About HTX Labs

Since 2017, HTX Labs has been on a mission to accelerate the future of learning, employing immersive software training solutions and content development services for the Department of Defense to elevate the level of proficiency and preparedness of today's warfighter.

HTX Labs developed the EMPACT® Immersive Learning Platform to address a growing need to modernize training, improve safety, maximize operational efficiency, and build resilience and readiness across the defense industry.

HTX Labs is dedicated to driving learning innovation, providing the necessary digital infrastructure to empower users to easily create, deploy, measure, and sustain mission-specific, immersive training programs anytime, anywhere, on any device, with anyone, at scale.

Description

This role operates at the intersection of UX research, AI workflows and evaluations, data systems architecture, immersive learning, analytics, and adaptive intelligence. You will help design the systems that allow EMPACT to continuously learn from user behavior, operational workflows, training outcomes, and AI-assisted interactions.

You will work across immersive simulations, XR platforms, analytics pipelines, telemetry systems, AI-enabled workflows, and customer-driven operational environments to transform qualitative and quantitative user signal into structured intelligence that informs product evolution.

This role is ideal for someone who thrives in fast-moving, evolving environments and is energized by combining systems thinking, human-centered design, AI-assisted research, analytics, and technical execution to solve complex problems.

Who you are

• You bring a strong foundation in data analysis, AI/ML, and data architecture, with the ability to design scalable data systems that support intelligent immersive applications.

• You are skilled at synthesizing qualitative and quantitative data into actionable recommendations and AI-ready datasets that inform product, UX, learning design, and personalization decisions.

• You are proficient in studying user behaviors, needs, motivations, and performance patterns, with a passion for using AI-assisted research and advanced analytics to enhance user experiences.

• You have proficiency in studying user interactions through usability testing, surveys, product analytics, telemetry, xAPI/LRS data, AI-assisted analysis, and other mixed-method research approaches.

• You are passionate about optimizing learning in virtual and physical environments by combining user-centered research, learning science, data science, AI-driven insights, and responsible experimentation.

• You have experience working with XR products and understand the intersection of user experience, AI, data analytics, spatial computing, learning platforms, and the customer journey.

• You excel at collaborating with Product, Engineering, Design, Learning, and Data teams to translate research, analytics, and AI findings into solutions that align with product goals.

• You stay current with trends in UX research, data analytics, applied AI, generative AI, machine learning, human-AI interaction, responsible AI, XR, and spatial computing.

• You possess excellent communication skills, enabling you to present complex data, AI outputs, research findings, model implications, and product recommendations in a clear and engaging manner.

• You are a problem-solver who combines cutting-edge AI innovation with a pragmatic, human-centered approach to drive adoption, trust, usability, and ease of use.

Responsibilities

• Design, build, and maintain scalable data architectures that support immersive training XR applications, AI-enabled analytics, adaptive learning, and model-ready data pipelines.

• Analyze large, multimodal datasets, including telemetry, user behavior, learning outcomes, xAPI/LRS data, qualitative research, and system performance data, to uncover trends, behaviors, and insights that inform product decisions and strategy.

• Apply machine learning, predictive analytics, clustering, classification, natural language processing, and generative AI techniques to identify user patterns, forecast outcomes, and optimize learning experiences.

• Collaborate with Product, Engineering, Design, and Learning teams to translate research, analytics, and AI findings into actionable recommendations, product requirements, experiments, and measurable improvements.

• Develop dashboards, reports, prototypes, and visualization tools that make user behavior, learning effectiveness, AI model performance, and system performance clear to technical and non-technical stakeholders.

• Integrate, manage, and evaluate analytics systems that monitor XR application performance, learner activity, user experience signals, and AI-enabled product features in real time.

• Partner with stakeholders to define KPIs, success metrics, research questions, evaluation plans, and AI/product measurement frameworks.

