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Human Computer Interaction Research Assistant Jobs in Washington, DC

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

Stay current with emerging evaluation tools, frameworks, metrics, and research related to LLM ... Human-Computer Interaction, Data Science, or a related field and 5+ years of experience. * Master ...

... Human-Computer Interaction, Psychology, Computer Science, or a related field (or equivalent ... X research, analysis, and synthesis (not UI-only).  Strong proficiency with design and ...

The User Experience Designer is proficient at user research, interaction design and visual design ... in Human-Computer Interaction, Human Factors in Information Design, Human Centered Design ...

The User Experience Designer is proficient at user research, interaction design and visual design ... in Human-Computer Interaction, Human Factors in Information Design, Human Centered Design ...

Research Assistant

Fairfax, VA · On-site

$19 - $26.25/hr

... Research Assistant for our Fairfax office. Under direct supervision, initiates and/or maintains ... May enter some pertinent data in computer system in a timely manner as outlined by department ...

Research Assistant

Fairfax, VA

$19 - $26.25/hr

... Research Assistant for our Fairfax office. Under direct supervision, initiates and/or maintains ... May enter some pertinent data in computer system in a timely manner as outlined by department ...

Research Assistant

Washington, DC · On-site

$21.75 - $30/hr

Under the supervision of the Principal Investigator and Project Manager, the Research Assistant I ... Must successfully complete training in human subjects research certification. * Ability to work ...

PRINCIPAL ACCOUNTABILITIES: * Assist in the design and execution of research experiments, surveys ... Computer Science, or related discipline) * Minimum GPA of 3.0 (or institutional equivalent ...

Showing results 21-40

Human Computer Interaction Research Assistant information

See Washington, DC salary details

$30K

$50.1K

$68K

How much do human computer interaction research assistant jobs pay per year?

As of Aug 19, 2026, the average yearly pay for human computer interaction research assistant 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 does a human computer interaction research assistant do?

A Human Computer Interaction (HCI) Research Assistant supports research projects focused on the design, evaluation, and implementation of user interfaces and interactive systems. Their responsibilities often include conducting user studies, collecting and analyzing data, prototyping interfaces, and reviewing relevant literature. They work closely with research teams to understand how humans interact with computers and to improve the usability and accessibility of technology. The role may also involve preparing reports and presentations to communicate research findings.

What are some typical daily tasks for a human computer interaction research assistant?

As a Human Computer Interaction (HCI) Research Assistant, your daily tasks often include designing and running user studies, collecting and analyzing data, reviewing relevant academic literature, and assisting in prototype development. You may also help prepare research materials, such as consent forms and questionnaires, and collaborate closely with senior researchers and designers to brainstorm improvements to user interfaces. Regular meetings with your team to discuss findings and next steps are also common, fostering a collaborative and interdisciplinary work environment.

What are the key skills and qualifications needed to thrive as a human computer interaction research assistant, and why are they important?

A Human Computer Interaction Research Assistant thrives with a background in psychology, computer science, or design, along with skills in user research methods and data analysis. Familiarity with tools such as SPSS, Qualtrics, prototyping software, and usability testing platforms is beneficial, and some roles may require coursework or certifications in human-centered design. Outstanding communication, attention to detail, and problem-solving abilities help researchers collaborate effectively and interpret user feedback. These skills ensure research is rigorous, user-centered, and actionable, directly impacting the development of intuitive and effective technologies.

What are the most commonly searched types of Human Computer Interaction Research jobs in Washington, DC?

The most popular types of Human Computer Interaction Research jobs in Washington, DC are:

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

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

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

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

Infographic showing various Human Computer Interaction Research Assistant job openings in Washington, DC as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% 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 4 days ago


Job description

Overview
We are looking for an AI Evaluation Scientistto 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 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.

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.