800 - 1000 SGD
Attention to detail | Powerpoint | marketing | Research
Come join Reality Detector (Seer) – a deep-tech startup seed funded by Tim Draper and Draper Associates which is creating AI-powered deception and emotion detection technology to “reveal incongruent words and actions at a glance”. Our purpose is to create a more discerning, trustworthy and prosperous world. Our vision is to augment human understanding through technology and mission is to build a deception indicator and convince skeptics. To achieve this, we are i) augmenting and commercializing accurate behavioral science with rule-based AI and ii) automating novel automated deep-learning. Our initial product market fit is in creating cutting-edge biometrics to enhance travel across borders and protect innocents from harmful lies The Business Intern will be working in a small team including the CEO and founding team to optimize, manage and extend the organization.
- Financial modelling and projections and support fundraising.
- Market research and validation of new markets.
- Look for and apply for new government grants and competitions.
- Strategize and make slides for our pitch decks.
- Source and recruit for manpower through job portals, fairs, etc.
- Devise social media and marketing campaigns and contribute to writing papers.
- Help with legal, regulatory, HR, office and compliance matters.
- Help with administrative and other non-technical work such as government tenders.
- Microsoft office and desktop research.
- Independent, analytical and logical thinking.
- Good at communication especially writing.
- High numeracy, work-rate and professionalism.
- Detail, design, organization and end-user oriented.
- Share in our purpose to create a world where all people can access undistorted reality and accurately place their trust in others, ensuring authenticity, realism and credibility in human interactions.
- Have a growth mindset, be conscientious and be willing to set stretch goals for yourself.
- Be open to new ideas and feedback from others and believability-weighted decision making.