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Ai Research Assistant Jobs in Delaware (NOW HIRING)

University of Delaware

R&D Test Engineer

Newark, DE · On-site

... improvements. * Assist with procurement, installation, and commissioning of new laboratory ... utilize AI coding tools effectively. * Strong understanding of laboratory safety practices ...

University of Delaware

R&D Test Engineer

Newark, DE · On-site

... improvements. * Assist with procurement, installation, and commissioning of new laboratory ... utilize AI coding tools effectively. * Strong understanding of laboratory safety practices ...

Athenago

AI Engineering Intern

Wilmington, DE · On-site

Responsibilities * Assist in developing and fine-tuning large language models (LLMs) to better ... Awareness of the latest trends and research in AI/ML (new model architectures, papers, etc ...

CSC Corptax

Senior Tax Research Specialist

Dover, DE · Remote

$69K - $69K/yr

Eventually lead or assist other leaders on team projects, as needed * Provide support for the ... Experience leveraging AI-driven tools (e.g., generative AI, tax research platforms with AI ...

The Chemours Company

Administrative Assistant

Newark, DE · On-site

$17.50 - $23.75/hr

In key sectors such as clean energy, advanced electronics, high-performance computing and AI ... Submit and track maintenance work requests for research teams. * Maintain office and stockroom ...

The Chemours Company

Administrative Assistant

Newark, DE · On-site

$17.50 - $23.75/hr

In key sectors such as clean energy, advanced electronics, high-performance computing and AI ... Submit and track maintenance work requests for research teams. * Maintain office and stockroom ...

JPMorgan Chase & Co.

$170 - $210/hr

Join the Artificial Intelligence (AI) Journey Transformation & Partnerships team to accelerate and ... Perform competitor/industry research leveraging both public and non-public sources * Develop ...

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How much do ai research assistant jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai research assistant in Delaware is $21.93, 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.

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 Delaware?

The most popular types of Ai Research jobs in Delaware are:

What job categories do people searching Ai Research Assistant jobs in Delaware look for?

The top searched job categories for Ai Research Assistant jobs in Delaware are:

What cities in Delaware are hiring for Ai Research Assistant jobs?

Cities in Delaware with the most Ai Research Assistant job openings:

Ai Research Assistant jobs near you
Infographic showing various Ai Research Assistant job openings in Delaware as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $45,610 per year, or $21.9 per hour.

Research Software Engineer, UD Institute for Data Science

University of Delaware

Newark, DE • On-site

$200K/yr

Full-time

Posted 4 days ago

University Of Delaware rating

5.7

Company rating: 5.7 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

593rd of 630 rated colleges and universities

Job description

Research Software Engineer, UD Institute for Data Science

Apply now Job no: 503750
College / VP Area: Research Office
Work type: Staff
Location: Newark, DE
Categories: Research & Laboratory, Full Time

Pay Grade: 31S
 
Context of Job:
 
The University of Delaware (UD) invites applications for a Research Software Engineer (RSE) to join the NSF AI Institute for Human-AI Cooperation (HAIC). The HAIC Institute (https://haicinstitute.org/) is a 5-year (2026-2031), $21.5 million, multi-institutional research initiative supported by the National Science Foundation. HAIC brings together researchers and partners to develop trustworthy AI that strengthens human expertise, shapes the future of rehabilitation and health care, and cultivates the next generation of leaders in AI. The RSE will work with HAIC researchers (from UD, University of Florida, University of Pennsylvania,Princeton University and other partner institutes) to build, validate, and maintain robust and scalable open-source software tools and cyberinfrastructure that support institute-wide research in artificial intelligence (including reinforcement learning and large vision-language models), biophysical digital twins, multimodal data processing, personalized rehabilitation, and human-AI symbiosis. The RSE will leverage high-performance computing (HPC) systems including University of Florida's HiPerGator NVIDIA SuperPod and NSF funded NAIRR resources, and work extensively with research computing professionals and NVIDIA systems engineers. Software needs include supporting reproducible research, interfacing with real-time systems and databases, and translation of AI models for a variety of deployment settings. The RSE will join a growing cohort of RSE at UD, with coordinated professional development opportunities.
This position is supported by the U.S. National Science Foundation through U.S. National Science Foundation under Cooperative Agreement No. 2433450. Continuation of this position is contingent upon performance and continued availability of these funds. Notice of non-renewal is not required.
 
