Design and deliver training on integrating AI with electrical engineering. Create practical learning scenarios, evaluate AI-driven solutions, mentor team members, develop clear instructional materials, and keep content current with AI and EE advances while collaborating with cross-functional teams.
This role is for one of our clients
Job Title: Electrical Engineers
Job Type: Trainer
Location: Remote
Compensation: $59 - $74/hour-pay
As an Electrical Engineers, where you’ll play a pivotal role in shaping the next generation of AI-powered solutions for the electrical engineering sector. You will leverage your expertise to bridge the gap between traditional electrical engineering concepts and emerging artificial intelligence applications.
Requirements
Key Responsibilities
- Develop and deliver engaging training modules focused on integrating AI into electrical engineering frameworks.
- Collaborate closely with engineering and AI teams to design practical, real-world scenarios for learning.
- Evaluate and improve AI-driven electrical engineering solutions through testing, feedback, and iteration.
- Mentor and guide team members in upskilling, promoting a culture of continuous learning.
- Translate complex technical concepts into clear, accessible materials for diverse audiences.
- Stay up-to-date with the latest advancements in AI and electrical engineering to inform training content.
- Foster effective written and verbal communication within the team, ensuring knowledge transfer and engagement.
Required Skills and Qualifications
- Bachelor’s or Master’s degree in Electrical Engineering or related field.
- In-depth knowledge of electrical engineering principles and modern AI technologies.
- Proven experience in training, mentoring, or technical instruction.
- Exceptional written and verbal communication skills.
- Strong analytical and problem-solving abilities.
- Ability to work independently and as part of a remote, cross-functional team.
- Proficient with AI tools, simulation software, and relevant programming languages (e.g., Python, MATLAB).
Preferred Qualifications
- Experience deploying AI solutions within electrical engineering projects.
- Background in curriculum development for technical audiences.
- Certifications in AI, machine learning, or instructional design.
Similar Jobs
Digital Media • Information Technology • News + Entertainment
Lead design and implementation of AI Ops platform and cloud-based software solutions (AWS/GCP). Develop and maintain code (Golang, Python, Java), IaC, LLM/agent integrations, APIs/GraphQL, and automation. Mentor developers, create technical documentation and architecture diagrams, collaborate with QA and stakeholders, troubleshoot automation/operations issues, and drive continuous improvement.
Top Skills:
Agent FrameworksAgileAi OpsAmazon SqsAutomated Testing FrameworksAWSAws BedrockAws Step FunctionsEsb PlatformsEvent ManagementGitGithub ActionsGoGCPGraph DatabasesGraphQLInfrastructure As Code (Iac)ItsmJavaLlmsLow-Code/No-Code PlatformsMongoDBPrompt EngineeringPythonRRest Apis
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The Business Analyst will lead digital transformation projects in banking, document requirements on Jira, and engage with stakeholders to align business outcomes.
Top Skills:
JIRA
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The role requires strong project management and data analysis skills with a focus on technology and AI in the banking sector.
Top Skills:
Artificial IntelligenceData AnalysisGenerative Ai
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
