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Remote Artificial Intelligence Research Assistant Jobs

OneMagnify

Director of Artificial Intelligence

Define how AI initiatives - from foundational R&D to deployed production systems - are resourced ... D.) in Computer Science, Artificial Intelligence, Data Science, or a related field; equivalent ...

New York University

Research Assistant

New York, NY · On-site +1

$29/hr

The research assistant will meet with the principal investigator on a weekly basis to discuss ... Remote Commitment: Temporary - Part-Time (10 hours/week) Start date: June 30, 2025 End date: August ...

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Remote Artificial Intelligence Research Assistant information

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How much do remote artificial intelligence research assistant jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for remote artificial intelligence research assistant in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

How does a Remote Artificial Intelligence Research Assistant typically collaborate with researchers and engineers in a distributed team environment?

As a Remote Artificial Intelligence Research Assistant, you will regularly collaborate with researchers, engineers, and other team members using digital tools such as video conferencing, shared code repositories, and project management platforms. Clear communication and proactive updates are essential, as team members may be distributed across different time zones. You'll often participate in virtual meetings to discuss research progress, share findings, and coordinate on experiments or data analysis tasks. Building strong documentation habits and being comfortable with asynchronous workflows are key to thriving in this role.

What is the difference between Remote Artificial Intelligence Research Assistant vs Remote Data Scientist?

AspectRemote Artificial Intelligence Research AssistantRemote Data Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in machine learning or AI are commonDegree in data science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentRemote, research-focused, often in academic or tech industry settingsRemote or on-site, industry-focused, working with large datasets and analytics tools
Employer & Industry UsageResearch institutions, tech companies, AI startupsTech companies, finance, healthcare, e-commerce

While both roles involve working with data and AI technologies remotely, the Remote Artificial Intelligence Research Assistant primarily focuses on research and development of AI models, whereas the Remote Data Scientist emphasizes analyzing data to derive actionable insights for business decisions.

What does a Remote Artificial Intelligence Research Assistant do?

A Remote Artificial Intelligence Research Assistant supports AI research projects by gathering and analyzing data, conducting literature reviews, building and testing machine learning models, and helping to document findings. Working remotely, they collaborate with research teams using digital tools to complete tasks and communicate results. Their work is essential in advancing AI algorithms, exploring new methodologies, and ensuring research is up to date with the latest scientific developments.

What are the key skills and qualifications needed to thrive as a Remote Artificial Intelligence Research Assistant, and why are they important?

To thrive as a Remote Artificial Intelligence Research Assistant, you typically need a strong background in computer science, mathematics, or a related field, along with experience in AI/ML concepts and research methodologies. Proficiency with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and collaboration tools (like Git and cloud platforms) is essential. Strong analytical thinking, self-motivation, and effective written communication are invaluable soft skills for remote work and research dissemination. These skills enable you to contribute meaningful research, collaborate seamlessly across distances, and advance innovative AI solutions.
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Remote Artificial Intelligence Research Assistant jobs near you
Infographic showing various Remote Artificial Intelligence Research Assistant job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 42% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.
Artificial Intelligence Lead

Artificial Intelligence Lead

Logistics Management Institute

Remote

Other

Posted 6 days ago

Job description

Overview
LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General Services Administration (GSA) in delivering advanced AI-enabled capabilities within a modern, web-based acquisitions system. This initiative modernizes Governmentwide Indefinite Delivery Vehicle (IDV) contracting through modular, cloud-based services that improve efficiency, automation, and decision support across the acquisition lifecycle.
The AI Lead will serve as the senior authority responsible for defining and implementing the AI technical approach across the program. This individual must possess deep, hands-on expertise in integrating and orchestrating multiple AI agents into a cohesive, autonomous ecosystem and ensure the development team consistently follows that approach. AI capabilities are designed to provide decision support and transparency while preserving human oversight and contracting officer judgment.
The ideal candidate combines advanced AI/ML expertise, production-level deployment experience, federal governance knowledge, and the ability to lead cross-functional teams in secure, cloud-based environments.
This position is anticipated to be majority remote, but with the ability to travel and visit the client's offices in Washington, D.C. as frequently as needed.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
AI Strategy & Technical Leadership
  • Serve as the primary authority for AI architecture, research, and implementation
  • Define and oversee the technical approach for integrating and orchestrating multiple AI agents into a unified ecosystem
  • Align AI initiatives with program objectives and GSA modernization goals
  • Evaluate emerging AI technologies and guide their responsible application

Applied AI Delivery & Machine Learning Operations
  • Lead design, development, and deployment of scalable AI/ML models into production environments
  • Implement and manage MLOps practices, including model versioning, monitoring, validation, and lifecycle management
  • Integrate model development and deployment workflows into CI/CD pipelines
  • Ensure AI solutions are reliable, performant, and maintainable within enterprise cloud environments

Federal AI Governance & Compliance
  • Align AI implementations with federal IT standards and agency governance requirements
  • Incorporate guidance from the NIST AI Risk Management Framework (AI RMF) and related cybersecurity standards.
  • Support security documentation and controls required for the Authorization to Operate (ATO) process for cloud-based systems
  • Champion ethical, transparent, and compliant use of AI and data across the program
  • Ensure data provenance, model transparency, explainability, and auditability to support trust and oversight.

Cloud & DevSecOps Integration
  • Deploy and manage AI workloads within secure AWS cloud environments
  • Integrate security controls across the AI lifecycle consistent with DevSecOps principles
  • Ensure AI components adhere to secure coding standards, access controls, and cloud security best practices
  • Collaborate with team leadership to maintain compliance and audit readiness

Team & Stakeholder Collaboration
  • Lead and mentor the team as needed
  • Manage complex AI initiatives across multidisciplinary teams
  • Communicate AI concepts, risks, and tradeoffs clearly to technical and non-technical stakeholders
  • Foster a culture of innovation, experimentation, and responsible AI adoption

Qualifications
Required Qualifications
  • Demonstrated experience serving as an AI Lead (or equivalent role) on complex enterprise or federal technology programs
  • Advanced knowledge of AI, machine learning, deep learning, and data science concepts (Master's or Ph.D. strongly preferred)
  • Proven track record designing, developing, and deploying AI/ML solutions into production environments
  • Experience implementing MLOps practices and integrating model deployment into CI/CD pipelines
  • Experience deploying and managing AI workloads within AWS cloud environments
  • Strong understanding of federal IT standards, AI governance, and ATO-related security requirements
  • Excellent written and verbal communication skills

Desired Qualifications
  • Experience supporting GSA or other federal AI modernization initiatives
  • Familiarity with multi-agent AI architectures and autonomous workflow orchestration
  • Relevant certifications in cloud, AI/ML, or security disciplines
  • Experience implementing AI solutions in highly regulated or compliance-driven environments

The target salary range for this position is $148,301-$255,653.
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Apply