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Ai Task Reviewer Jobs in Riverside, CA (NOW HIRING)

acralending

AI Engineer

Irvine, CA

Build intelligent orchestration frameworks capable of autonomous decision support, task execution ... and compliance reviews, and post-close processes. LLM & AI Engineering * Implement Retrieval ...

acralending

AI Engineer

Irvine, CA · On-site

Build intelligent orchestration frameworks capable of autonomous decision support, task execution ... and compliance reviews, and post-close processes. LLM & AI Engineering * Implement Retrieval ...

Acra Lending

AI Engineer

Irvine, CA · On-site

$140K - $160K/yr

Build intelligent orchestration frameworks capable of autonomous decision support, task execution ... and compliance reviews, and post-close processes. LLM & AI Engineering * Implement Retrieval ...

Anduril Industries

AI Systems Engineer

Santa Ana, CA

Optimize context management, token usage, caching, and workflow design for cost, latency, and task ... review is required. * Must be eligible for Secret and higher security clearance (US). * In this ...

New

Hyundai Capital

AI Product Manager

Irvine, CA · Hybrid

Ensure product quality through measurable KPIs such as task success, grounded response rates, and ... Participate in governance reviews and release gates. WHAT YOU WILL BRING TO THE ROLE * Minimum 5-7 ...

Hyundai Capital America

AI Product Manager

Irvine, CA · On-site

Ensure product quality through measurable KPIs such as task success, grounded response rates, and ... Participate in governance reviews and release gates. Qualifications WHAT YOU WILL BRING TO THE ROLE

Hyundai Capital

AI Product Manager

Irvine, CA · On-site

$100K - $155K/yr

Ensure product quality through measurable KPIs such as task success, grounded response rates, and ... Participate in governance reviews and release gates. Qualifications WHAT YOU WILL BRING TO THE ROLE

Anduril Industries

AI Systems Engineer

Santa Ana, CA · On-site

$191K - $253K/yr

Optimize context management, token usage, caching, and workflow design for cost, latency, and task ... review is required. * Must be eligible for Secret and higher security clearance (US). * In this ...

New

Capital Group

AI Engineer Lead

Irvine, CA · On-site

$109K - $144K/yr

Your performance will be reviewed annually, and your compensation will be designed to motivate and ... Build agents and agentic workflows that plan and execute multi-step tasks within explicit ...

Fujifilm

Director Data AI & Analytics

Irvine, CA · Hybrid

... task automation) with MLOps (experiment tracking, model registry, CI/CD, monitoring, retraining). Separate GxP vs nonGxP AI; ensure intended use, explainability, validation/CSA, and periodic review ...

Capgroup

AI Engineer Lead

Irvine, CA

$110K - $144K/yr

Your performance will be reviewed annually, and your compensation will be designed to motivate and ... Build agents and agentic workflows that plan and execute multi-step tasks within explicit ...

Fujifilm

Director Data AI & Analytics

Irvine, CA · Hybrid

... task automation) with MLOps (experiment tracking, model registry, CI/CD, monitoring, retraining). Separate GxP vs nonGxP AI; ensure intended use, explainability, validation/CSA, and periodic review ...

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All JobsAi Task Reviewer JobsAi Task Reviewer Jobs in Riverside, CA

Ai Task Reviewer information

See Riverside, CA salary details

$11

$31

$50

How much do ai task reviewer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for ai task reviewer in Riverside, CA is $31.18, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $38.12 per hour, depending on experience, location, and employer.

What is the difference between Ai Task Reviewer vs Data Annotator?

AspectAi Task ReviewerData Annotator
Required CredentialsBasic computer skills, training in review guidelinesBasic computer skills, training in annotation tools
Work EnvironmentRemote or office-based, reviewing AI outputsRemote or office-based, labeling and annotating data
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentUnderstanding review roles in AI projectsUnderstanding data labeling roles in AI

The main difference between an Ai Task Reviewer and a Data Annotator lies in their roles within AI development. Ai Task Reviewers focus on evaluating and validating AI outputs, ensuring quality and accuracy, while Data Annotators are responsible for labeling and preparing data used to train AI models. Both roles are essential in the AI industry, often requiring similar skills but serving different functions in the data pipeline.

Are remote AI task reviewer jobs legit?

Remote AI task reviewer jobs are legitimate positions where individuals evaluate and annotate data to improve AI systems. These roles often require attention to detail, basic computer skills, and sometimes specific training or guidelines, and they are commonly offered by reputable companies in the tech industry.

