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Remote Project Controls Assistant Jobs in Charleston, SC

DataAnnotation

M&A Associate - AI Trainer

Charleston, SC · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ...

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All JobsProject Controls JobsRemote Project Controls Assistant JobsRemote Project Controls Assistant Jobs in Charleston, SC

Remote Project Controls Assistant information

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$12

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How much do remote project controls assistant jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote project controls assistant in Charleston, SC is $20.16, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $22.74 per hour, depending on experience, location, and employer.

What is a remote project controls assistant?

Remote Project Controls Assistants are professionals who support project managers and teams by tracking project costs, schedules, and performance metrics from a remote location. They help ensure that projects stay on budget and on schedule by maintaining accurate records, preparing reports, and coordinating communication between team members. Their work often involves using project management software, handling data analysis, and assisting with resource allocation, all while working off-site. This role is vital in organizations that manage multiple projects and need efficient oversight without requiring staff to be physically present.

What are some common challenges faced by a remote project controls assistant, and how can they be managed effectively?

A Remote Project Controls Assistant often faces challenges such as coordinating with distributed teams across different time zones and ensuring timely communication of project updates. Managing large volumes of data and maintaining accurate project documentation can also be demanding when working remotely. To overcome these challenges, it's important to stay organized using digital project management tools, establish regular check-ins with team members, and proactively clarify expectations with supervisors. Building strong virtual communication skills and being adaptable to changing project priorities will also help you excel in this role.

What are the key skills and qualifications needed to thrive as a remote project controls assistant, and why are they important?

To excel as a Remote Project Controls Assistant, you need strong organizational skills, attention to detail, and familiarity with project management principles, often supported by a degree in business, engineering, or a related field. Proficiency with project management software (such as MS Project or Primavera), spreadsheets, and reporting tools is typically required. Excellent communication, time management, and problem-solving skills help you collaborate effectively with remote teams and adapt to changing project demands. These abilities ensure accurate tracking, reporting, and support of project objectives, which are critical for timely and successful project delivery.

What is the difference between Remote Project Controls Assistant vs Remote Project Scheduler?

AspectRemote Project Controls AssistantRemote Project Scheduler
CertificationsPMI-ACP, PMP, or similarCPM, Primavera P6, MS Project
Work EnvironmentOffice or remote, supporting project controls teamsOffice or remote, focusing on scheduling tasks
Industry UsageConstruction, engineering, infrastructureConstruction, engineering, infrastructure
Primary ResponsibilitiesData collection, reporting, supporting cost and schedule controlDeveloping, maintaining project schedules and timelines

The Remote Project Controls Assistant and Remote Project Scheduler roles both support project management in construction and engineering industries. While the Assistant focuses on data collection, reporting, and supporting project controls, the Scheduler specializes in creating and maintaining project schedules. Both roles often require similar certifications and work environments, but their core responsibilities differ, with the Assistant providing support and the Scheduler managing timelines directly.

What are popular job titles related to Remote Project Controls Assistant jobs in Charleston, SC? For Remote Project Controls Assistant jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Remote Project Controls Assistant jobs in Charleston, SC look for? The top searched job categories for Remote Project Controls Assistant jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Remote Project Controls Assistant jobs? Cities near Charleston, SC with the most Remote Project Controls Assistant job openings:
Remote Project Controls Assistant jobs near you
Infographic showing various Remote Project Controls Assistant job openings in Charleston, SC as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $41,938 per year, or $20.2 per hour.

Senior AI Solutions Architect (Remote Opportunity)

VetsEZ

Charleston, SC • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

VetsEZ is seeking a Senior AI Solutions Architect to lead the design and implementation of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA), with responsibility for AI architecture across the JLV contract. The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Search and Summarization initiative, delivering a secure, governed AI-assisted search and summarization MVP for development, clinical evaluation, and designated-user testing in an approved lower environment utilizing Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) within a secure AWS cloud environment.

Working closely with Government stakeholders, clinical subject matter experts, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will establish the overall AI solution architecture while ensuring scalability, security, interoperability, Responsible AI, and compliance with Federal cybersecurity and AI governance requirements.

Responsibilities:

  • Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Design scalable, secure, and maintainable AI architectures supporting enterprise healthcare applications.
  • Define solution architecture, data flows, system interfaces, AI orchestration, and integration patterns.
  • Evaluate AI technologies, services, and frameworks to support current and future project needs.
  • Ensure architecture supports approved future phases without expanding the authorized MVP scope.
  • Design AI solutions leveraging Amazon Bedrock and AWS cloud services.
  • Architect secure AI pipelines supporting approved document access and processing, retrieval, vector search, prompt orchestration, and AI-assisted summarization.
  • Define strategies for model selection, prompt management, retrieval optimization, and AI performance tuning.
  • Define monitoring and evaluation strategies to detect model, prompt, retrieval, and data drift and address degradation in accuracy, safety, or clinical relevance.
  • Optimize AI architectures for scalability, operational cost, reliability, and response time.
  • Collaborate with DevSecOps teams to support deployment automation and operational readiness.
  • Design integration between AI services and existing enterprise healthcare applications.
  • Define secure interfaces utilizing REST APIs and modern integration patterns.
  • Ensure solutions align with healthcare interoperability standards including FHIR, HL7, and CCD.
  • Collaborate with application development teams to integrate AI capabilities into clinician workflows.
  • Promote consistent architecture patterns and engineering best practices across JLV development teams.
  • Design AI solutions that comply with Federal cybersecurity, privacy, and Responsible AI requirements.
  • Incorporate Human-in-the-Loop (HITL), source traceability, approved data boundaries, retention and purge controls, explainability, auditability, and governance principles into solution architecture.
  • Support Authority to Operate (ATO), AI governance, Security Impact Analysis (SIA), and technology approval activities.
  • Ensure secure handling of Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Collaborate with cybersecurity teams to implement secure AI architectures and operational controls.
  • Serve as the technical leader for AI architecture across the JLV contract.
  • Mentor software engineers and provide architectural guidance throughout the software development lifecycle.
  • Participate in architecture reviews, design sessions, sprint planning, backlog refinement, and technical estimation.
  • Produce architecture documentation, system design artifacts, interface specifications, and implementation guidance.
  • Present technical approaches and architectural recommendations to Government leadership and stakeholders.

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.
  • 10+ years designing enterprise software solutions.
  • 5+ years designing cloud-native architectures utilizing AWS or comparable cloud platforms.
  • Demonstrated experience architecting Artificial Intelligence, Machine Learning, or Generative AI solutions.
  • Experience implementing enterprise applications utilizing Amazon Bedrock or similar AI platforms.
  • Experience leading technical architecture across multidisciplinary engineering teams.
  • Amazon Bedrock and AWS cloud services
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering, source-grounded AI evaluation, and hallucination testing
  • Vector databases, embeddings, and semantic search
  • REST APIs and enterprise integration
  • Cloud architecture and distributed systems
  • DevSecOps and CI/CD
  • Healthcare interoperability (FHIR, HL7, CCD)

Additional Qualifications:

  • Strong understanding of enterprise architecture principles and cloud-native application design.
  • Experience balancing AI performance, scalability, security, explainability, and operational cost.
  • Excellent analytical, architectural, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts to diverse audiences.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience designing AI-enabled clinical workflow, search, summarization, or clinician-support solutions requiring human validation.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP, including applicable High-Impact AI requirements.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Solutions Architect, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

Benefits:

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME

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