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Ai Task Jobs in Texas (NOW HIRING)

Procore

AI Application Architect

Austin, TX · On-site

Familiarity with workflow orchestration engines (Temporal, Prefect) for long-running AI tasks * Exposure to LLM evaluation frameworks (automated judging, red-teaming, regression suites) * Background ...

Procore

AI Application Architect

Austin, TX · On-site

Familiarity with workflow orchestration engines (Temporal, Prefect) for long-running AI tasks * Exposure to LLM evaluation frameworks (automated judging, red-teaming, regression suites) * Background ...

YO AI Labs

AI Trainer - Remote

Austin, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Procore

AI Application Architect

Austin, TX · On-site

Familiarity with workflow orchestration engines (Temporal, Prefect) for long-running AI tasks * Exposure to LLM evaluation frameworks (automated judging, red-teaming, regression suites) * Background ...

YO AI Labs

AI Engineer - Remote

Houston, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Procore

AI Application Architect

Austin, TX · On-site

Familiarity with workflow orchestration engines (Temporal, Prefect) for long-running AI tasks * Exposure to LLM evaluation frameworks (automated judging, red-teaming, regression suites) * Background ...

YO AI Labs

AI Engineer - Remote

Dallas, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Trainer - Remote

Dallas, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Trainer - Remote

Houston, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

HP

Software Engineer, AI Systems

Spring, TX · On-site

$93K - $140K/yr

We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful-always with a human-centric mindset. By embedding AI advancements into every ...

YO AI Labs

AI Technical Trainer - Remote

Dallas, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Technical Trainer - Remote

Austin, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Software Engineer - Remote

Houston, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Technical Trainer - Remote

Houston, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Software Engineer - Remote

Dallas, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Software Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI/ML Software Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

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All JobsAi Task JobsAi Task Jobs in Texas

Ai Task information

What is an AI task?

AI tasks are specific activities or problems that artificial intelligence systems are designed to perform or solve. These can range from natural language processing, image recognition, and data analysis to autonomous decision-making and recommendation systems. AI tasks are typically defined based on the goals of an AI project and can be performed by machine learning models, algorithms, or other intelligent software. Understanding the nature of a particular AI task is crucial for choosing the right tools and methods to solve it effectively.

What are some common challenges faced by AI task specialists when working on multi-disciplinary teams?

AI Task specialists often collaborate with data scientists, software engineers, product managers, and domain experts. A common challenge is translating complex technical concepts into actionable insights for non-technical stakeholders while ensuring that the AI models align with business objectives. Balancing competing priorities, such as model accuracy versus deployment speed, and managing expectations around AI capabilities can also be demanding. Effective communication and adaptability are key to overcoming these challenges and achieving successful project outcomes.

What are the key skills and qualifications needed to thrive as an AI (Artificial Intelligence) engineer, and why are they important?

To thrive as an AI Engineer, you need a solid background in computer science, mathematics, and programming, typically supported by a relevant degree. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and familiarity with cloud platforms is essential, and certifications in data science or AI can be advantageous. Strong problem-solving abilities, creativity, and effective communication skills help AI Engineers design innovative solutions and explain complex concepts to diverse stakeholders. These skills ensure successful development, deployment, and integration of AI technologies in real-world applications.

What is the difference between Ai Task vs Data Annotator?

AspectAi TaskData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal education, training in annotation tools often provided
Work EnvironmentRemote or on-site, often part of AI development teamsPrimarily remote, working with datasets and annotation platforms
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and data science
Search & Comparison IntentUnderstanding roles in AI projects, job requirementsClarifying data labeling tasks and skills needed

Ai Tasks involve a range of activities related to training AI models, including data labeling, model testing, and algorithm development. Data Annotators specifically focus on labeling and annotating datasets to train machine learning models. While both roles support AI development, Ai Tasks encompass broader responsibilities, whereas Data Annotators primarily handle data preparation.

What cities in Texas are hiring for Ai Task jobs?

Cities in Texas with the most Ai Task job openings:

Ai Task jobs near you
Infographic showing various Ai Task job openings in Texas as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Application Architect

Austin, TX • On-site

Procore Technologies, Inc.
Software Development • 1 - 5K employees
Learn more about Procore Technologies, Inc.external

Full-time

Posted 28 days ago

Job description

We are looking for an experienced AI Application Architect to lead the technical design and evolution of our AI-powered product suite. You will be the technical authority on how we build, scale, and secure AI-native applications - spanning agent orchestration, LLM infrastructure, data pipelines, and developer tooling. You'll work closely with engineering leads, product managers, and ML practitioners to translate ambitious AI capabilities into robust, production-grade systems.
What You'll Do:
  • Define architecture for AI-native applications including agentic systems, RAG pipelines, multi-model inference layers, and human-in-the-loop workflows
  • Drive infrastructure decisions for scalable AI workloads: vector databases (Turbopuffer, pgvector, Milvus), workflow orchestration (Temporal, Airflow), and async compute patterns
  • Design and govern the integration layer between LLMs (OpenAI, Anthropic, Gemini, open-source) and backend services, including prompt management, context window optimization, and cost governance
  • Lead LLMOps and observability strategy - tracing (OpenTelemetry), evaluation pipelines, prompt versioning, drift detection, and integration with platforms like Langfuse or Arize
  • Establish security and compliance posture for AI systems - SSRF/injection hardening, LLM guardrails, data residency, and supply chain security for model artifacts and dependencies
  • Partner with product and research to evaluate emerging AI capabilities and determine when/how to adopt them (e.g., reasoning models, multimodal, fine-tuning, RLHF)
  • Champion engineering standards - API design, schema governance, testing strategies, and architecture decision records (ADRs)
  • Mentor senior engineers and establish guild-level technical communities around AI platform topics

What We're Looking For:
  • 10+ years of software engineering with 5+ years in a principal/staff or architect-level role
  • Hands-on experience designing and shipping production LLM-powered applications (not just prototypes)
  • Experience shipping complex, user-facing application platforms - particularly in SaaS, productivity tools, or enterprise software.
  • Demonstrated ability to lead full-stack teams building rich web application experiences (React, TypeScript/Node.js, modern frontend architectures) with strong backend (Python) and API design sensibility
  • Deep understanding of enterprise requirements: User Management, RBAC/ABAC permission models, audit logging, compliance frameworks, multi-tenant governance, and admin tooling.
  • Experience building contextual or adaptive UX - applications that respond to user state, workflow context, or personalization signals.
  • Strong grasp of cloud-native architecture (Kubernetes, Helm, container security, CI/CD) on AWS, GCP, or Azure
  • Solid understanding of API security: OAuth2, CSRF, rate limiting, secrets management, and zero-trust principles applied to AI endpoints

Preferred Experience:
  • Experience with MCP (Model Context Protocol) or comparable tool-calling/plugin infrastructure
  • Familiarity with workflow orchestration engines (Temporal, Prefect) for long-running AI tasks
  • Exposure to LLM evaluation frameworks (automated judging, red-teaming, regression suites)
  • Background in developer-facing products or internal AI platforms / AI coding tooling
  • Understanding of supply chain security for ML models (artifact signing, registry enforcement, SBOM)
  • Contributions to open-source AI tooling or published architectural writing

Additional Information
Base Pay Range:
233,360.00 - 320,870.00 USD Annual
This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location.
For Los Angeles County (unincorporated) Candidates:
Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

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