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Ai Rater Jobs in Georgetown, TX (NOW HIRING)

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 ...

New

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 ...

New

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 ...

New

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 ...

New

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

This role will support a growing portfolio of AI initiatives across the organization, focusing on ... Actual compensation for part-time roles will be pro-rated based on the agreed number of working ...

Track and report on workflow automation metrics - time saved, error rates, throughput, and business impact - delivering regular dashboards and summaries to marketing leadership. * Stay current on AI ...

Track and report on workflow automation metrics - time saved, error rates, throughput, and business impact - delivering regular dashboards and summaries to marketing leadership. * Stay current on AI ...

AI IAM Architect

Austin, TX · Remote

$153K - $255K/yr

The AI IAM Architect partners across AI/platform engineering, IAM, security, and enterprise ... Establish patterns for human-in-the-loop controls, break-glass access, and rate limiting.

Track and report on workflow automation metrics -- time saved, error rates, throughput, and ... Stay current on AI tooling: Continuously evaluate new AI models, agent frameworks, and automation ...

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate ...

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate ...

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate ...

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate ...

Showing results 21-40

Ai Rater information

What is an AI Rater?

An AI Rater evaluates and provides feedback on artificial intelligence models, typically improving search engines, chatbots, or recommendation systems. They assess the relevance, accuracy, and quality of AI-generated content based on specific guidelines. This role requires strong analytical skills, attention to detail, and familiarity with the subject matter being reviewed. AI Raters often work remotely and on a flexible schedule.

What skills and qualifications are needed to thrive as an AI Rater?

To thrive as an AI Rater, you generally need strong attention to detail, analytical thinking, and proficiency in English, often supported by formal education such as a high school diploma or higher. Familiarity with web browsers, online research, and company-specific rating platforms or guidelines is essential. Excellent time management, adaptability, and effective written communication help individuals excel in this position. These skills and qualities ensure accurate and consistent evaluations of AI-generated content, directly impacting the improvement of artificial intelligence systems.

What does an AI Rater do?

A typical day for an AI Rater involves reviewing and evaluating various types of content, such as search engine results, social media posts, advertisements, or chatbot responses, to ensure they meet quality and relevancy standards. You may follow detailed guidelines to rate or annotate content, complete assigned tasks in a web-based platform, and provide feedback to help improve AI performance. Most positions are remote and offer flexible schedules, allowing you to plan your workload around personal commitments. Collaboration is generally limited, as most work is performed independently, but periodic communication with team leads for training or updates is common.

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The top searched job categories for Ai Rater jobs in Georgetown, TX are:

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Cities near Georgetown, TX with the most Ai Rater job openings:

AI Application Architect

Procore

Austin, TX • On-site

Full-time

Posted 3 days ago

New


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.