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Ai Human Computer Interaction Jobs in Washington, DC

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... Human-Computer Interaction, Data Science, or a related field. * 2+ years of experience evaluating ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... Human-Computer Interaction, Data Science, or a related field. * 2+ years of experience evaluating ...

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... Human-Computer Interaction, Data Science, or a related field. * 2+ years of experience evaluating ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... Human-Computer Interaction, Data Science, or a related field. * 2+ years of experience evaluating ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts ... Human-Computer Interaction, Data Science, or a related field. * 2+ years of experience evaluating ...

Showing results 21-40

Ai Human Computer Interaction information

See Washington, DC salary details

$30K

$50.1K

$68K

How much do ai human computer interaction jobs pay per year?

As of Aug 18, 2026, the average yearly pay for ai human computer interaction in Washington, DC is $50,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,500.00 and $54,400.00 per year, depending on experience, location, and employer.

What is AI human computer interaction?

AI Human-Computer Interaction (AI HCI) is a multidisciplinary field that explores how artificial intelligence can enhance the ways humans interact with computers and digital systems. This includes designing user interfaces, developing intelligent agents, and creating systems that can understand and respond to human behavior in natural and intuitive ways. The goal is to make technology more accessible, efficient, and responsive by integrating AI into the user experience. Professionals in this field often work on voice assistants, adaptive interfaces, and personalized user experiences.

What are some common challenges faced by AI human computer interaction professionals when integrating AI systems into user-facing products?

AI Human-Computer Interaction (HCI) professionals often encounter challenges such as ensuring that AI-driven interfaces are intuitive and transparent for users, addressing potential biases in AI responses, and managing users’ trust in automated systems. Balancing technical accuracy with user experience is crucial, as overly complex AI features can overwhelm users while oversimplification may limit functionality. Collaboration with designers, engineers, and user researchers is key to iteratively refining AI interfaces based on user feedback and behavior.

What are the key skills and qualifications needed to thrive as an AI human computer interaction specialist, and why are they important?

To thrive as an AI Human-Computer Interaction Specialist, you need expertise in user experience (UX) design, human-centered computing, programming, and a solid understanding of AI principles, often supported by a degree in computer science, HCI, or a related field. Familiarity with prototyping tools (like Figma or Sketch), usability testing platforms, programming languages (such as Python or JavaScript), and knowledge of AI frameworks (like TensorFlow or PyTorch) is typically required. Strong communication, empathy, and problem-solving skills help you effectively translate complex technical requirements into intuitive user experiences. These competencies are essential for designing AI systems that are both technically robust and user-friendly, ensuring successful adoption and satisfaction.

What is the difference between Ai Human Computer Interaction vs Human Factors Specialist?

AspectAi Human Computer InteractionHuman Factors Specialist
Required CredentialsDegree in HCI, Computer Science, or related fields; experience with AI and user interface designDegree in Psychology, Human Factors, or Ergonomics; certifications in usability testing
Work EnvironmentTech companies, research labs, user experience teamsHealthcare, aerospace, manufacturing, consulting firms
Industry UsageAI development, software design, interactive systemsProduct design, safety analysis, usability improvement

While both roles focus on optimizing human interaction with systems, Ai Human Computer Interaction specialists primarily work on designing AI-driven interfaces and understanding user-AI interactions. Human Factors Specialists focus on improving overall usability and safety across various industries. The roles often overlap in user research but differ in technical focus and application areas.

Is AI human computer interaction a good career?

AI Human-Computer Interaction is a growing field focused on designing systems that improve user experience with artificial intelligence. It combines skills in computer science, psychology, and design, often requiring knowledge of programming languages and user research. The career offers opportunities in technology companies, research institutions, and startups with increasing demand for expertise in user-centered AI systems.

Is AI human computer interaction in demand?

AI Human-Computer Interaction is a growing field as organizations seek to improve user experience and develop more intuitive interfaces. Demand for professionals with skills in user-centered design, machine learning, and interface development is increasing across technology sectors. This trend is driven by advancements in AI technologies and the need for more natural, accessible interactions.

What jobs can you get with a human computer interaction degree?

A degree in human computer interaction (HCI) can lead to roles such as user experience (UX) designer, usability analyst, interaction designer, or human factors specialist. These jobs involve designing and improving interfaces, conducting user research, and applying skills in psychology, design, and technology to enhance user experience.

What are popular job titles related to Ai Human Computer Interaction jobs in Washington, DC?

For Ai Human Computer Interaction jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Ai Human Computer Interaction jobs in Washington, DC look for?

The top searched job categories for Ai Human Computer Interaction jobs in Washington, DC are:

Infographic showing various Ai Human Computer Interaction job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $50,111 per year, or $24.1 per hour.

AI Evaluation Scientist

Steampunk

Mclean, VA • On-site

$105K - $145K/yr

Other

Re-posted 3 days ago


Job description

Overview
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.
Contributions
  • 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!

Qualifications
  • Ability to hold a position of public trust with the U.S. government.
  • Bachelor's or Master's degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field.
  • 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 or DeepEval.
  • Proficiency in AI traceability/observability tools based on the OpenTelemetry protocol.
  • 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.

About steampunk
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.