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Remote Ai Engineer Jobs (NOW HIRING)

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud experience. * Python/PySpark ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Interviews: 2 rounds Top Requirements: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud ...

Independent Contractor Job Summary We are looking for a highly skilled AI Engineer to design, build ... Experience working in remote or distributed teams is a plus. Benefits Competitive salary based on ...

Independent Contractor Job Summary We are looking for a skilled AI Engineer with at least 2 years ... remote environment. Key Responsibilities * Design, build, and deploy AI/ML models for real-world ...

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... The AI Engineer will collaborate closely with other engineers and the broader DAIA team to ...

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... The AI Engineer will collaborate closely with other engineers and the broader DAIA team to ...

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... The AI Engineer will collaborate closely with other engineers and the broader DAIA team to ...

AI Engineer

Raleigh, NC ยท Remote

$130K - $160K/yr

AI Engineer, location is remote in the Raleigh, NC area with onsite collaboration as needed. The start date is end of July / early August for this permanent salaried position with a one-year end date.

AI Engineer

$100K - $140K/yr

Remote (US or Canada) Rate: $90,000-$140,000 USD (rates vary in Canada) Position Overview Cyclotron's AI Engineering team is hiring an AI Engineer to help deliver production AI systems for our ...

AI Engineer

Hartford, CT ยท Remote

$45 - $55/hr

Remote Location: Hartford, CT is 06105 Employment Type: Contract Engagement Type: W2 or 1099 only; no C2C Position Overview Dhaka Technologies Limited is seeking a hands-on AI Engineer to support the ...

AI Engineer - Remote Apply now Job no: 504788 Work type: Full Time Regular Location: Nebraska, Remote Categories: Information Technology Mutual Of Omaha is seeking an experienced developer to lead ...

The AI Engineer (Remote) is responsible for designing, developing, deploying, and maintaining enterprise-grade AI and machine learning (ML) solutions that integrate seamlessly across the company ...

AI Engineer

San Francisco, CA ยท Remote

$150K - $250K/yr

AI Engineer Type: Full-time | Remote (US) -- San Francisco preferred Compensation: $150K - $250K + equity Visa sponsorship: Not available (TN available; no H-1B) About the Company A Series B health ...

AI Engineer

Pittsburgh, PA ยท Remote

$70 - $76/hr

Remote - US, Canada, India Salary: $70.00-$76.00/Hourly Role: AI Engineer Primary Skills: Python Role Description: The AI Engineer must have 3+ years of experience. Fir this role, you must be a ...

We're looking for an AI Engineer who is passionate about building intelligent systems that blend ... Flexible, remote-first work environment. * Opportunities to define and build the AI roadmap of a ...

Remote The Applied AI role focuses on developing, deploying, and optimizing artificial intelligence systems for real-world applications. The position bridges research and engineering by transforming ...

AI Engineer

Columbia, MD ยท On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain a Public Trust Key Qualifications: * 5+ years of experience in AI/ML, Data Science, or Data ...

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Remote Ai Engineer information

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$53

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How much do remote ai engineer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for remote ai engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is a Remote AI Engineer job?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What is it like collaborating with team members as a Remote AI Engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.

What are the key skills and qualifications needed to thrive in the Remote Ai Engineer position, and why are they important?

To thrive as a Remote AI Engineer, you need a strong background in machine learning, deep learning, programming (Python, TensorFlow, PyTorch), and a relevant degree in computer science or a similar field. Familiarity with cloud platforms (such as AWS, GCP, or Azure), version control systems like Git, and relevant certifications (e.g., AWS Certified Machine Learning) are beneficial. Excellent problem-solving skills, self-motivation, clear communication, and the ability to collaborate in a distributed team set exceptional candidates apart. These competencies are crucial for effectively building, deploying, and maintaining AI solutions in a remote, fast-paced environment.

More about Remote Ai Engineer jobs
What cities are hiring for Remote Ai Engineer jobs? Cities with the most Remote Ai Engineer job openings:
What are the most commonly searched types of Ai Engineer jobs? The most popular types of Ai Engineer jobs are:
What states have the most Remote Ai Engineer jobs? States with the most job openings for Remote Ai Engineer jobs include:
Infographic showing various Remote Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.
AI Engineer- Federal Government Remote

AI Engineer- Federal Government Remote

United Global Technologies

Menlo Park, CA โ€ข Remote

$123K - $169K/yr

Full-time, Contractor

Posted 20 days ago


Job description

No subs- No sponsorship

Remote

AI Engineer (Midโ€“Senior)

United Global Technologies (UGT) | Remote (U.S.), | Full-time

UGT is hiring a mid-to-senior AI Engineer to design, build, and operate governed, production-grade AI capabilities across a multi-cloud environment (AWS Bedrock, Google Gemini for Government, and Microsoft Copilot) for a leading U.S. Department of Energy. You'll own data pipelines and AI control plane that make these capabilities secure, observable, and cost-governed โ€” and mentor a junior engineer. This is a hands-on role at the center of the lab's emerging AI portfolio.

WHAT YOU'LL DO

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Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (GCP for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate.

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Operate the AI control plane (LightLLM) as the central hub for model access, monitoring, cost allocation, and governance, and extend it to additional model paths.

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Architect scalable data pipelines โ€” aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems.

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Advance the lab's AI work-planning and control system: ingest Environment, Safety & Health (ES&H) manuals, generate hazard identifications, orchestrate SME approval workflows, and produce formalized work packages.

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Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM.

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Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform.

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Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI).

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Mentor a junior AI engineer and help establish engineering conventions and onboarding standards.

WHAT WE'RE LOOKING FOR (REQUIRED)

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5+ years of professional software / AI engineering experience, with a strong Python foundation.

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Hands-on experience building LLM / RAG applications โ€” retrieval, chunking strategies, prompt orchestration, and evaluation.

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Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini.

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Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent).

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Practical understanding of security and data governance, including handling of sensitive or controlled data.

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U.S. citizenship or permanent residency (supports a federal / DOE environment).

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Ability to provide consistent support during Pacific Time core business hours.

NICE TO HAVE (PREFERRED)

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Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment.

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Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance.

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Experience using Microsoft Copilot for enterprise RAG use cases.

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Experience integrating application and AI logging into a SIEM.

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Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge.

EMPLOYMENT & ELIGIBILITY

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Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role).

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Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required.

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Must reliably support Pacific Time core business hours.

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U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work).

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Government-furnished equipment provided for the engagement.

ABOUT UGT

United Global Technologies, Inc. (UGT) is a Charlotte, NCโ€“based IT solutions firm serving public-sector, federal, and national-laboratory clients. UGT is a six-time Inc. 5000 honoree and holds WOSB, SBE, DBE, and MBE certifications, with long-standing relationships across the U.S. Department of Energy national laboratory system.