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Ai Remote Contract Jobs (NOW HIRING)

... Data & AI, Autonomous Operations & Intelligence, and Enterprise Service Management. We help ... This is a remote contract opportunity with one of Arctiq's clients. Key Responsibilities: Inventory ...

This is a fully remote contract role with flexible hours - real, high-impact engineering work on production systems at the frontier of AI development. * Organization : Alignerr * Type : Hourly ...

AI Lead (SAP Background Required)

Torrance, CA ยท On-site +1

$106K - $139K/yr

We have got a Remote contract opportunity for AI Lead with one of our clients. The detail of the position is as given below. Title : AI Lead or Lead GenAI Engineer (SAP Background Required) Location:

This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED CANDIDATES ... Design and develop scalable solutions utilizing AI tools and machine learning models. * Conduct ...

This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED CANDIDATES ... Design and develop scalable solutions utilizing AI tools and machine learning models. * Conduct ...

Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with flexible weekly hours. No AI ...

This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED CANDIDATES ... Design and develop scalable solutions utilizing AI tools and machine learning models. * Conduct ...

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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 Jun 8, 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 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.

What are AI remote contract jobs?

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.
More about Ai Remote Contract jobs
What cities are hiring for Ai Remote Contract jobs? Cities with the most Ai Remote Contract job openings:
What are the most commonly searched types of Ai Remote jobs? The most popular types of Ai Remote jobs are:
What states have the most Ai Remote Contract jobs? States with the most job openings for Ai Remote Contract jobs include:
Infographic showing various Ai Remote Contract job openings in the United States as of May 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $101,781 per year, or $48.9 per hour.

IAM Specialist - Remote Contract

Arctiq

Blue Bell, PA โ€ข Remote

Contractor

Posted 18 days ago


Job description

Salary:

Arctiq is a global, intelligence-driven technology services company delivering professional and managed services across Hybrid Cloud Infrastructure, Networking & Connected Experiences, Cybersecurity, Data & AI, Autonomous Operations & Intelligence, and Enterprise Service Management. We help organizations operate, secure, and modernize complex environments by unifying infrastructure, networking, data, security, automation, and observability under a single, integrated operating model. Our work focuses on helping customers reduce operational friction, improve resilience, and make better, faster decisions as their environments evolve. Arctiq builds on decades of industry expertise and a customer-centric ethos to deliver exceptional value to clients across diverse industries.


We are seeking a highly skilled and experienced technical professional to join our team to manage and oversee the integration of AWS and Azure services. The role will focus on implementing an inventory system for all approved services, including IAM resources and policies, and ensuring the security, efficiency, and consistency of our cloud operations.


This is a remote contract opportunity with one of Arctiq's clients.

Key Responsibilities:

Inventory Management:

  • Maintain an inventory of all approved AWS and Azure services.
  • Catalog IAM resources, differentiate between AWS control plane resources (roles, policies) and local resources.
  • Identify and inventory local data plane resources (user/keys/roles/policies/groups) and manage their credentials in vaults.
  • Ensure resource policies are applied across services.
  • Utilize tools like Wiz for inventory, reporting, and evidence collection, with correlation back to AWS/Azure documentation.
  • Identify and manage external dependencies, including secrets, keys, and policies.

Metadata Strategy:

  • Develop a comprehensive metadata tagging strategy mapped to ASL, environment, and repository association.
  • Define and document approved access patterns for services and users, aligning with predefined roles like Reader, Contributor, and Administrator.
  • Module Development:
  • Design and build modules for each service access pattern to be published in the service registry.
  • Ensure consistent enforcement of role/policy naming conventions, metadata, and parameters.
  • Customize module policies to accommodate unique use-cases.
  • Establish methods to correlate modules with service resource policies and user roles/policies.

Controls and Methodology:

  • Inventory and maintain controls pertinent to IAM and Cloud Standards for each service.
  • Develop methodologies to identify conditions for using "pre-approved" service registry modules via pipelines.
  • Define criteria for pre-approval and manual review processes, detailing the manual review procedure.

Procedure Development:

  • Formulate request and approval processes for new modules.
  • Outline the pre-approval process, including pipeline and approval authority.
  • Implement a "shift-left" strategy to proactively address IAM cloud operations staffing.

Documentation:

  • Document IAM configurations for pipelines and repositories.
  • Develop and maintain IAM SDLC documentation.


Recommendations and Strategy:

  • Offer recommendations on team structure, roles, skillsets, and resourcing needs.
  • Define the support structure, including Service Desk, Global Command Center, Cloud Operations, and Cloud Engineering.
  • Develop a comprehensive IAM Cloud program and define its functions.

Required Qualifications:

  • Extensive experience with AWS and Azure services.
  • Thorough understanding of IAM resources, roles, policies, and best practices.
  • Proficiency in metadata tagging strategies and service access pattern development.
  • Experience with inventory tools like Wiz and credential management systems.
  • Strong documentation and process development skills.
  • Ability to provide strategic recommendations and design structured processes for cloud operations.

Preferred Qualifications:

  • Relevant certifications in AWS and Azure.
  • Experience implementing and managing cloud infrastructure programs.
  • Strong communication and project management skills.