Technical Information Management Intern
Technical Information Management Intern
Job description
The Technical Information Management Intern will be responsible for the end-to-end process of creating and distributing technical newsletters. This includes researching technical topics, writing concise and engaging content, managing the newsletter distribution platform (HubSpot), analyzing performance metrics, and ensuring the accuracy and consistency of information. This role is heavily focused on the management and organization of technical information, requiring a strong understanding of technical concepts and the ability to translate them into accessible content.
Responsibilities:
- Content Creation: Research, write, and edit technical articles, updates, and announcements for inclusion in the company newsletter. This includes collaborating with technical experts within the company to gather information and ensure accuracy.
- Information Management: Organize and maintain a repository of technical content for future use in newsletters and other communications. This may involve tagging, categorizing, and version controlling documents.
- Newsletter Production: Format and design newsletters using HubSpot, ensuring a professional and consistent brand identity. This includes utilizing templates, managing lists, and scheduling sends.
- Distribution Management: Manage the distribution of newsletters through HubSpot, including segmenting audiences, scheduling sends, and monitoring delivery rates.
- Performance Analysis: Track and analyze newsletter performance metrics (e.g., open rates, click-through rates, unsubscribes) to identify areas for improvement and optimize future campaigns. Generate reports on key metrics.
- Audience Management: Manage and update subscriber lists within HubSpot, ensuring data integrity and compliance with privacy regulations.
- Collaboration: Work closely with the marketing and technical teams to ensure alignment of newsletter content with overall communication strategies and product development roadmaps.
- Process Improvement: Identify opportunities to streamline and improve the newsletter creation and distribution process. This may involve researching new tools and technologies.
Qualifications:
- Currently pursuing a degree in a technical field (e.g., Computer Science, Engineering, Information Systems) or a related field with a strong technical aptitude.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts in a clear and concise manner.
- Strong attention to detail and a commitment to accuracy.
- Experience with or willingness to learn HubSpot (or similar email marketing platform) is highly desired.
- Familiarity with technical documentation and terminology.
- Strong organizational skills and the ability to manage multiple tasks simultaneously.
- Ability to work independently and as part of a team.
- A passion for technology and a desire to learn.
Benefits:
- Gain valuable hands-on experience in technical content development and marketing within a fast-paced tech environment.
- Opportunity to work with cutting-edge technologies and learn from experienced professionals.
- Develop your communication, organization, and analytical skills.
Desired majors: Computer Science, Information Systems, Data Science, Computer Engineering. Electrical Engineering, Mechanical Engineering.
Required Skills
Appreciation of startup company mentality- we are on the ground floor of potentially disruptive technology. We often work long hours at below-market rate with the intentions of future gains. Note that as a startup, we currently do not offer any benefits.
Describe in your cover letter specifically how you meet this requirement.
Location/Hours/Pay
Initial work will take place at an agreed upon co-working space in Oakland county or at our Centerline office located here: 7325 Bernice St, Center Line, MI 48015
Once the intern is self-sufficient, the work will likely move to a hybrid work arrangement as appropriate.
15-30 hours per month is allocated for this position. Working hours are flexible. This is a long-term position. $15/hour
Company
GEKOT Robotics’s ML-based tech solutions enable micro mobility rental fleet operators to reduce accidents and comply with safety mandates. GEKOT Robotics utilizes IoT, sensors, and alerts for sidewalk detection and collision avoidance.
Background
Almost all vehicle accidents are caused by human error. Modern automobile mitigate such accidents by way of applied situational awareness technology such as:
- Pedestrian detection
- Hazard avoidance
- Lane departure warning/correction
- Blind spot detection
These complex solutions relay on a costly suite of technology which makes them unfeasible for Light Electric Vehicles such as:
- e-bikes
- electric scooters
- mobility scooters
- golf carts
- fork lifts
Light Electric Vehicle (LEV) options, such as e-scooters and e-bikes, are ideal transportation modes for short trips and small package delivery. Light Electric Vehicles such as these are gaining popularity in commercial, retail, and military applications. As such, accidents and injuries related to the use of LEVs are also on the rise.
Our value
We propose that LEVs would benefit greatly from technology that improves the operators situational awareness. We also propose that a solution can be developed such that the per-unit cost will be appropriate to the (relatively) low cost of the subject vehicle application. The key enabler here is the low speed of the subject vehicles inviting short range (low cost) sensors such a mmWave radar, solid state LiDAR, and Inertial Measurement Units (IMU)..
Solutions in development
Technology based “situal awareness” for Light Electric Vehicle. The vehicle mounted system consists of sensors, controls, and alerts that provide the operator with extra “eyes on the road”.
Solution key features
Sidewalk Detection - Classify riding surface as “sidewalk” or “not sidewalk”
Pedestrian Detection - Utilize LiDAR or mmWave Radar technology to classify nearby hazards
Reckless riding detection - Classify improper use
Theft/tamper detection- Classify vehicle abuse
System alerts - Audio and visual alerts provide operator awareness
Event visualization and analysis