Major Responsibilities
  • Participate as a member of a highly technical, research driven team, forging close working relationships with HAIC researchers (faculty, post-doctoral, students, and staff) across multidisciplinary working groups.
  • Provide support to HAIC researchers to use research computing hardware and software for workflows involving AI, data science, machine learning, and physics simulation, especially machine learning frameworks with interfaces for monitoring training, robust checkpointing, and validation suites.
     
  • Assist researchers to develop, deploy, scale, and optimize workflows that effectively and efficiently use these high-performance computing resources.
  • Utilize industry standard research software practices such as establish software version control, pipelines, institute standard testing frameworks, maintain documentation, manage public GitHub repositories to support research dissemination, applying best practices when authoring and assisting in the pursuit of modular and maintainable software codebases that accelerate scientific discovery and societal impact.
  • Help to identify appropriate hardware, software, and cyberinfrastructure platforms for different stages of research and development, including data collection, storage, and integration, along with computational-focused education and workforce development activities, assist in procurement, set-up, testing, and documentation.
  • Enable the translation of software and models toward deployment in various settings and platforms.
  • Serve as a computational liaison to research computing and IT groups at UD and partner institutions.
  • Educate, train, and advise both novice and experienced researchers regarding software engineering, shared high performance computing environments, associated software and services-adapting to individual needs and experiences-and assist in the development of workshops and other training resources.
  • Work proactively to broaden engagement between HAIC and the research cyberinfrastructure user community.
  • Perform other related duties as assigned.
  • Maintain knowledge of applicable laws and developments in state-of-the-art technology, equipment, and systems to support the institute projects.
Possible Project-Specific Technical Responsibilities:
  • Biophysical Modeling & Omniverse Integration: Assist in the development and translation of biophysical, kinematic, and musculoskeletal models (e.g., OpenSim, MuJoCo) into the NVIDIA Omniverse environment to support dynamic digital twin simulations.
  • Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image processing.
  • Integration of Large Language Models with Knowledge Retrieval: Assist in the use and integration of APIs, open-weight models, etc. combined with large graph databases.
Qualifications
  • Bachelor's degree in computer science, electrical and computer engineering, data science, statistics, biomedical engineering, mechanical engineering, operations research, robotics, computational neuroscience, applied mathematics, physics, or a closely-related discipline and five years of related work experience. Master's or PhD is preferred.
  • Experience with the Linux operating system and utilizing the command line interface.
    Demonstrated ability and experience with scripting and programming languages (Bash, Python).
  • Hands-on experience with shared high-performance computing environments and workload scheduling tools (e.g., SLURM).
  • Extensive experience with version control and git, with contributions to open source repositories.
  • Ability to work effectively with researchers (both computational and non-computational) within multi-institutional teams to define, clarify, and execute requirements and goals.
  • Excellent oral and written communication skills.
  • Ability to manage multiple projects, keeping oriented to the goals and tracking details, efficiently communicating on issues and outcomes, and executing independently and in collaboration.
  • Effective organizational, interpersonal, and customer-service skills.
  • Aptitude for learning quickly and functioning in a dynamic technological environment.

Preferred Qualifications:

  • Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed frameworks for machine learning (e.g. PyTorch Distributed).
  • Prior software engineering experience within AI, scientific computing, or robotics domains in industry, academia, government, or non-profit organizations, which involved architecting and managing codebases for large-scale technical projects
  • Prior contribution to computationally-focused research publications and/or software, or contribution to creating developer documentation, API guides, and descriptions of software use cases or other write-ups.
  • Experience with modern collaborative productivity environments (e.g., Slack, Trello, etc.).
  • Experience utilizing AI-assisted programming environments (e.g., GitHub Copilot, Codex, Cursor, or LLM-driven coding tools) to streamline software development, unit testing, and refactoring.
  • Course work or experience in one or more areas: AI, data science, machine learning, computer vision, signal processing, knowledge representation (e.g., knowledge graphs), information retrieval, statistics, biophysical modeling, robotics, or neuroengineering.
  • Experience developing within NVIDIA Omniverse, Isaac Sim, Isaac Gym, or custom CUDA kernels.

Notice of Non-Discrimination and Equal Opportunity
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VI and VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.

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