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Remote Ai Engineer Salary In Jobs (NOW HIRING)

About CoreStory CoreStory unlocks the hidden intelligence in your legacy code. By using AI to ... Flexible, remote-first work environment. * Opportunities to define and build the AI roadmap of a ...

As our Staff AI Engineer, you will lead the vision and execution of our data platform and LLM ... The role is linked with our location in Berlin, but we are flexible about remote work in Germany.

... Salary : USD 95,000 - 133,000 Additional variable compensation and benefits may apply. Total ... Summary As an AI Engineer you will be a critical member in executing our AI initiatives within the ...

... Salary : USD 95,000 - 133,000 Additional variable compensation and benefits may apply. Total ... Summary As an AI Engineer you will be a critical member in executing our AI initiatives within the ...

... Salary : USD 95,000 - 133,000 Additional variable compensation and benefits may apply. Total ... Summary As an AI Engineer you will be a critical member in executing our AI initiatives within the ...

We are a fully remote company with offices in the Bay Area and NYC for those who prefer in-person ... The estimated annual salary and variable compensation for this role is between $185,000 - $200,000 ...

AI Engineer

Rockville, MD · On-site +1

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Key Qualifications: * 5+ years of experience in AI/ML, Data Science, or Data Engineering * 3+ years ...

We are a fully remote company with offices in the Bay Area and NYC for those who prefer in-person ... The estimated annual salary and variable compensation for this role is between $185,000 - $200,000 ...

While we are a remote-first company, the nature of this role requires candidates to be based in the ... The estimated annual salary and variable compensation for this role is between $155,000 - $190,000 ...

AI Engineer

Denver, CO · On-site +1

$100K - $135K/yr

AI Engineer Department: Data Engineering Employment Type: Permanent - Full Time Location ... Remote USA - In Tandem Compensation: $100,000 - $135,000 / year Description At In Tandem, we build ...

While we are a remote-first company, the nature of this role requires candidates to be based in the ... The estimated annual salary and variable compensation for this role is between $155,000 - $190,000 ...

AI Engineer

Rockville, MD · Remote

$140K/yr

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Key Qualifications: * 5+ years of experience in AI/ML, Data Science, or Data Engineering * 3+ years ...

AI Engineer

WV · On-site +1

$81K - $97K/yr

AI engineers typically have a strong background in computer science, mathematics, and data ... Rather, salary will be set based on experience, geographic location and possibly contractual ...

New

While we are a remote-first company, the nature of this role requires candidates to be based in the ... The estimated annual salary and variable compensation for this role is between $155,000 - $190,000 ...

... certifications in relevant areas (if required). What We Offer: - Competitive salary and a ... hours and remote work options. Employer Details Galore Creative Staffing offers competitive ...

AI Engineer

San Antonio, TX · On-site +1

$99K - $225K/yr

Salary at Booz Allen is determined by various factors, including but not limited to location, the ... If this position is listed as remote, there may still be occasions when you are required to work in ...

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

Salary at Booz Allen is determined by various factors, including but not limited to location, the ... If this position is listed as remote, there may still be occasions when you are required to work in ...

Showing results 21-40

Remote Ai Engineer Salary In information

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$38K

$115.9K

$191.5K

How much do remote ai engineer salary in jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote ai engineer salary in in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Engineer Salary In vs Data Scientist?

RoleAverage Salary RangeRequired CredentialsWork Environment
Remote Ai Engineer$80,000 - $140,000Bachelor's or higher in CS, AI, or related fields; experience with ML frameworksRemote, tech companies, startups
Data Scientist$75,000 - $135,000Bachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis toolsRemote, finance, tech, healthcare industries

Both roles require strong technical credentials and often similar work environments, but salaries for Remote Ai Engineers tend to be slightly higher due to specialized AI development skills. Understanding these differences can help job seekers target the right roles and salary expectations.

Can you work remotely as a remote AI engineer?

Yes, many AI engineering roles are available as remote positions, especially those focused on software development, data analysis, and machine learning model deployment. Remote AI engineers typically need strong programming skills in languages like Python, experience with cloud platforms, and effective communication tools to collaborate with teams. Availability of remote work depends on the employer and specific job requirements.

