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Remote Ai Prompt Engineer Trainee Jobs in Encinitas, CA

... software engineering and AI systems. This individual can independently assess whether an AI ... Evaluate AI orchestration workflows including prompt execution, agent routing, tool calling ...

Senior AI Security Engineer

San Diego, CA ยท On-site +1

$121K - $166K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and ... prompt injection attack surfaces, and tool call authorization models before any MCP server is ...

Senior AI Security Engineer

San Diego, CA ยท On-site +1

$121K - $166K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and ... prompt injection attack surfaces, and tool call authorization models before any MCP server is ...

Sr. Engineer, AI Developer Tools (Remote)

San Diego, CA ยท On-site +1

$137K - $171K/yr

BuiltIn's 2024 Best Place to Work WHAT WE ARE LOOKING FOR Tealium is seeking a Senior Engineer, AI ... Tealium Connects (remote-first working) , enabling many of us to choose where we do our best work ...

... ships Remote-first, technically rigorous team that takes production quality seriously WHAT YOU'LL ... Engineering, or equivalent experience Preferred: Experience testingAI-powered applications- prompt ...

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Remote Ai Prompt Engineer Trainee information

See Encinitas, CA salary details

$32.8K

$73.7K

$124.1K

How much do remote ai prompt engineer trainee jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote ai prompt engineer trainee in Encinitas, CA is $73,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $80,000.00 per year, depending on experience, location, and employer.

What is a Remote AI Prompt Engineer Trainee?

A Remote AI Prompt Engineer Trainee is an entry-level professional who works remotely to learn how to design, test, and optimize prompts for artificial intelligence models, such as large language models. Their main responsibility is to develop effective queries or instructions that guide AI models to produce accurate and relevant outputs. Trainees often work under the supervision of experienced prompt engineers and participate in hands-on training, gaining practical experience with AI tools and prompt engineering best practices. This role is ideal for individuals interested in AI, natural language processing, and technology-driven problem solving.

What are the typical challenges faced by a Remote AI Prompt Engineer Trainee when collaborating with cross-functional teams?

As a Remote AI Prompt Engineer Trainee, one common challenge is effectively communicating technical concepts and prompt design strategies with team members from non-technical backgrounds, such as product managers or UX designers. Since work is remote, navigating time zones and ensuring clear documentation can also be difficult. However, regular virtual meetings, proactive updates, and using collaborative tools help bridge these gaps, allowing trainees to contribute meaningfully to AI model development and refinement.

What is the difference between Remote Ai Prompt Engineer Trainee vs Remote Ai Prompt Engineer?

AspectRemote Ai Prompt Engineer TraineeRemote Ai Prompt Engineer
Required CredentialsBasic understanding of AI and prompts, often entry-level certifications or self-taughtAdvanced knowledge of AI, experience with prompt engineering, and relevant certifications
Work EnvironmentTraining programs, internships, or entry-level roles, often remoteFull-time remote positions, working on complex AI prompt development
Employer & Industry UsageTech companies, startups, AI service providers, focusing on learning and developmentEstablished companies, AI research labs, and product teams deploying AI solutions

The main difference between a Remote Ai Prompt Engineer Trainee and a Remote Ai Prompt Engineer is experience level and responsibility. Trainees are in learning phases, focusing on acquiring skills, while engineers are experienced professionals actively developing and optimizing AI prompts for real-world applications.

What are the key skills and qualifications needed to thrive as a Remote AI Prompt Engineer Trainee?

To thrive as a Remote AI Prompt Engineer Trainee, you need a strong foundation in language proficiency, analytical thinking, and a basic understanding of artificial intelligence concepts, often complemented by coursework or certifications in computer science or related fields. Familiarity with AI platforms, prompt engineering tools, and collaborative systems like GitHub or Slack is typically expected. Creativity, attention to detail, and effective communication are standout soft skills for this position. These skills and qualities are vital for designing precise prompts, troubleshooting outputs, and collaborating efficiently in remote, cross-functional teams.
What cities near Encinitas, CA are hiring for Remote Ai Prompt Engineer Trainee jobs? Cities near Encinitas, CA with the most Remote Ai Prompt Engineer Trainee job openings:

AI QA ANALYST - 100% REMOTE

System One

San Diego, CA โ€ข Remote

Contractor

Posted 8 days ago


Job description

Job Title: AI QA Analyst
Location: 100% Remote
Type: Long-Term Contract
Compensation: Negotiable, W-2 or C2C
Work Model: Remote – offsite
Hours: 40 hours a week 
Security Clearance: No clearance but must pass background check which will include credit check 

Ideal Candidate Profile

A highly technical analyst who understands both modern software engineering and AI systems. This individual can independently assess whether an AI solution is accurate, secure, explainable, compliant, observable, and ready for production. They serve as the organization's independent quality authority for AI-powered solutions and help establish confidence in enterprise AI deployments before release to production.


Responsibilities
• Establish and execute quality, validation, certification, and production readiness processes for AI-powered SDLC and enterprise automation solutions
• Develop and implement evaluation frameworks measuring accuracy, relevance, groundedness, completeness, hallucination rates, retrieval quality, recommendation quality, and user satisfaction
• Validate Retrieval-Augmented Generation (RAG) solutions utilizing Azure AI Search, Azure AI Foundry, LangChain, LangGraph, and enterprise repositories
• Perform architecture reviews and quality assessments for AI solutions deployed on Azure services such as Containers, Functions, Databricks, SQL, Cosmos DB
• Evaluate AI orchestration workflows including prompt execution, agent routing, tool calling, guardrails, retrieval pipelines, and human-in-the-loop processes
• Validate security, governance, auditability, and compliance controls, including integrations with Entra ID, RBAC, managed identities, Key Vault, and data policies
• Create production readiness checklists covering observability, monitoring, resiliency, recoverability, and operational support
• Analyze traces, logs, metrics, and telemetry data to identify quality concerns and improvement opportunities
• Collaborate with development teams for remediation of quality, security, and performance issues before deployment
• Generate certification reports, scorecards, dashboards, and executive summaries for leadership review
• Drive continuous improvements to validation methodologies, testing strategies, and evaluation frameworks
• Lead certification and production readiness reviews for internal developer portals and platform initiatives


Requirements
• Bachelor’s Degree in Computer Science, Software Engineering, Data Science, AI, or related field
• 5+ years of experience in software quality engineering, platform engineering, software development, or related roles
• 2+ years working directly with Generative AI, LLMs, RAG architectures, AI agents, or AI applications
• Strong understanding of AI evaluation methodologies including accuracy testing and hallucination detection
• Experience with Azure AI Foundry, Azure OpenAI, LangChain, LangGraph, LangSmith, or similar frameworks
• Familiarity with cloud-native architectures and Azure services (Container Apps, Functions, Databricks, SQL, Key Vault, Cosmos DB)
• Experience supporting enterprise developer platforms and self-service engineering capabilities
• Skilled in designing automated test strategies, regression testing, and certification processes
• Strong analytical, troubleshooting, and documentation skills
• Excellent stakeholder engagement and communication abilities

Preferred Qualifications
• Experience building or validating enterprise AI agents and multi-agent systems
• Knowledge of AI observability and evaluation platforms like LangSmith
• Familiarity with knowledge retrieval solutions, embeddings, and semantic search
• Background in AI governance, Responsible AI, and compliance frameworks
• Experience working in regulated industries such as healthcare, finance, or insurance
• Proficiency with Azure DevOps, GitHub, and SDLC tooling
• Knowledge of identity management concepts including Entra ID and RBAC
• Ability to produce quality scorecards, dashboards, and KPI reports


System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Company Description

System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions.