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Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Responsibilities Peraton is seeking motivated Generative AI Engineering Interns (Graduate) supporting Internal Research and Development (IRAD) initiatives focused on AI/ML-driven platforms for ...

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How much do ai graduate jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai graduate in the United States is $92,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $138,000.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can an AI graduate expect in their first role?

As an AI Graduate, you can expect to work on a variety of entry-level projects such as building and testing machine learning models, preparing and analyzing datasets, and contributing to research or product development initiatives. You may also assist senior engineers with automation tasks, algorithm optimization, and developing code to support ongoing projects. Collaboration is often a significant component, as you'll typically work alongside software engineers, data scientists, and product managers. These experiences help you build a strong foundation and develop the practical skills needed for more advanced roles in the AI field.

What are the key skills and qualifications needed to thrive in the AI graduate position, and why are they important?

To thrive as an AI Graduate, you need a solid understanding of machine learning, programming (especially Python), and data analysis, typically gained through a degree in computer science, data science, or a related field. Familiarity with tools like TensorFlow, PyTorch, and experience using cloud platforms and version control systems is highly advantageous. Strong analytical thinking, problem-solving abilities, and effective communication skills are key soft skills for excelling in this role. These abilities are essential because they enable you to develop, deploy, and explain AI models in complex, real-world projects as part of a multidisciplinary team.

What is an AI graduate?

An AI Graduate job is an entry-level position designed for recent graduates with a background in artificial intelligence, machine learning, or data science. These roles typically involve working on real-world AI projects, developing machine learning models, and analyzing data under the guidance of senior professionals. AI Graduates may be involved in research, software development, and optimization of AI systems. The position helps new professionals gain hands-on experience and transition into specialized AI roles.

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What cities are hiring for Ai Graduate jobs? Cities with the most Ai Graduate job openings:
What are the most commonly searched types of Ai Graduate jobs? The most popular types of Ai Graduate jobs are:
What states have the most Ai Graduate jobs? States with the most job openings for Ai Graduate jobs include:
Infographic showing various Ai Graduate job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $92,049 per year, or $44.3 per hour.

Data Scientist - NLP / Generative AI

AIToolboard

Arlington, VA โ€ข On-site

$150 - $190/hr

Other

Medical, Dental, Vision, Retirement

Posted 3 days ago

New


Job description

Jobs / Data Scientist - NLP / Generative AI

Data Scientist - NLP / Generative AI

Full-time

About the Role

Data Scientist โ€“ NLP / Generative AILocation: Hybrid โ€“ Arlington, VirginiaEmployment Type: Full-timeBizFirst is assisting our client with the hiring of a Data Scientist specializing in natural language processing and generative AI to help the organization move from early experimentation into production-ready AI capabilities. This is a hands-on research and engineering role where you will own the design and delivery of NLP and GenAI solutions applied directly to the clientโ€™s most complex internal workflows.Our client is a mid-market professional services organization that is actively rethinking how it designs and executes its core business operations through artificial intelligence and automation. The company is building a dedicated AI capability to embed machine learning and generative AI into its most critical internal workflows โ€“ from decision support and process automation to real-time analytics and intelligent document processing.What will you doThe ideal candidate brings 5โ€“8 years of applied data science experience with a deep specialization in NLP and a working command of modern generative AI techniques. You have built production NLP systems, worked with transformer-based architectures, and have direct experience with large language models โ€“ including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG). You are comfortable moving between research and engineering as the work demands.

Responsibilities
  • Design and build NLP and generative AI solutions applied to internal business processes, including document understanding, classification, summarization, and conversational AI.
  • Develop, fine-tune, and evaluate large language models and transformer-based architectures for domain-specific applications.
  • Build and iterate on retrieval-augmented generation (RAG) systems, embedding pipelines, and vector search infrastructure.
  • Work closely with business and operations stakeholders to scope problems, define evaluation criteria, and validate model outputs against real-world requirements.
  • Analyze and interpret model behavior, identify failure modes, and develop mitigation strategies to ensure reliable, responsible outputs.
  • Collaborate with ML engineers and platform teams to move experiments into production pipelines.
  • Document experimental methodology, data lineage, and model evaluations to support reproducibility and knowledge sharing.
  • Stay current on developments in NLP research and GenAI tooling, bringing relevant advances into the teamโ€™s work quickly.
Requirements
  • US Citizen or Permanent Resident authorized to work in the United States.
  • Experience: 5โ€“8 years of applied data science experience with a strong focus on natural language processing and text-based systems.
  • NLP & GenAI: Hands-on experience with transformer architectures (BERT, GPT, T5, or similar), fine-tuning workflows, and production deployment of language models.
  • RAG & Embeddings: Direct experience building retrieval-augmented generation pipelines, vector databases (Pinecone, Weaviate, FAISS, or equivalent), and semantic search systems.
  • Programming: Strong Python skills; proficiency with HuggingFace Transformers, LangChain, or similar GenAI tooling.
  • Evaluation: Experience designing rigorous evaluation frameworks for generative models, including human evaluation, LLM-as-judge approaches, and automated benchmarking.
  • Preferred: Experience applying NLP in a professional services, legal, finance, or consulting domain.
  • Familiarity with responsible AI practices, including bias assessment, output auditing, and hallucination mitigation.
  • Background in information extraction, named entity recognition (NER), or document intelligence.
  • Experience with cloud-based GenAI services (OpenAI API, Anthropic API, AWS Bedrock, Azure OpenAI, or GCP Vertex AI).
  • Graduate degree (MS or PhD) in Computer Science, Computational Linguistics, Statistics, or a related field.
Benefits
  • Family Health Care (54% cost covered for the entire family)
  • Family Dental (54% cost covered for the entire family)
  • Family Vision (54% cost covered for the entire family)
  • Flexible Spending Account
  • Performance bonuses tied to project and delivery milestones
  • Lifetime Event Bonuses (e.g., new child, marriage)
  • Profit-sharing arrangement for any work brought into the company
  • Unlimited Leave with Approval
  • 401k โ€“ 100% employer match on first 4% invested
  • $1,500 annual training and conference budget

Job Type: Full-time, Permanent Position

Work Authorization:US Citizen or Permanent Resident; no active security clearance required.

Schedule:Monday to Friday

Work Location:Hybrid โ€“ Arlington, Virginia

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