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Remote Google Trainer Jobs in California (NOW HIRING)

Mercor

Home Video Recorder - AI Trainer

San Jose, CA · Remote

$10 - $15/hr

Remote Role Responsibilities * Record short first-person clips of everyday activities at home using ... Own an iPhone (12 or newer), Google Pixel (6 or newer), or Samsung Galaxy (S21 or newer). * Ability ...

YO AI Labs

Backend Java Developer - Remote

Palo Alto, CA · Remote

$60 - $110/hr

... training project. In this role, you will apply your backend development expertise to design ... Experience with AWS, Azure, or Google Cloud . * Experience with high-availability or distributed ...

YO AI Labs

Backend Java Developer - Remote

San Jose, CA · Remote

$60 - $110/hr

... training project. In this role, you will apply your backend development expertise to design ... Experience with AWS, Azure, or Google Cloud . * Experience with high-availability or distributed ...

YO AI Labs

Mental Health Expert - Remote

San Francisco, CA · Remote

$200 - $350/hr

... Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and ...

New

YO AI Labs

AI/ML Engineer - Remote

San Francisco, CA · Remote

$200 - $350/hr

... Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and ...

New

YO AI Labs

AI/ML Engineer - Remote

Palo Alto, CA · Remote

$200 - $350/hr

... Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and ...

New

YO AI Labs

Mental Health Expert - Remote

Palo Alto, CA · Remote

$200 - $350/hr

... Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and ...

New

YO AI Labs

Mental Health Expert - Remote

San Jose, CA · Remote

$200 - $350/hr

... Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and ...

New

YO AI Labs

AI/ML Engineer - Remote

Los Angeles, CA · Remote

$200 - $350/hr

... Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and ...

New

YO AI Labs

Mental Health Expert - Remote

Los Angeles, CA · Remote

$200 - $350/hr

... Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and ...

New

YO AI Labs

AI/ML Engineer - Remote

San Jose, CA · Remote

$200 - $350/hr

... Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and ...

New

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All JobsGoogle Trainer JobsRemote Google Trainer JobsRemote Google Trainer Jobs in California

Remote Google Trainer information

What is the difference between Remote Google Trainer vs Remote Google Ads Specialist?

AspectRemote Google TrainerRemote Google Ads Specialist
CertificationsGoogle Certified Trainer, Google Workspace CertificationGoogle Ads Certification, Google Analytics Certification
Work EnvironmentOnline training sessions, webinars, workshopsCampaign management, ad creation, optimization
Industry UsageEducational institutions, corporate trainingDigital marketing agencies, e-commerce
Primary FocusTeaching Google tools and platformsManaging and optimizing ad campaigns

While both roles involve Google tools, Remote Google Trainers focus on educating users about Google Workspace and related platforms, whereas Remote Google Ads Specialists concentrate on creating and managing advertising campaigns. The certifications overlap but differ in application, and their work environments and industry usage reflect their distinct functions.

How to become a remote Google trainer?

To become a remote Google trainer, you typically need expertise in Google tools and certifications such as Google Workspace or Google Cloud certifications. Experience in training, strong communication skills, and familiarity with online teaching platforms are also important. Applying to Google or authorized training programs and demonstrating relevant skills can help secure such roles.

What are popular job titles related to Remote Google Trainer jobs in California?

For Remote Google Trainer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Google Trainer jobs in California look for?

The top searched job categories for Remote Google Trainer jobs in California are:

What cities in California are hiring for Remote Google Trainer jobs?

Cities in California with the most Remote Google Trainer job openings:

Remote Google Trainer jobs near you

Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote

DivIHN

San Diego, CA • On-site, Remote

$110K - $152K/yr

Contractor

Posted 11 days ago

Job description

For further inquiries about this opportunity, please contact one of our Talent Specialists, Justeen at (224)-394-4903
Title: Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote
Duration: 6 Months with possible for extension
Location: Remote
Candidates must be available to work West Coast (PST) hours.
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Day to Day Responsibilities
  • RAG & Prompt Engineering: Craft and refine effective prompts for RAG, grounding, and context tuning to achieve optimal AI performance in product development.
  • High-Performance API Engineering: Develop asynchronous microservices (FastAPI) using Server-Sent Events (SSE) or WebSockets to stream real-time LLM responses to front-end UIs without backend timeouts.
  • Vector Database Infrastructure: Design, develop, and implement robust Vector Databases using LLMs and modern retrieval technologies to capture information from diverse engineering sources (PDFs, design docs, regulatory guidelines).
  • Data Extraction & Structuring Pipelines: Build and optimize pipelines to extract and structure multi-modal data (tables, text, images) from unstructured documents for LLM training, grounding, and runtime query execution.
  • LLM Fine-Tuning & Training: Fine-tune and train generative AI models using client's engineering data and domain knowledge to create high-accuracy, domain-specific models.
  • GenAI Application & Tool Development: Design and implement scalable backend APIs (FastAPI/REST) and UI integration interfaces so internal engineers can query knowledge bases and analyze data.
  • Automated Requirements Generation: Develop backend functionalities to automatically generate technical requirements from design documents, user stories, and system specification files.
  • Documentation & Knowledge Transfer: Thoroughly document architecture, code, REST endpoints, and model training procedures to enable seamless knowledge transfer to client's internal teams.
  • Cross-Functional Collaboration: Partner closely with Subject Matter Experts (SMEs), System Engineers, and V&V Test teams to optimize AI-powered workflows.
  • AI Guardrails, MLOps & Cost Governance: Implement hallucination checks, PII masking, and guardrails (e.g., NeMo Guardrails) for medical device context. Track token usage, latency, and costs using LangSmith or Vertex AI monitoring.
  • Collaborate closely with engineers and cross-functional teams to design and develop AI solutions.
  • Develop and integrate Generative AI applications and APIs.
  • Work with large datasets, document processing, and data pipelines.
  • Participate in problem-solving, solution design, and technical discussions.
  • Communicate effectively with team members and stakeholders.

