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Affective Computing Jobs in Washington, DC (NOW HIRING)

Affective Computing information

See Washington, DC salary details

$14

$39

$76

How much do affective computing jobs pay per hour?

As of May 28, 2026, the average hourly pay for affective computing in Washington, DC is $39.10, according to ZipRecruiter salary data. Most workers in this role earn between $23.41 and $47.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Affective Computing Specialist, and why are they important?

To thrive as an Affective Computing Specialist, you need a strong foundation in computer science, machine learning, psychology, and data analysis, often supported by advanced degrees in related fields. Familiarity with programming languages (such as Python or R), emotion recognition APIs, signal processing tools, and relevant certifications is common. Exceptional problem-solving, interdisciplinary collaboration, and communication skills set top professionals apart in this role. These skills and qualities are essential for accurately interpreting human emotions through technology and developing systems that effectively respond to users’ affective states.

How does an Affective Computing professional typically collaborate with interdisciplinary teams to integrate emotion recognition technologies into products?

Affective Computing professionals often work closely with interdisciplinary teams that include software engineers, UX designers, psychologists, and data scientists. Their main responsibility is to bridge the gap between emotional intelligence algorithms and practical applications, ensuring that emotion recognition features are both accurate and user-friendly. Collaboration involves frequent meetings to discuss user needs, data collection protocols, and ethical considerations, as well as iterative testing and refinement of models within the product development cycle. This teamwork fosters innovative solutions but also requires strong communication skills and adaptability to balance technical possibilities with user experience.

What is affective computing?

Affective computing is a field within computer science and artificial intelligence that focuses on developing systems and devices capable of detecting, interpreting, and responding to human emotions. It combines knowledge from psychology, cognitive science, and engineering to enable computers to recognize emotional cues such as facial expressions, voice tone, and physiological signals. The goal of affective computing is to create more natural and effective interactions between humans and machines, improving user experience in areas like healthcare, education, and customer service.

What is the difference between Affective Computing vs Human-Computer Interaction Specialist?

AspectAffective ComputingHuman-Computer Interaction Specialist
Required CredentialsComputer science, psychology, AI certificationsComputer science, design, psychology degrees
Work EnvironmentResearch labs, tech companies, AI startupsDesign firms, tech companies, research institutions
Industry UsageAI development, emotion recognition systemsUser experience design, interface development

While both roles involve understanding human behavior and technology, Affective Computing focuses on developing systems that recognize and respond to human emotions, often using AI and sensor data. Human-Computer Interaction Specialists design and improve user interfaces to enhance usability and user experience. The two fields overlap in understanding user needs but differ in their primary goals and technical focus.

Infographic showing various Affective Computing job openings in Washington, DC as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,338 per year, or $39.1 per hour.

Affective Neuroscience Assistant Research Scientist

Umd

College Park, MD

Other

Posted 16 days ago


Job description

Job Description SummaryOrganization's Summary Statement:
The Applied Research Laboratory for Intelligence and Security (ARLIS), based at the University of Maryland College Park, was established in 2018 under the auspices of the Office of the Under Secretary of Defense for Intelligence (USDI) to be a strategic asset for research and development in social systems, autonomy and augmentation, and advanced computing. One of only 15 designated Department of Defense University Affiliated Research Centers (UARCs) in the nation and the only UARC focused on supporting the intelligence community, ARLIS conducts both unclassified and classified research spanning from basic to applied system development and works to serve the US Government as an independent and objective trusted agent.
ARLIS research is driven by a cadre of research scientists and engineers, faculty research specialists and project engineers, further supported by senior University of Maryland faculty and a consortium of university partners. Research is typically conducted through teams of e.g. social scientists, computer scientists, psychologists, linguists, cognitive neuroscientists, applied mathematicians, political scientists, policy analysts, and systems engineers.
The Assistant Research Scientist will contribute to interdisciplinary human subject research projects within ARLIS, with a focus on neurophysiological measurement techniques including functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG). This role supports ARLIS's mission to advance applied research in human performance, cognition, and emotion science in support of national security and defense. Scientists in this role will design, conduct, analyze, and publish experimental studies and contribute to broader research programs in experimental psychology and neuroscience.
Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history.
Key Responsibilities
- Design and conduct research studies involving fNIRS and EEG with human subjects
- Implement experimental protocols rooted in emotion and cognitive psychology
- Recruit, consent, and manage research participants in compliance with IRB protocols
- Analyze complex neurophysiological and behavioral datasets using statistical methods
- Collaborate with interdisciplinary teams and contribute to publications, reports, and briefings
- Apply open science practices and maintain thorough documentation of procedures
- Participate in internal reviews, sponsor briefings, and project planning meetings
- Assist in grant writing and funding proposal development as needed
Minimum Qualifications
- Doctoral degree (Ph.D. preferred) in Psychology, Neuroscience, Cognitive Science, or a related field
- At least 1 year of hands-on experience conducting fNIRS and/or EEG research with human participants
- Familiarity with experimental design, data collection, and analysis in emotion or cognitive research
- Experience with human subjects research protocols and compliance
Knowledge, Skills, and Abilities
- Expertise in EEG and/or fNIRS methodology
- Strong foundation in experimental psychology and human subjects research methods
- Familiarity with emotion research, especially in applied or experimental contexts
- Ability to work independently and as part of a cross-functional team
- Statistical analysis skills, including multilevel modeling (MLM), regression, and/or machine learning
- Proficiency in scientific programming (R and/or Python preferred)
- Strong written and oral communication skills for technical and non-technical audiences
- Commitment to ethical research, continuous learning, and team collaboration
Physical Demands:
- Primarily sedentary work in a professional office or lab environment
- Regular use of computers and laboratory equipment
- In-person attendance at research study sessions and participant training required
- Occasional travel for conferences or site coordination
Preferences:
- Experience with multivariate statistical analysis
- Proficiency in R and/or Python for data analysis and visualization
- Experience analyzing emotion-related or affective neuroscience data
- Demonstrated interest in applying research to defense, intelligence, or operational contexts
-Active TS/SCI clearance
Licenses/ Certifications:
- No licenses required
- IRB and human subjects research training (e.g., CITI certification) preferredMinimum Qualifications

This rank is generally parallel to Assistant Professor. Appointees shall have demonstrated superior scientific research ability. Appointees should be qualified and competent to direct the work of others (such as technicians, graduate students, other research personnel). An earned doctoral degree will be a normal minimum requirement for appointment at this rank.

Additional Job Details

Required Application Materials: Cover Letter, Resume, List of References

Best Consideration Date: N/A

Posting Close Date: N/A

Open Until Filled: Yes

Salary Range $58,656 - $252,289
DepartmentVPR-Applied Research Lab for Intelligence & SecurityWorker Sub-Type Faculty RegularSalary Range$58,656 - $252,289Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regardingdisclosablebackground checkinformation. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.

Title IX Non-Discrimination NoticeResources
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