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Remote Generative Ai Jobs (NOW HIRING)

Inficare Technologies

AI Engineer - Generative AI

Canada or Mexico (Remote) Job Type: Contract Experience: 5-10 years software development; 2-4 years hands-on Generative AI Shift: 1:00 PM - 9:00 PM PST Job Overview We are seeking an experienced AI ...

Innodata Inc.

Generative AI Associate

$15/hr

We provide a range of transferable solutions, platforms, and services for Generative AI / AI ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

Innodata Inc.

Generative AI Associate

$15/hr

We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global ... It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

This internship provides competitive hourly compensation, flexible and remote-friendly scheduling ... Conduct research on emerging generative AI techniques, foundation models, and best practices ...

Study.com C

Generative AI Video Lesson Creator

Generative AI Video Lesson Creator Project Description Study.com is the leading educational website ... This is a remote contractor role. Educational Level Required: Bachelor's degree in a domain ...

Study.com C

Generative AI Video Lesson Creator

Generative AI Video Lesson Creator Project Description Study.com is the leading educational website ... This is a remote contractor role. Educational Level Required: Bachelor's degree in a domain ...

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Remote Generative Ai information

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$148.2K

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How much do remote generative ai jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote generative ai in the United States is $148,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,500.00 and $167,500.00 per year, depending on experience, location, and employer.

What is a remote generative AI?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.

What skills and qualifications are needed to thrive as a remote generative AI specialist?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

What are common challenges faced by remote generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What are the best remote generative AI jobs?

Remote generative AI jobs include roles such as AI research scientist, machine learning engineer, and data scientist, focusing on developing and deploying AI models like GPT or DALL·E. These positions often require skills in programming, deep learning frameworks, and experience with large language models, with many opportunities available through tech companies, research institutions, and startups. They typically offer flexible schedules and may require certifications or advanced degrees in computer science or related fields.

What jobs can I get with remote generative AI?

Remote generative AI skills can qualify you for roles such as AI content developer, machine learning engineer, data scientist, or AI research scientist. These positions often require knowledge of AI frameworks, programming languages like Python, and experience with large language models or neural networks. Many of these jobs are available in tech companies, research institutions, and startups, often with flexible schedules and remote work options.
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Cities with the most Remote Generative Ai job openings:

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What states have the most Remote Generative Ai jobs?

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What job categories do people searching Remote Generative Ai jobs look for?

The top searched job categories for Remote Generative Ai jobs are:

Remote Generative Ai jobs near you
Infographic showing various Remote Generative Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $148,233 per year, or $71.3 per hour.

AI Engineer - Generative AI

Remote

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Inficare Technologiesexternal

Full-time

Posted 14 days ago

Job description

Job Title: AI Engineer - Generative AI
Location: Canada or Mexico (Remote)
Job Type: Contract
Experience: 5-10 years software development; 2-4 years hands-on Generative AI
Shift: 1:00 PM - 9:00 PM PST
Job Overview
We are seeking an experienced AI Engineer specialising in Generative AI to design, develop, and deploy enterprise-grade AI applications powered by Large Language Models (LLMs). The ideal candidate will have hands-on experience building Retrieval-Augmented Generation (RAG) solutions, document intelligence platforms, multimodal AI applications, and scalable AI APIs using Azure OpenAI and Python.
Key Responsibilities
  • Design, develop, and deploy enterprise Generative AI applications using Azure OpenAI Services
  • Build RAG pipelines using embeddings and vector databases
  • Develop scalable REST APIs using FastAPI and Flask
  • Integrate Vision LLMs for image, document, and multimodal understanding
  • Build document processing pipelines using PyMuPDF for PDF extraction and parsing
  • Implement semantic search using FAISS Vector Database
  • Engineer prompts and optimise LLM responses for enterprise use cases
  • Develop AI-powered chatbots, document Q&A, summarisation, and intelligent automation solutions
  • Implement monitoring and evaluation frameworks using Opik or similar LLM observability tools
  • Ensure AI applications follow security, governance, and responsible AI best practices
Required Skills
  • Generative AI: LLMs, Prompt Engineering, RAG, Embeddings, Semantic Search, AI Agents, Function Calling, Model Evaluation
  • Cloud & AI Platforms: Azure OpenAI Service, Azure AI Services, Azure Storage
  • Programming: Python (Advanced), FastAPI, Flask, REST API Development, Async Programming
  • AI Frameworks: LangChain, LlamaIndex, PyMuPDF, FAISS, Vision LLMs, OpenAI SDK
  • Dev Tools: VS Code, PyCharm, Git, GitHub / Azure DevOps, Docker
  • Observability: Opik, LLM Monitoring, Experiment Tracking, Performance Benchmarking
Preferred Skills
  • LangGraph, AutoGen / CrewAI, Azure AI Search, Cosmos DB, PostgreSQL, Redis, Kubernetes, MLflow, Hugging Face, OCR (Azure Document Intelligence, Tesseract), CI/CD pipelines, MLOps, Transformers, Azure Cognitive Search, Azure Functions
Location & Work Model
Fully remote - open to candidates based in Canada or Mexico. Shift: 1:00 PM - 9:00 PM PST (please confirm availability before applying).
Engagement Details
Contract engagement. Duration to be confirmed upon selection.

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