillation.

3

Required

LLM Models: Ollama, Huggingface, or other non-frontier models

2

Required

AI/ML Production: Built and deployed 2-3+ ML models serving real users, not just experiments.

1

Preferred

Experience with Geospatial Information Systems (GIS) and analyzing spatial data.

1

Preferred

Prior experience in the transportation, logistics, or smart city sectors.

1

Preferred

Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data.

1

Preferred

Familiarity with public sector data compliance, security, and governance standards.

1

Preferred

Experience with the Unreal gaming engine and real world digital twinning

1

Preferred

Experience with Google Maps Cesium API

1

Preferred

Experience with Polygonflow Dash and its capabilities