Job
Description
Client Type: US Client Location: Remote This is a 6-month freelance contract, offering up to 30 hours per week. We are seeking a Subject Matter Expert (SME) with profound expertise in Google's Gemini models, focusing on their practical application from foundational use to advanced power-user techniques. This role is crucial for the development and validation of our certification course, Mastering Gemini from Beginner to Power User (Google DeepMind). This certification will focus on the practical, hands-on use of the Gemini app for business productivity, communication, content creation, and workflow automation, not on programming, API usage or technical integration. As this is a freelance position, we're seeking individuals with a proven track record of successfully managing freelance engagements and multiple client relationships. Responsibilities: Collaborate with a team of learning experience designers to help create and validate training materials. Review a skills task or job task analysis for accuracy and completeness, providing feedback on essential vs. nice-to-know tasks and suggesting improvements. Review a high-level program outline and provide feedback on the order and complexity of topics for the intended audience. Review a detailed program outline to ensure alignment with the high-level program outline, and confirm that content is presented in the correct order and format. Validate AI-generated content to ensure it conforms to learning objectives and is technically accurate. Support the creation of content-specific graphics, such as tables, flowcharts, and screen captures. Create any necessary assets to produce demonstrations that showcase specific procedures and skills. Create recordings of software demonstrations and related audio scripts. Coordinate with learning experience designers to develop the necessary assets, steps, and technical elements for hands-on projects, including exercises, labs, and projects. Be available during US business hours, Monday through Friday, for content reviews, questions, and occasional meetings. Work on the company's systems for all work, including email, messaging platform, and cloud-based file storage systems. Log time weekly and invoice time monthly. Required Skills & Experience: Gemini Model Expertise: Demonstrable, extensive hands-on experience in using and applying Google's Gemini models across a wide range of business settings for common tasks: email drafting, document summarization, brainstorming, workflow automation, etc. Comprehensive knowledge of Gemini's full suite of capabilities, different model versions (Flash, Pro, Ultra), their nuances, and advanced prompt engineering strategies tailored for diverse tasks and outputs. Proven experience with Gemini's multimodal functionalities (text, image, audio, video processing and generation). Experience training non-technical users in adopting AI tools for productivity. Technical & Communication Skills: Ability to clearly articulate complex concepts related to Gemini's functionality, underlying principles (at a high level), use cases, and best practices to diverse audiences, including those new to generative AI and those aiming for advanced proficiency. Experience in developing practical, real-world applications or sophisticated workflows leveraging Gemini (even if for personal projects or proofs-of-concept, demonstrating power-user capabilities). Proficiency in Python, especially for interacting with the Gemini API and demonstrating power user scripting examples (relevant for power-user content). Experience using Google AI Studio for experimenting with, prompting, and understanding Gemini models. Practical experience using the Gemini API for various tasks, understanding its parameters, and integrating it into simple applications or workflows. Gemini Models: Deep familiarity with the different Gemini models (e.g., Flash, Pro, Ultra) and their capabilities. Google AI Studio: For direct interaction, experimentation, and prompting with Gemini models. Gemini API: For programmatic access and integration, especially relevant for power-user understanding. Python: As a common language for using the Gemini API. Google Collaboratory (Colab) / Jupyter Notebooks: For demonstrating API usage and interactive coding with Gemini. Vertex AI: Understanding how Gemini models are accessed and utilized within Google Cloud's Vertex AI platform for more advanced use cases. Responsible AI & Problem Solving: Strong understanding of ethical considerations, responsible AI practices (especially Google's guidelines), and safety measures pertinent to using large language models like Gemini. Excellent problem-solving skills and the ability to troubleshoot issues related to Gemini usage and prompting. Teach and model responsible AI use for business users, including privacy awareness, bias identification, and best practice for verifying AI-generated content. Learning and Development Experience in reviewing training materials for technical accuracy and clarity. A strong understanding of adult learning principles is a plus. Essential experience in training, learning, and development, or teaching. Proven ability to create and deliver effective screencasts and video tutorials. Strong ability to articulate complex technical concepts in an accessible manner. Availability to work during the US time zones' business hours. Qualifications: Bachelor's degree in Computer Science, AI, Data Science, Technical Communication, or a related field (Master's preferred), or equivalent practical experience. Ability to clearly articulate complex concepts related to Gemini's functionality, underlying principles (at a high level), use cases, and best practices to diverse audiences, including those new to generative AI and those aiming for advanced proficiency. Experience in developing practical, real-world applications or sophisticated workflows leveraging Gemini (even if for personal projects or proofs-of-concept, demonstrating power-user capabilities). Strong understanding of ethical considerations, responsible AI practices (especially Google's guidelines), and safety measures pertinent to using large language models like Gemini. Excellent problem-solving skills and the ability to troubleshoot issues related to Gemini usage and prompting. Nice To Have: Experience in technical writing, curriculum development, or delivering training on AI tools or complex software. Familiarity with the broader Google Cloud AI ecosystem and how Gemini integrates or complements other services. Relevant Google Cloud certifications (e.g., Digital Leader, Cloud AI Engineer) can be a plus but are secondary to direct Gemini expertise. Show more Show less
