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Weekend 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 · 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 - 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 ...

AI Engineer

Chicago, IL · Remote

$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

Chicago, IL · On-site +1

$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 ...

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 ...

... remote and office presence as needed. - Opportunity to learn from senior engineers and grow into more advanced AI engineering responsibilities. - Career growth in AI engineering, application ...

... remote and office presence as needed. - Opportunity to learn from senior engineers and grow into more advanced AI engineering responsibilities. - Career growth in AI engineering, application ...

... remote and office presence as needed. - Opportunity to learn from senior engineers and grow into more advanced AI engineering responsibilities. - Career growth in AI engineering, application ...

AI Engineer

San Francisco, CA · 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 ...

Lead AI Engineer

Columbus, OH · Remote

$152K - $190K/yr

Remote * Schedule : 8:00 A.M. to 5:00 P.M. Monday through Friday with night and weekend hours on occasion as determined by the needs of the business. * Regular meetings with internal AI Engineering ...

Senior AI Engineer - Remote

Dallas, TX · On-site +1

$105K - $147K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Dallas, Texas (US-TX), United States (US). Day to Day job Duties: We are seeking an Senior AI Engineer to join our team. The ...

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Weekend Remote Ai Engineer information

See salary details

$39K

$101.8K

$137.5K

How much do weekend remote ai engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for weekend remote ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are Weekend Remote AI Engineers?

Weekend Remote AI Engineers are professionals who design, build, and maintain artificial intelligence systems while working remotely, typically on weekends. They may be employed part-time, as freelancers, or on a project basis to assist organizations with AI development outside of standard business hours. Their responsibilities can include developing machine learning models, processing data, and integrating AI solutions into existing products. This role is ideal for individuals seeking flexible work arrangements or supplemental income, and it requires strong programming and analytical skills.

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

AspectWeekend Remote Ai EngineerWeekend Remote Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's in CS, Statistics, or related; experience with data analysis
Work EnvironmentRemote, project-based, AI development teamsRemote, data analysis projects, research teams
Industry UsageTech, AI startups, software companiesTech, finance, healthcare, research institutions

Weekend Remote Ai Engineers focus on developing AI models and algorithms, often working on machine learning and deep learning projects. In contrast, Weekend Remote Data Scientists analyze data to extract insights, supporting decision-making. Both roles require technical skills and often operate remotely on flexible schedules, but their core responsibilities differ in AI development versus data analysis.

What are the key skills and qualifications needed to thrive as a Weekend Remote AI Engineer, and why are they important?

To thrive as a Weekend Remote AI Engineer, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow, PyTorch), version control systems (like Git), and cloud platforms (AWS, Azure, or GCP) is essential. Excellent problem-solving, time management, and communication skills help you excel in a remote, asynchronous work environment. These competencies ensure you can independently deliver high-quality AI solutions and collaborate effectively, even outside traditional work hours.

What are some common challenges faced by Weekend Remote AI Engineers, and how can they be addressed?

Weekend Remote AI Engineers often encounter challenges such as limited real-time collaboration with team members working standard weekday hours, balancing time management with personal commitments, and staying updated with ongoing project changes. To address these, it’s helpful to utilize asynchronous communication tools, maintain clear documentation of work, and proactively sync with team leads before and after the weekend. Establishing a structured routine and setting clear goals for each weekend session can also enhance productivity and integration with the broader team.
More about Weekend Remote Ai Engineer jobs
What cities are hiring for Weekend Remote Ai Engineer jobs? Cities with the most Weekend Remote Ai Engineer job openings:
What states have the most Weekend Remote Ai Engineer jobs? States with the most job openings for Weekend Remote Ai Engineer jobs include:
AI Engineer- Federal Government Remote

AI Engineer- Federal Government Remote

United Global Technologies

Menlo Park, CA • Remote

$123K - $169K/yr

Full-time, Contractor

Posted 25 days ago


Job description

No subs- No sponsorship

Remote

AI Engineer (Mid–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 — 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 — 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 — 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, NC–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.