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Javascript Developer For Training Ai Data Jobs in Ladera Ranch, CA

AI Engineer

Irvine, CA ยท On-site

This role will be responsible for designing and implementing AI agents, autonomous workflows, and ... Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD

This role will be responsible for designing and implementing AI agents, autonomous workflows, and ... Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD

AI Engineer

Irvine, CA ยท On-site

$140K - $160K/yr

We are looking for candidates to join our team who are passionate about their vocation. Who are ... Python, SQL, JavaScript/TypeScript * AI/LLM: OpenAI, Anthropic, open-source LLMs, Hugging Face

... for each use case Data & Analytics Build and maintain data pipelines that feed AI applications with clean, reliable data Apply data analytics to validate model performance and surface actionable ...

Sr Staff AI Architect

Carlsbad, CA ยท On-site +1

$143K - $185K/yr

The AI & Data Architect will define and govern the technical blueprint for enterprise AI and data ... science, Engineering, Data Science, or equivalent experience. Our Mission is to enable our ...

Sr Staff AI Architect

Carlsbad, CA ยท On-site +1

$143K - $185K/yr

The AI & Data Architect will define and govern the technical blueprint for enterprise AI and data ... science, Engineering, Data Science, or equivalent experience. Our Mission is to enable our ...

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams ... You will play a pivotal role in training AI models, ensuring the accuracy and relevance of German ...

BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking. * Develop ... Field AI Onsite Work Philosophy: Field AI believes in-person collaboration is essential for ...

Data Platform Engineer, Data Pipelines

Irvine, CA ยท On-site

$122K - $147K/yr

BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking. * Develop ... Field AI Onsite Work Philosophy: Field AI believes in-person collaboration is essential for ...

Showing results 41-60

Javascript Developer For Training Ai Data information

See Ladera Ranch, CA salary details

$31.4K

$113.3K

$179.7K

How much do javascript developer for training ai data jobs pay per year?

As of Jul 25, 2026, the average yearly pay for javascript developer for training ai data in Ladera Ranch, CA is $113,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $136,100.00 per year, depending on experience, location, and employer.

What is the difference between Javascript Developer For Training Ai Data vs Javascript Developer?

AspectJavascript Developer For Training Ai DataJavascript Developer
Required SkillsJavaScript, AI/ML concepts, data annotation, training modelsJavaScript, front-end/back-end development, frameworks like React or Node.js
Work EnvironmentAI training labs, data annotation teams, machine learning projectsWeb development, application development, client/server environments
Industry UsageAI/ML companies, data training firms, research labsTech companies, startups, software agencies

Javascript Developer For Training Ai Data focuses on preparing data and training AI models using JavaScript, often involving data annotation and machine learning concepts. In contrast, a Javascript Developer primarily develops web applications and interfaces. While both roles require JavaScript skills, the former emphasizes AI training and data handling, whereas the latter centers on application development.

What are some common challenges faced by JavaScript Developers working on AI data training projects?

JavaScript Developers involved in AI data training often encounter challenges such as ensuring data quality and consistency, managing large datasets, and effectively collaborating with data scientists and machine learning engineers. The role may require a deep understanding of data preprocessing, annotation tools, and integrating APIs to streamline data workflows. Additionally, working in this space often involves staying up to date with the latest AI frameworks and adapting to rapidly evolving project requirements, which can be both demanding and rewarding.

What is a Javascript Developer for Training AI Data?

A Javascript Developer for Training AI Data is a software engineer who specializes in using Javascript to help build, annotate, or process datasets that are used to train artificial intelligence models. Their work may involve developing data labeling tools, writing scripts to clean and preprocess data, or building user interfaces that facilitate the collection of high-quality training data. They play a crucial role in ensuring that AI systems receive the accurate and well-structured information they need to learn effectively. This position often requires a strong knowledge of Javascript, data handling, and sometimes an understanding of machine learning concepts.

What are the key skills and qualifications needed to thrive as a Javascript Developer for Training AI Data, and why are they important?

To thrive as a Javascript Developer for Training AI Data, you need strong proficiency in JavaScript, data manipulation, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Familiarity with frameworks like Node.js, data annotation tools, and version control systems such as Git is typically required. Analytical thinking, attention to detail, and effective teamwork are essential soft skills for excelling in this role. These skills ensure accurate data preparation and robust integration of AI models, leading to effective training outcomes and project success.
What are popular job titles related to Javascript Developer For Training Ai Data jobs in Ladera Ranch, CA? For Javascript Developer For Training Ai Data jobs in Ladera Ranch, CA, the most frequently searched job titles are:
What cities near Ladera Ranch, CA are hiring for Javascript Developer For Training Ai Data jobs? Cities near Ladera Ranch, CA with the most Javascript Developer For Training Ai Data job openings:

AI Engineer

acralending

Irvine, CA โ€ข On-site

Other

Posted 14 days ago


Job description

Summary ย ย 

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.

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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.

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Required Qualifications

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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.

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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