Must-Have Qualifications :
  • Relevant Experience & STEM Foundation: 4+ years of professional software/ML engineering experience, with a dedicated AI/ML focus in the last 1-2 years.
  • Google Gemini / Vertex AI (Non-negotiable): Hands-on experience with the Gemini model family and Vertex AI, including deployment, grounding, and integration into production AI services. Hands-on experience with containerization (Docker) and deploying services via Cloud Run or GKE (Kubernetes).
  • Languages & AI Libraries: Proficiency in Python and modern ML/AI frameworks (PyTorch, LangChain, LangSmith) for building autonomous LLM agents, tools, and RAG pipelines.
  • Agent Building & Tool Calling: Proven experience building AI/LLM agents and tool-calling systems in Python against unstructured, multi-source data.
  • Context Engineering & RAG: Expertise in RAG pipelines, prompt engineering, context tuning, grounding, and Vector Databases (e.g., Milvus, Postgres/Pgvector). Clear understanding of advanced RAG architecture including Hybrid Search (Vector + Keyword), Re-ranking models, and semantic caching.
  • Unstructured Data Handling (Non-negotiable): Demonstrated ability to ingest, clean, extract, and structure text, tables, and images from unstructured documents (PDFs, design docs, regulatory files) for LLM training and usage.

Role Information
  • Generative AI Engineer role.
  • Experience in API development.
  • Hands-on experience with Google Gemini and Vertex AI.
  • Knowledge of Agentic AI frameworks and architectures.
  • Strong Python development skills, including experience with LangChain and related AI frameworks.
  • Open to candidates from any industry domain.

Required Skills :
  1. Full Stack Engineering - Building applications for AI-powered services (Backend APIs + Front-End Integration).
  2. Generative AI & LLM Platforms - 2+ years building RAG pipelines & LLM apps using Python, LangChain, and LangSmith.
  3. Agent Building & Unstructured Data - Building AI agents/tool-calling systems in Python and handling unstructured, multi-source data extraction (PDFs, docs).
  4. Strong hands-on experience in Artificial Intelligence and Generative AI
  5. Python programming expertise.
  6. Experience with LangChain and Agentic AI frameworks.
  7. Understanding data handling to pull data from PDFs, design docs, regulatory files

Preferred Skills :
  1. Direct experience architecting and serving custom REST APIs.
  2. Experience in regulated / compliance-sensitive domains (e.g., healthcare / medical device guidelines like FDA, ISO 13485).
  3. Experience integrating multiple LLM APIs beyond a single provider (OpenAI, Bedrock, Claude, or similar).

Additional Preferred Skills
  • Direct experience designing and deploying high-throughput REST APIs (e.g., FastAPI/Flask).
  • Familiarity with medical device development regulations and compliance (e.g., FDA guidelines, ISO 13485).
  • Experience integrating multiple LLM APIs beyond a single vendor (e.g., OpenAI, AWS Bedrock, Anthropic Claude).
  • Front-end development/integration experience for UI design (e.g., Streamlit, Gradio, React/Next.js integration).

Education Requirements:
  • Minimum Bachelors in Software/Computer/IT/Systems/Biomedical Engineering + 3 years

Required Testing:
  • Technical evaluation of Python proficiency, RAG architecture concepts, and API/Agent design.

Software Skills Required:
  • Languages: Python (AsyncIO, OOP), SQL.
  • AI & Agent Frameworks: PyTorch, LangChain, LangSmith, Vertex AI SDK.
  • API & Web Frameworks: FastAPI, Flask, REST APIs, Server-Sent Events (SSE).
  • Databases & Search: Milvus, Pgvector, Qdrant, Redis (caching).
  • Front-End Integration: Streamlit, Gradio, basic React/Next.js.
  • Testing & Guardrails: pytest, JUnit, LangSmith evaluation, NeMo Guardrails.
  • DevOps & Cloud: Docker, GCP (Vertex AI, Cloud Run, GKE), Git.

Required Certifications:
  • Professional certifications specific to AI/ML (e.g., Certified AI Professional / CAIP, Google Cloud ML Engineer) considered a plus.

Interview
  • Number of Interviews: 1,
  • Web Conference (Zoom/ TEAMs)
  • Live problem-solving and technical exercise during the interview.

Apply