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Ai Remote Contract Jobs (NOW HIRING)

3B Staffing LLC

AI/ML Software Engineer

Manhattan, NY · On-site +1

our client is looking for an AI/ML SDE for a remote contract. If you have a matching candidate, please send them over. Location: Remote, but interviews or laptop pickup must occur at one of the ...

3B Staffing LLC

AI/ML Software Engineer

Manhattan, NY · On-site +1

our client is looking for an AI/ML SDE for a remote contract. If you have a matching candidate, please send them over. Location: Remote, but interviews or laptop pickup must occur at one of the ...

Weekday AI

AI Evaluation Specialist

$70/hr

This is a fully remote, contract-based opportunity with flexible working hours. Requirements Key Responsibilities Evaluate AI Responses * Review AI-generated content for accuracy, logical reasoning ...

Weekday AI

Equity Research AI Specialist

$120/hr

This is a remote, contract-based opportunity offering flexible working hours and the chance to contribute to cutting-edge AI innovation. Requirements Key Responsibilities Evaluate Financial Analysis

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Ai Remote Contract information

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$30

$48

$99

How much do ai remote contract jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai remote contract in the United States is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $50.72 per hour, depending on experience, location, and employer.

What is an AI remote contract?

AI remote contract jobs are temporary or project-based positions where professionals work on artificial intelligence tasks for a company or client from a remote location. These roles can include responsibilities such as developing machine learning models, data analysis, natural language processing, or AI research. Contracts can vary in length and are often focused on specific deliverables or milestones, offering flexibility for both the worker and the employer. AI remote contract jobs are popular among companies seeking specialized skills without committing to full-time hires, and among professionals who prefer flexible work arrangements.

What are some common challenges faced by AI professionals working on remote contract projects?

AI professionals working remotely on contract projects often encounter challenges such as aligning with distributed teams across different time zones and ensuring smooth communication. They may also need to adapt quickly to varying project requirements and organizational cultures, as well as manage their own workflow and deadlines with less direct supervision. Additionally, remote contractors must be proactive in seeking feedback and clarifying project goals to deliver high-quality outcomes while maintaining a healthy work-life balance.

What are the key skills and qualifications needed to thrive as an AI remote contractor, and why are they important?

To thrive as an AI Remote Contractor, you need strong programming skills in languages like Python, a solid foundation in machine learning concepts, and relevant experience or a degree in computer science or related fields. Familiarity with tools and frameworks such as TensorFlow, PyTorch, cloud platforms (AWS, GCP), and version control systems like Git is typically required. Excellent self-management, communication, and problem-solving skills are essential to collaborate effectively and deliver results in a remote environment. These skills and qualities are crucial for ensuring productivity, meeting project goals, and adapting to the fast-evolving demands of AI development.

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

AspectAi Remote ContractData Scientist
CredentialsTypically requires AI, machine learning, or data analysis certificationsRequires degrees in data science, statistics, or related fields
Work EnvironmentRemote, project-based, often freelance or contract rolesRemote or on-site, full-time or contract positions in organizations
Industry UsageUsed across tech, finance, healthcare, and more for AI projectsUsed across industries for data analysis, modeling, and insights

Ai Remote Contract roles focus on short-term, project-based AI work often requiring specific certifications, while Data Scientist roles involve analyzing data to inform business decisions, with more emphasis on degrees and ongoing employment. Both roles can be remote but differ in scope and employment type.

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What states have the most Ai Remote Contract jobs?

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Ai Remote Contract jobs near you
Infographic showing various Ai Remote Contract job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $101,781 per year, or $48.9 per hour.

AI/LLM Developer/Engineer (Kubernetes & OpenShift)

3B Staffing LLC

Houston, TX • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

AI/LLM Developer/Engineer (Kubernetes & OpenShift)

Duration: 12+ months / Long-Term (yearly renewals)

Location: Remote (Must reside in the US)

We're seeking a highly skilled AI/LLM Toolkit Developer to join a long-term remote contract engagement focused on building a cutting-edge enablement solution for technical support teams.

This role involves developing a comprehensive toolkit that leverages AI agents and large language models (LLMs) with retrieval-augmented generation (RAG) to streamline onboarding and reduce reliance on complex documentation.

What You'll Build:

You'll design and implement a robust, AI-powered toolkit that empowers support teams to manage and troubleshoot hybrid environments with ease. The toolkit will cover:

Kubernetes Foundations: Core concepts like pods, deployments, services, namespaces, limits, eviction policies, and network policies.

Virtualization Layer: Deep dive into OpenShift Virtualization and KVM-based VM management.

Mixed Workloads: Best practices for managing VMs and containers on a unified platform.

Containerization: Communication and coordination between VMs and containers, including useful container tools.

Resource Management: Efficient handling of CPU, memory, and storage for both VMs and containers.

Networking: Kubernetes networking, User Defined Networks (UDNs), and F5 SPK integration.

Storage: Persistent volume frameworks, tuning storage traffic, fault tolerance, and database replication strategies.

Live Migration: Seamless VM migration with minimal downtime, including database and storage considerations.

Automation & Orchestration: Automating provisioning, deployment, and scaling in a Webscale environment.

Troubleshooting & Maintenance: Diagnosing issues, analyzing logs, and applying software updates.

Configuration & Customization: Tailored networking and storage solutions to meet specific use cases.

High Availability: Strategies for fault tolerance and resilient application design across various workloads.

Ideal Candidate:

Strong experience with Kubernetes, OpenShift 4.18, and virtualization technologies

Familiarity with AI/LLM integration, especially RAG-based systems

Proven ability to create technical enablement tools and documentation

Comfortable working independently in a remote, contract-based environment

Work Environment:

Remote-first: Work from anywhere

Long-term contract: Stability with flexibility

Impactful work: Help shape how support teams onboard and operate at scale

Apply