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Ai Research Assistant Jobs in Raleigh, NC (NOW HIRING)

Direct Supply

Staff Software Engineer

Durham, NC · On-site

Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated ... Contributions to open-source AI projects or AI research. * Experience with agentic AI frameworks ...

Directsupply

Staff Software Engineer

Durham, NC

Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated ... Contributions to open-source AI projects or AI research. * Experience with agentic AI frameworks ...

Nvidia

Senior Applied AI Engineer

Durham, NC · On-site

$101K - $138K/yr

Our team operates at the intersection of research, engineering, and product development ... assistants that improve productivity and operational efficiency. * Demonstrated end-to-end ...

micro1 AI

Senior Scientific Reviewer - Physics

Durham, NC · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

micro1 AI

Senior Scientific Reviewer - Physics

Cary, NC · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

micro1 AI

Senior Scientific Reviewer - Physics

Raleigh, NC · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

UNC-Chapel Hill

Assistant Professor

Chapel Hill, NC

... Title Assistant Professor Appointment Type Tenured/Tenure Track Vacancy ID FAC0006055 Full-time ... whose research experience integrates Machine Learning/Artificial Intelligence (ML/AI) with ...

Amphenol TCS

AI Lead

Raleigh, NC · On-site

ACS has an expansive global presence in research and development, manufacturing, and sales. We ... Lead the design and deployment of AI-enabled solutions such as knowledge assistants, engineering ...

Amphenol TCS

AI Lead

Raleigh, NC · On-site

ACS has an expansive global presence in research and development, manufacturing, and sales. We ... Lead the design and deployment of AI-enabled solutions such as knowledge assistants, engineering ...

NCSU

Assistant Professor

Raleigh, NC

Posting Information Posting Number PG194426EP Internal Recruitment No Working Title Assistant ... the eight core research areas in CCEE: Computing, AI and Systems Construction Engineering ...

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All JobsAi Research JobsAi Research Assistant JobsAi Research Assistant Jobs in Raleigh, NC

Ai Research Assistant information

See Raleigh, NC salary details

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How much do ai research assistant jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ai research assistant in Raleigh, NC is $21.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $24.76 per hour, depending on experience, location, and employer.

What is an AI Research Assistant?

An AI Research Assistant is a professional who supports artificial intelligence research projects by performing tasks such as data collection, literature reviews, running experiments, and analyzing results. They often work alongside AI researchers and engineers to help develop new algorithms, models, or applications in machine learning and related fields. The role may involve programming, using statistical tools, and staying updated on the latest advancements in AI. AI Research Assistants are commonly found in academic, corporate, or research lab environments. Their work is crucial for advancing the field and supporting innovation in AI.

What are some common challenges faced by AI Research Assistants when working on collaborative projects?

AI Research Assistants often collaborate with multidisciplinary teams, including data scientists, software engineers, and senior researchers. One common challenge is ensuring clear communication of complex technical findings to team members with varying expertise. Balancing multiple projects with competing deadlines can also be demanding, requiring strong organizational skills. Additionally, rapidly evolving research topics may necessitate frequent upskilling and adaptability to new tools and methodologies.

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

To thrive as an AI Research Assistant, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or coursework. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with research teams and interpret complex results. These skills are essential for contributing to innovative AI projects, ensuring accurate research outcomes, and supporting the advancement of artificial intelligence.

What is the difference between Ai Research Assistant vs Data Scientist?

AspectAi Research AssistantData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academic settingsBusiness, tech companies, analytics teams
Industry UsageAI research projects, academic research, R&D departmentsData analysis, predictive modeling, business insights
Common Search IntentUnderstanding AI research roles, entry-level AI research jobsData analysis careers, data-driven decision making

While both roles involve working with data and algorithms, an Ai Research Assistant primarily supports AI research projects, focusing on developing and testing AI models. A Data Scientist, on the other hand, analyzes data to generate insights and inform business decisions. The roles often overlap in skills and credentials but differ in their core focus and work environment.

How much do AI research assistants make?

AI research assistants typically earn between $50,000 and $90,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while those with advanced skills in machine learning and data analysis can earn higher salaries, often with opportunities for growth in research environments or tech companies.

How to become an AI research assistant?

