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Home Based Ai Operations Jobs in Texas (NOW HIRING)

Senior Azure AI Foundry Engineer

Houston, TX · On-site

$52.75 - $68/hr

The engineer will design Python-based AI workflows, optimize Azure AI Foundry deployments, and ... Improve overall AI operational efficiency and reliability Required Skills: * Strong Python ...

... AI operations. Core Responsibilities * Architectural Design: Define the end-to-end blueprints ... Ensure relevance, freshness, observability, and security of RAG-based AI systems. * Agentic AI ...

... AI operations. Core Responsibilities * Architectural Design: Define the end-to-end blueprints ... Ensure relevance, freshness, observability, and security of RAG-based AI systems. * Agentic AI ...

... AI operations. Core Responsibilities * Architectural Design: Define the end-to-end blueprints ... Ensure relevance, freshness, observability, and security of RAG-based AI systems. * Agentic AI ...

... Home Teleworkers Additional Locations Job Information CSAA Insurance Group (CSAA IG), a AAA insurer ... Experience supporting production cloud-based applications and services in AWS environments.

Generative AI Engineer

Fort Worth, TX · On-site

$120K - $165K/yr

Design and build LLM-powered applications, including agent-based workflows, multi-step RAG ... Experience with CI/CD pipelines, release management, and operational ownership * Demonstrated ...

Growth Operations Analyst

Austin, TX · Remote

$97K - $115K/yr

... AI, operations, market research, and growth-focused workstreams. THE ROLE As a Growth Operations ... Many roles are flexible, remote, and project-based.

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Home Based Ai Operations information

What is the difference between Home Based Ai Operations vs Data Labeling Specialist?

AspectHome Based Ai OperationsData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in AI toolsExperience with data annotation tools, attention to detail
Work EnvironmentRemote, home-basedRemote or on-site, often home-based
Industry UsageAI development, machine learning projectsData preparation for AI models
Search & Comparison IntentUnderstanding roles in AI operationsFocus on data annotation tasks

Home Based Ai Operations involve managing and supporting AI workflows remotely, often requiring technical skills and understanding of AI systems. Data Labeling Specialists focus on annotating data to train AI models, sharing similar remote work environments. While both roles support AI development, Home Based Ai Operations encompass broader responsibilities beyond data labeling, including system monitoring and troubleshooting.

What jobs can I do from home with AI?

Home-based AI operations roles include tasks such as data annotation, model training, AI customer support, and content moderation. These jobs often require skills in machine learning tools, programming, or data management and can be performed remotely with flexible schedules.

What are the most commonly searched types of Ai Operations jobs in Texas?

The most popular types of Ai Operations jobs in Texas are:

What are popular job titles related to Home Based Ai Operations jobs in Texas?

For Home Based Ai Operations jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Home Based Ai Operations jobs in Texas look for?

The top searched job categories for Home Based Ai Operations jobs in Texas are:

What cities in Texas are hiring for Home Based Ai Operations jobs?

Cities in Texas with the most Home Based Ai Operations job openings:

Ai Operations Solutions Specialist

Efinity Mortgage

Austin, TX

$125/hr

Full-time

Re-posted 26 days ago


Job description

Role: AI Operations Solutions Specialist (AI Forward Deployed Engineer)

Employment: Contract, 90-day

Location: Preferred Hybrid in Austin, TX


The Opportunity:

Efinity Mortgage is a growing mortgage lending operation preparing to scale production without scaling headcount at the same rate. We are launching a Digital Workforce Initiative: a focused, 90-day effort to stand up a secure enterprise AI strategy and to build and deploy high-impact automation across our departments: underwriting, processing, compliance, finance, recruiting, marketing, and executive management.


We are looking for a hands-on Contract AI Solutions Architect to lead this initiative end to end — from assessment and architecture through to building production-ready tools and enabling our staff to use them. We want a builder who can pair strategic thinking with working software inside a regulated mortgage environment. 


The Mission:

The goal is not simply to deploy AI tools. The goal is to create a digital workforce that augments our people across underwriting, processing, compliance, finance, recruiting, marketing, and executive management — increasing capacity and quality while reducing manual effort and vendor dependence. Over the long term, this initiative lays the foundation for an internal “Efinity AI” platform: a durable, owned capability rather than a collection of disconnected point solutions. Your work in these 90 days establishes the architecture, governance, and first wave of tools that the platform will grow from. 

Compensation:

$120 - $125 hourly


Responsibilities:

Scope of Work:


1. Assess 

  • Conduct an AI opportunity assessment across departments, prioritizing by impact, feasibility, and risk. 
  • Map current workflows, systems, and data sources, including key vendor platforms in use today. 
  • Identify the highest-leverage automation candidates and sequence them into a build plan. 


2. Architect 

  • Define an enterprise AI roadmap that connects near-term wins to the long-term Efinity AI platform vision. 
  • Establish a security and governance framework appropriate for a regulated mortgage operation (data handling, access control, model usage policies, auditability, and vendor risk). 
  • Select the model, tooling, and integration approach, balancing capability, cost, and control. 

3. Build 

  • Develop 10–15 production-ready AI tools targeting the prioritized opportunities. 
  • Integrate tools into existing systems and workflows so they fit how staff actually work. 
  • Build for maintainability and handoff — documented, supportable, and owned internally after the engagement. 

4. Enable 

  • Create a staff training and adoption plan, and lead hands-on enablement for the teams using each tool. 
  • Define how success is measured and instrument the tools so impact can be tracked over time. 
  • Hand off documentation, architecture decisions, and a forward roadmap to internal owners. 


Key Deliverables 

  • An enterprise AI roadmap aligned to the long-term Efinity AI platform vision. 
  • A security and governance framework suitable for a regulated mortgage operation. 
  • A prioritized AI opportunity assessment across departments. 
  • 10–15 production-ready AI tools, integrated and documented. 
  • A staff training and adoption plan, with hands-on enablement delivered. 
  • A clean internal handoff: documentation, architecture decisions, and a forward roadmap. 

Qualifications:

Who We're Looking For:

  • Proven experience designing and shipping AI/LLM-powered tools in production — not just prototypes or proofs of concept. 
  • Strong software engineering fundamentals: ability to build, integrate, and deploy working applications independently. 
  • Hands-on experience with modern AI platforms and APIs, retrieval/RAG patterns, prompt and workflow design, and AI tool orchestration. 
  • Experience integrating with existing business systems (CRMs, document platforms, internal databases, reporting tools).
  • A working understanding of AI governance, data security, and privacy — and the judgment to apply it in a regulated environment. 
  • The ability to translate between executive strategy and technical execution, and to drive an initiative with minimal oversight.
  • Availability for a hybrid arrangement based in Austin, TX, including regular on-site presence. 

About Company

Candidates should be prepared to sign a confidentiality/non-disclosure agreement and to work within Efinity Mortgage’s data security policies.