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

... task execution, and workflow routing. • Develop AI copilots and internal assistants for ... review, conditions management, broker communication, borrower engagement, QC and compliance reviews ...

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

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

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 ...

Sr AI/Agentic Engineer

Tustin, CA · On-site

$115K - $158K/yr

... tasks using various techniques. • Design and build RAG systems end to end. • Lead the ... reviews and code reviews. • Lead proof-of-concept work to validate new AI use cases.

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

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

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 ...

... 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 ...

... 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 ...

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 ...

AI Engineer Lead

Irvine, CA · On-site

$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 ...

Director Data AI & Analytics

Irvine, CA · On-site

$154.57 - $216.10/hr

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

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Ai Task Reviewer information

See Riverside, CA salary details

$11

$31

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How much do ai task reviewer jobs pay per hour?

As of Aug 7, 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.

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 tools and platforms, and some roles may require a background in linguistics, computer science, or related fields. Gaining experience through online courses or certifications can also improve prospects in this role.

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.

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.

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:
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.

Full-time

Re-posted 26 days ago


Job description

Job Summary:
Acra Lending is a company that specializes in alternative income loan products, and they are seeking an experienced AI Engineer focused on Agentic AI and Workflow Automation. This role will be responsible for architecting, building, and deploying intelligent systems to enhance operational efficiency and improve the borrower and broker experience.
Responsibilities:
• 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.
• 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.
• 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.
• 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.
• Ensure AI implementations align with mortgage regulatory requirements and governance standards.
• Design controls around explainability, auditability, model monitoring, and human-in-the-loop approvals.
• 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.
Qualifications:
Required:
• 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:
• 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.
• 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
Company:
Acra Lending specializes in lending services and adjustable-rate mortgages as well as alternative income products. Founded in 2003, the company is headquartered in Lake Forest, USA, with a team of 201-500 employees. The company is currently Growth Stage.