To become an AI research assistant, candidates typically need a strong background in computer science, mathematics, or related fields, often holding a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks, and familiarity with research methodologies are essential. Gaining experience through internships, academic projects, or contributing to research papers can improve prospects in this role.

What are the most commonly searched types of Ai Research jobs in Raleigh, NC?

The most popular types of Ai Research jobs in Raleigh, NC are:

What are popular job titles related to Ai Research Assistant jobs in Raleigh, NC?

For Ai Research Assistant jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Ai Research Assistant jobs in Raleigh, NC look for?

The top searched job categories for Ai Research Assistant jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ai Research Assistant jobs?

Cities near Raleigh, NC with the most Ai Research Assistant job openings:

Ai Research Assistant jobs near you
Infographic showing various Ai Research Assistant job openings in Raleigh, NC as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $44,296 per year, or $21.3 per hour.

Staff Software Engineer

Direct Supply

Durham, NC • On-site

Other

Re-posted 12 days ago

Job description

Position Summary:
Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them.
In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and automation frameworks. Beyond writing code, you will play a key role in setting technical direction, mentoring engineers, and driving AI-first software strategies. You'll work on a cross-functional team dedicated to creating high-quality, scalable web-based products, mobile applications, or server-based systems. As a senior engineer, you will take ownership of complex AI-enhanced solutions, influence architectural decisions, and advocate for AI-driven development methodologies. Your leadership will help the team develop a deep understanding of business context, financial trade-offs, and the strategic impact of AI-powered solutions.
Skills Needed:
  • Applies AI and Technology - Identifies opportunities to boost efficiency and add value using AI and tech. Embraces and applies digital innovations and tech solutions to build business. Eagerly learns and integrates new technologies where they matter most.
  • Champions Innovation - Propels teams to unlock value with cutting-edge, tech-enabled innovations. Stays ahead of the tech curve, ready to embrace the next big thing. Leads with an entrepreneurial mindset and takes calculated risks.
  • Leads Through Change & Ambiguity - Navigates the unknown with confidence, steering through change and uncertainty with a clear vision and unwavering determination.
  • Ability to mentor and lead engineers in AI-first development methodologies, fostering a culture of innovation and technical excellence.
  • Technical expertise in AI integration across natural language processing, computer vision, and generative models.

What You'll Do and Impact:
  • Lead and mentor engineers in AI-first development methodologies and best practices.
  • Architect and scale AI-enhanced systems, ensuring security, scalability, and high performance.
  • Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products.
  • Drive adoption of AI-powered engineering tools (e.g., LLM-augmented IDEs, automation frameworks) to enhance development efficiency.
  • Implement observability and monitoring systems to track AI application performance and ensure proactive issue resolution.
  • Design and optimize AI-driven APIs and microservices for seamless interaction with models, applications, and databases.
  • Stay engaged with AI and engineering communities, bringing cutting-edge practices and insights back to the team.
  • Mentor engineers on technical execution, business impact, and AI-first strategic thinking.
  • Balance execution speed with innovation, rapidly testing and iterating AI-driven features.
  • Work in an agile environment, ensuring high-quality, scalable software solutions.

Experience:
  • 5-7+ years of software development experience, including 2+ years working on AI-powered applications or AI-integrated solutions.
  • Bachelor's degree in Computer Science, Computer Engineering, or a related field.
  • Hands-on experience developing and deploying AI-driven applications (provide examples using models like Hugging Face or APIs like OpenAI, Anthropic).
  • Proficiency in Microsoft environments (Visual Studio, VS Code) and cloud services (AWS, Azure) for scalable AI applications.
  • Strong understanding of AI model cost optimization, infrastructure scaling, and performance tuning.
  • Experience integrating LLMs, agentic workflows, and autonomous AI systems into production environments.
  • Proven ability to mentor engineers and lead AI-first engineering transformations.

Additional Items of Interest:
  • Contributions to open-source AI projects or AI research.
  • Experience with agentic AI frameworks (LangChain, AutoGPT).
  • Thought leadership through conferences, research, or industry engagement in AI-first development.
  • Expertise in AI-powered UI/UX development and human-computer interaction.
  • Strong proficiency in containerization (Docker, Kubernetes) and cloud-native AI deployments.
  • Diligence in unit testing, integration testing, and AI-driven problem-solving.

Job to be performed in the location listed. Generous benefit package available.
2013 to 2026 Direct Supply, Inc. All rights reserved.

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