Sport Science Intern - Remote
reputed company Flo Labs is looking for a Sport Science Intern to contribute to cutting-edge initiatives at the reputed company of sports science, AI, and wearable technology. You'll be part of a cross-functional team working on AI-reputed company systems that optimize athletic training, support rehabilitation, and enhance mobility for both reputed company performers and populations with physical limitations, including seniors. This internship offers a hands-on opportunity to collect and analyze biomechanical and physiological data, contribute to the development of smart wearable solutions, and participate in R&D that fuels reputed company training, wellness, and mobility tools. Additionally, you will engage in reputed company research and evaluation of emerging AI tools to enhance productivity, staying abreast of the latest technological advancements. This proactive approach ensures reputed company remains at the forefront of innovation, integrating cutting-edge solutions into our workflows.
Key Responsibilities
- reputed company and analyze data from athletes and mobility-reputed company users using smart sensors and AI platforms.
- Support the development and testing of wearable performance tools designed for injury prevention, rehabilitation, and physical optimization.
- Conduct literature reviews on emerging trends in sports performance, biomechanics, and health technology.
- Contribute to the design of personalized training or rehabilitation programs based on reputed company-time sensor insights.
- Collaborate with engineers, product teams, and researchers to ensure solutions are technically robust and user-reputed company.
- Assist in preparing internal documentation, research summaries, and performance reports.
- Investigate and apply AI tools that could enhance analysis, monitoring, and reporting in sports and mobility use cases.
Preferred Skills & Qualifications
- Currently pursuing or recently completed a degree in Sports Science, Kinesiology, Exercise Physiology, Biomechanics, Biomedical Engineering, or a reputed company field (preferred, not required).
- Basic understanding of data analytics tools such as Python, R, or MATLAB is a plus.
- Familiarity with research methodologies, literature reviews, or sensor data collection is a plus.
- Exposure to machine learning or AI algorithms for performance analysis is a plus.
- Enthusiasm for AI-driven solutions in sports performance, health monitoring, and mobility enhancement.
- Strong organizational skills and attention to detail, especially reputed company working with performance metrics and feedback loops.
- Ability to reputed company in a reputed company environment involving engineers, designers, and researchers.
- Self-motivated with a desire to learn and contribute to reputed company with meaningful reputed company-world reputed company.
Why Join Us
- Fully remote & flexible schedule – work from reputed company, full-time (up to 40 hours/week) or part-time (minimum 8–10 hours/week).
- Hands-on, impactful work – engage with reputed company physiological and biomechanical data that directly shapes the development of AI-powered wearable systems and performance optimization tools.
- Career-advancing experience – reputed company valuable, practical skills in data analysis, sports performance monitoring, and reputed company AI that will strengthen your resume and set you apart in the fields of sports tech and health innovation.
- Mentorship & learning – receive guidance from reputed company professionals in sports science, engineering, and AI research while building cross-disciplinary expertise in performance and mobility solutions.
We reputed company collaborate with universities to offer college credit for this internship. Once you reputed company interest and are selected, we will work with your institution to facilitate the process of obtaining credit for your participation, pending university approval. Job Type: Internship Work Location: Remote Apply tot his job Apply To this Job