SME

Summary

Join SweetRush's Custom Learning Project team as a freelance Subject Matter Expert (SME) for Google's Gemini models. This fully remote, 6-month contract position (up to 30 hours/week) involves creating and validating training materials for a Gemini certification course. You will collaborate with learning experience designers, review course outlines, validate AI-generated content, and create demonstration assets. The ideal candidate possesses extensive hands-on Gemini experience across various business applications, strong communication skills, and a deep understanding of responsible AI practices. Onboarding includes compensated training. The role requires proficiency in Python and experience with Google AI Studio and the Gemini API.

Requirements

• 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
• 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
• 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
• Experience in reviewing training materials for technical accuracy and clarity
• 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
• Bachelor's degree in Computer Science, AI, Data Science, Technical Communication, or a related field (Master's preferred), or equivalent practical experience

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 Sweetrush systems for all work, including email, messaging platform, and cloud-based file storage systems
• Log time weekly and invoice time monthly

Preferred Qualifications

• 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

Benefits

• Onboarding will be compensated at $250.00 USD for one live session followed by up to 2 hours of asynchronous training
• Remote work