• Prototype and evaluate AI-assisted research workflows, including automated data coding, insight generation, survey analysis, usability synthesis, persona development, journey analysis, and research repository enrichment.

• Research and evaluate emerging AI, data, analytics, and XR technologies to improve product intelligence, analytics capabilities, personalization, system efficiency, and user outcomes.

• Support responsible AI practices by helping define data governance, model evaluation criteria, privacy safeguards, bias and risk considerations, explainability needs, and security compliance across data and AI systems.

• Foster a culture of data-driven and AI-informed decision-making, experimentation, learning measurement, and continuous product improvement.

 Skills

• Strong experience with data analysis tools, visualization platforms, analytics workflows, and AI-assisted research methods.

• Proficiency in database design, data modeling, management, querying, and preparation of high-quality datasets for analytics and machine learning.

• Knowledge of cloud-based data architecture, AI/ML infrastructure concepts, data pipelines, APIs, and integration patterns.

• Familiarity with analytics frameworks and tools, including learning analytics, product analytics, telemetry, LRS, LMS, SCORM, xAPI, and experimentation platforms.

• Experience with machine learning and predictive analytics techniques, including supervised and unsupervised learning, NLP, model evaluation, and applied generative AI use cases.

• Ability to use AI tools responsibly to accelerate research synthesis, insight discovery, data exploration, documentation, prototyping, and stakeholder communication.

• Understanding of responsible AI principles, including data privacy, security, bias mitigation, explainability, human-in-the-loop workflows, and evaluation of AI-generated outputs.

• Experience with data governance, privacy, and security compliance in environments where training, operational, or customer data must be handled carefully.

• Strong communication and presentation skills to translate complex data, research, model behavior, and AI-enabled recommendations into actionable insights.

• The ability to work collaboratively in a multidisciplinary team and adapt to a fast-paced environment.

• A passion for learning new tools and technologies across AI, data science, XR, spatial computing, learning analytics, and immersive training.

• An understanding of human-centered design principles, human-AI interaction, and their application in XR and adaptive learning experiences.

Requirements

• 5+ years of experience in data analytics, data architecture, UX research, AI/ML analytics, learning analytics, or related fields.

• 3+ years of experience working with LRS, LMS, SCORM, xAPI products, learning data ecosystems, or training analytics platforms.

• Hands-on experience using AI/ML, predictive analytics, generative AI tools, or AI-assisted research workflows to improve user insights, product analytics, or learning outcomes.

• Bachelor’s degree in Computer Science, Data Science, Human-Computer Interaction, Cognitive Science, Information Systems, Learning Science, or a related field.

• Experience with agile development processes and cross-functional product teams.

• Must be authorized to work in the U.S.

Preferred Qualifications

• Experience applying AI, machine learning, or generative AI in XR, simulation, training, education technology, defense, or enterprise learning environments.

• Experience designing measurement frameworks for adaptive learning, intelligent tutoring, simulation-based training, or performance analytics.

• Familiarity with Python, SQL, notebooks, BI tools, data warehouses, vector search, LLM workflows, or AI prototyping tools.

• Experience evaluating AI-enabled features through usability testing, experimentation, model-output review, human-in-the-loop validation, or mixed-method research.

Please note that hourly rate will be determined by the employer based on candidate's experience.

Work Location: Remote

Reporting Structure: Reports directly to the VP of Innovation.

Employment status: This is a contract-to-hire role.

We’re constantly working towards making HTX Labs the best place to work, for everyone. We believe deeply that bringing together diversity of thoughts, perspectives and expression is key for building the best product for our equally diverse community. We celebrate uniqueness and whatever makes you, you and encourage everyone who wants to help us transform the way the world learns, to join us on our journey. We value all types of experiences. If you don’t think you quite meet every qualification, we’d still love to hear from you. We are interested in qualified candidates who are eligible to work in the United States. We are not able to sponsor work visas at this time.

htx.recruiting@htxlabs.com