How to become an AI Task Reviewer?

To become an AI Task Reviewer, candidates typically need strong attention to detail, good understanding of AI and machine learning concepts, and experience with data annotation or content moderation. Relevant skills include familiarity with review platforms, basic knowledge of data labeling tools, and the ability to follow guidelines accurately. Some positions may require a high school diploma or equivalent, with advanced roles favoring prior experience in AI-related tasks.

What are popular job titles related to Ai Task Reviewer jobs in Riverside, CA?

For Ai Task Reviewer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Ai Task Reviewer jobs in Riverside, CA look for?

The top searched job categories for Ai Task Reviewer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Ai Task Reviewer jobs?

Cities near Riverside, CA with the most Ai Task Reviewer job openings:

Ai Task Reviewer jobs near you
Infographic showing various Ai Task Reviewer job openings in Riverside, CA as of August 2026, with employment types broken down into 57% Full Time, 24% Part Time, and 19% Contract. Highlights an 57% In-person, 6% Hybrid, and 37% Remote job distribution, with an average salary of $64,849 per year, or $31.2 per hour.

AI Engineer

Irvine, CA

acralending
See more jobs at acralendingexternal

Full-time

Re-posted 21 days ago

Job description

Summary   

We are seeking an experienced AI Engineer focused on Agentic AI and Workflow Automation to architect, build, and deploy intelligent systems that could transform our business.

This role will be responsible for designing and implementing AI agents, autonomous workflows, and enterprise automation systems that drive operational efficiency, reduce cycle times, improve borrower and broker experience, enhance compliance, and increase EBITDA through scalable automation.

The ideal candidate combines expertise in LLMs, agentic architectures, orchestration frameworks, and workflow automation with a practical understanding of enterprise systems integration and regulated financial services environments.

 

Essential Duties and Responsibilities

Agentic AI Architecture & Development

  • Design, develop, and deploy AI agents and multi-agent systems to automate mortgage workflows across the loan lifecycle.
  • Build intelligent orchestration frameworks capable of autonomous decision support, task execution, and workflow routing.
  • Develop AI copilots and internal assistants for underwriting, loan processing, sales, operations, secondary markets, compliance, capital markets, and executive leadership.
  • Create AI-powered exception handling and escalation frameworks for complex loan scenarios.

Workflow Automation

  • Identify, redesign, and automate high-friction operational workflows across the mortgage platform.
  • Develop automation solutions for loan intake, document classification, income and asset analysis, credit review, conditions management, broker communication, borrower engagement, QC and compliance reviews, and post-close processes.

LLM & AI Engineering

  • Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs.
  • Build prompt orchestration, memory systems, and agent reasoning frameworks.
  • Evaluate and deploy emerging AI technologies for document intelligence, NLP, computer vision, and decision support.

Systems Integration

  • Integrate AI systems with LOS platforms, CRM systems, pricing engines, OCR/document recognition tools and data platforms.
  • Develop APIs and middleware to enable seamless AI workflow orchestration.

Governance, Risk & Compliance

  • Ensure AI implementations align with mortgage regulatory requirements and governance standards.
  • Design controls around explainability, auditability, model monitoring, and human-in-the-loop approvals.

Strategy & Innovation

  • Help define and execute the enterprise AI strategy.
  • Prioritize high-ROI automation opportunities that improve revenue, pull-through, turn times, cost-to-originate, scalability, and EBITDA.

 

Required Qualifications

 

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • 5+ years of software engineering, AI engineering, or machine learning experience.
  • 2+ years building LLM-based applications or agentic AI systems.
  • Experience with orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or MCP-based architectures.
  • Strong Python development skills and experience with APIs, vector databases, prompt engineering, RAG architectures, and workflow automation.

 

Preferred Qualifications

  • Experience in mortgage lending, fintech, banking, or financial services.
  • Familiarity with Non-QM underwriting guidelines including DSCR, Bank Statement, Asset Qualifier, ITIN, Foreign National, and Jumbo products.
  • Experience with mortgage LOS platforms and deploying AI in regulated environments.

Technical Stack (Preferred)

  • Languages: Python, SQL, JavaScript/TypeScript
  • AI/LLM: OpenAI, Anthropic, open-source LLMs, Hugging Face
  • Automation: n8n, UiPath, Zapier, Make, Apache Airflow
  • Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD

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