How much do remote AI engineers make?

Remote AI engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific tools like TensorFlow or PyTorch may command higher salaries. Compensation can also include benefits such as bonuses, stock options, and flexible schedules.

Is a remote AI engineer a high paying job?

Remote AI engineers typically earn high salaries due to the specialized skills required in machine learning, deep learning, and programming with tools like Python and TensorFlow. Compensation varies based on experience, location, and company, but generally, AI engineering is considered a well-paying role in the tech industry.
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Infographic showing various Remote Ai Engineer Salary In job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Full-time

Re-posted 3 days ago


Job description

About CoreStory
CoreStory unlocks the hidden intelligence in your legacy code. By using AI to surface business logic and technical insights, we give enterprises the clarity to modernize faster, maintain apps smarter, and reduce the risk of costly failures.
We're looking for an AI Engineer who is passionate about building intelligent systems that blend large language models, retrieval architectures, and conversational agents into cohesive, scalable products. This role is critical to the core AI engine powering the CoreStory Platform.
Role Overview
As an AI Engineer, you'll play a central role in developing and optimizing the AI components that power CoreStory's narrative intelligence platform. You'll work across LLM integration, vector search systems, prompt orchestration, agentic systems, and retrieval-augmented generation (RAG) pipelines.
You'll collaborate closely with the product, data, and infrastructure teams to prototype, productionize, and continuously evolve our AI stack - ensuring that our systems are accurate, explainable, efficient, and on the cutting edge of modern AI capabilities.
Key Responsibilities
  • Design, implement, and optimize LLM-powered systems (e.g., RAG, chat agents, summarizers, knowledge graph integration).
  • Build and manage data indexing and retrieval pipelines using LlamaIndex, LangChain, or similar frameworks.
  • Implement and maintain vector databases (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure Cognitive Search).
  • Integrate open-source and proprietary LLMs (e.g., GPT, Claude, Llama) into the CoreStory Platform.
  • Develop and refine AI-driven features - including generative insights, automated summarization, and narrative analytics.
  • Collaborate with DevOps and backend teams to deploy scalable AI services within CoreStory's cloud infrastructure.
  • Continuously benchmark model performance, latency, and cost, identifying opportunities for optimization.
  • Stay current with advancements in AI - from model architectures to emerging frameworks - and propose innovative applications aligned with CoreStory's mission.
  • Contribute to internal documentation, experimentation frameworks, and evaluation methodologies.
Qualifications
Required Skills:
  • 7+ years of overall engineering experience with at least 3+ years of experience in AI engineering, machine learning, or applied NLP.
  • Strong hands-on experience with LlamaIndex, LangChain, or similar orchestration frameworks.
  • Experience designing and implementing vector database solutions (e.g., Pinecone, Neo4j, FAISS, Milvus, Weaviate).
  • Solid understanding of LLM APIs (OpenAI, Anthropic, Mistral, Hugging Face, etc.).
  • Proficiency in Python, with experience in libraries such as FastAPI, Pandas, or NumPy.
  • Understanding of retrieval-augmented generation (RAG) patterns, embeddings, and tokenization.
  • Familiarity with prompt engineering, tool calling, and chat agent architectures.
  • Strong problem-solving and analytical mindset, with attention to performance and scalability.
  • Demonstrated interest in staying up-to-date with the fast-evolving AI landscape.

Preferred:
  • Experience deploying AI services in production (e.g., using Docker, Azure, or AWS).
  • Exposure to LangGraph, semantic search, or hybrid RAG systems.
  • Familiarity with knowledge graphs, document intelligence, or multimodal AI.
  • Previous experience in SaaS or early-stage startup environments.
What We Offer
  • Competitive compensation and equity.
  • Flexible, remote-first work environment.
  • Opportunities to define and build the AI roadmap of a fast-growing technology company.
  • Collaborative, learning-oriented culture.
  • Access to cutting-edge AI models, research, and infrastructure.