Scientific Communications Intern

You are seeking a motivated and creative Scientific Communication Intern to join the dynamic team at sftwtrs.ai, a leading AI/ML research laboratory. This internship offers a unique opportunity to bridge the gap between complex scientific concepts and public understanding. Key Responsibilities: - Create engaging content for various digital platforms to communicate research findings and technological innovations - Develop and maintain social media presence across multiple platforms - Collaborate with researchers to translate technical concepts into accessible content - Assist in creating visual content and infographics to explain complex AI/ML concepts - Support the development of presentation materials and research summaries Qualifications Required: - Currently pursuing a degree in Communications, Journalism, Scientific Writing, or a related field - Strong written and verbal communication skills - Proficiency in social media management tools - Basic understanding of AI/ML concepts - Ability to work independently and as part of a team Preferred qualifications include: - Experience with graphic design tools (Adobe Creative Suite, Canva, etc.) - Knowledge of data visualization techniques - Previous experience in science communication or technical writing - Understanding of digital marketing principles sftwtrs.ai offers hands-on experience in a cutting-edge AI research environment, mentorship from experienced professionals, an opportunity to build a professional portfolio, and flexible working hours. sftwtrs.ai is an Equal Opportunity Employer, actively encouraging applications from candidates of all genders, backgrounds, and experiences. The commitment to diversity and inclusion is reflected in hiring practices and workplace culture. Duration: 3-6 months Location: On-site Compensation: Competitive stipend provided To apply, please submit your resume, portfolio (if available), and a brief cover letter explaining your interest in science communication and AI/ML technology. Job Type: Full-time Schedule: Monday to Friday Experience: Total work: 1 year (Preferred) Work Location: In person,