1

Generative Ai Writer Jobs in Virginia (NOW HIRING)

... generative AI systems are accurate, reliable, safe, and aligned with mission requirements. This ... Excellent written and verbal communication skills, with the ability to present evaluation findings ...

Mid-Level AI Software Engineer

Mclean, VA · On-site

$115K - $155K/yr

Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI ... Write clean, well-documented code following industry and federal guidelines; support reproducible ...

Desire to learn and adapt to emerging technologies, particularly Generative AI * Ability to work effectively within a collaborative team environment * Strong written and verbal communication skills

Desire to learn and adapt to emerging technologies, particularly Generative AI * Ability to work effectively within a collaborative team environment * Strong written and verbal communication skills

Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational ... Comfortable writing production-grade code and architecting systems with deep knowledge of modern AI ...

Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational ... Comfortable writing production-grade code and architecting systems with deep knowledge of modern AI ...

Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational ... Comfortable writing production-grade code and architecting systems with deep knowledge of modern AI ...

Showing results 41-60

Generative Ai Writer information

What is a generative AI writer?

A Generative AI Writer creates content using artificial intelligence tools, such as language models, to generate text for various purposes, including articles, marketing copy, scripts, and more. They refine AI-generated content for accuracy, coherence, and tone, ensuring it meets project requirements. This role often involves prompt engineering, editing, and optimizing AI outputs to enhance readability and engagement. Generative AI Writers work across industries such as media, advertising, and technology to streamline content production.

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

To thrive as a Generative AI Writer, you need strong writing skills, a solid understanding of AI-generated content processes, and familiarity with natural language processing concepts. Proficiency with AI writing tools, prompt engineering platforms, and sometimes coding languages like Python is often required, and certification in content creation or marketing can be beneficial. Creativity, adaptability, and strong communication skills help distinguish top performers in this role. These capabilities are essential for producing high-quality, contextually accurate AI-driven content and collaborating effectively with both technical and non-technical teams.

How do I become a Generative Ai Writer?

To become a Generative AI Writer, develop strong skills in natural language processing, machine learning, and AI tools such as GPT models. Gaining experience with programming languages like Python and understanding data training processes are also important. Building a portfolio of AI-generated content and staying updated on AI advancements can enhance job prospects.

What are the typical daily responsibilities of a generative AI writer?

As a Generative AI Writer, your day-to-day tasks often include designing and refining prompts for AI models, editing and fact-checking AI-generated text, and collaborating with subject matter experts to ensure technical accuracy and relevance. You may also conduct research to guide content strategy and analyze output data to improve tone, style, and cohesion. This role requires regular communication with product managers, engineers, and editors to align content with business goals and user needs. The work is dynamic and fast-paced, offering the opportunity to shape new applications of AI in content creation while developing expertise in a rapidly evolving field.

What cities in Virginia are hiring for Generative Ai Writer jobs? Cities in Virginia with the most Generative Ai Writer job openings:
Infographic showing various Generative Ai Writer job openings in Virginia as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

$105K - $145K/yr

Full-time

Re-posted 25 days ago


Job description

We are looking for an AI Evaluation Scientist to design and execute evaluation processes that ensure our predictive and generative AI systems are accurate, reliable, safe, and aligned with mission requirements. This role is essential for establishing trust in AI solutions and supporting continuous improvement across the AI lifecycle. The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts, and product teams to develop evaluation metrics, build test harnesses, analyze model behavior, and support responsible deployment. 


  • Implement evaluation frameworks for AI models, including accuracy, robustness, relevance, bias, hallucination rate, and safety metrics.
  • Build and maintain automated evaluation scripts, tests, and pipelines that assess AI model outputs and detect performance drift over time.
  • Develop benchmark datasets, challenge sets, and scenario-based test cases tailored to mission and user needs.
  • Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
  • Collaborate with AI Developers, LLMOps Engineers, and Data Scientists to support iterative experimentation, model hardening, and quality improvements.
  • Contribute to the design of human-in-the-loop evaluation workflows, integrating qualitative and quantitative insight into evaluation reports.
  • Assist in mapping evaluation outcomes to responsible AI principles such as fairness, transparency, reliability, and safety.
  • Partner with AI Governance Analysts to ensure evaluation outputs support compliance, documentation, and risk assessments.
  • Stay current with emerging evaluation tools, frameworks, metrics, and research related to LLM assessment and generative AI reliability.
  • Document evaluation processes, criteria, and results for both technical and non-technical audiences.
  • You will contribute to the growth of our AI & Data Exploitation Practice! 

  • Ability to hold a position of public trust with the U.S. government.
  • Bachelor’s degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field and 5+ years of experience.
    • Master’s degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field and 3+ years of experience.
  • 2+ years of experience evaluating machine learning models, NLP systems, or generative AI models (LLMs preferred).
  • Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems.
  • Proficiency in Python and relevant libraries such as PyTorch, Hugging Face, scikit-learn, LangChain
  • Proficiency in AI evaluation frameworks such as Ragas
  • Experience analyzing structured and unstructured data, including text, documents, and embeddings.
  • Understanding of LLM behavior, prompt evaluation, retrieval pipelines, or RAG architectures.
  • Exposure to responsible AI concepts and governance-aligned evaluation criteria (e.g., fairness, transparency, reliability).
  • Strong analytical skills with the ability to interpret model weaknesses, extract insights, and recommend actionable improvements.
  • Excellent written and verbal communication skills, with the ability to present evaluation findings clearly to technical and non-technical stakeholders.
  • Experience working in agile or iterative development environments is a plus.
  • Familiarity with OWASP LLM Top 10 Risks
  • Relevant certifications (helpful but not required):
    • NIST AI RMF (AISIC)
    • INFORMS CAP
    • AWS/Azure/Google ML Certifications. 

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $105,000 to $145,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.