Role Description The Part-Time Instructor for Artificial Intelligence and Machine Learning (AIML) plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs. Instructors facilitate curriculum content, support student learning, and connect technical concepts to real-world industry applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment. Classes are delivered 100% online in a synchronous format. Job Summary We are seeking experienced AGS- AI Trainers to deliver live online training sessions covering modern generative models, LLMs, LangChain, RAG, and prompt engineering with hands-on demos and projects. Key Responsibilities - Deliver live, instructor-led online classes - Conduct hands-on demos, guided practices, and projects - Explain concepts using real-world use cases - Address learner queries and ensure engagement Qualifications - 8+ years of experience in Agentic AI / Generative AI / NLP / LLMs - Bachelor’s degree in any field AND a minimum of 5+ years of professional experience in Artificial Intelligence or Machine Learning - Strong proficiency in Python, LLM frameworks, and LangChain - Prior online or classroom training experience Work Schedule - Part-Time instructors typically work 8–10 hours per week depending on cohort schedules. - Current AIML cohorts meet during evening hours: - Weekends - Saturday and Sunday - Sessions typically run 10:00 AM to 2 PM EST Compensation The anticipated pay range for this position is $60-per hour, depending on qualifications and experience. This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws. Equal Employment Opportunity We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. Work Authorization Applicants must be legally authorized to work in the United States at the time of application and throughout employment.

• Develop and implement Generative Engine Optimization (GEO) strategies to increase visibility across AI-powered search platforms. • Monitor and evaluate how the company is referenced, cited, and recommended by AI tools including ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews. • Identify opportunities to improve AI-generated referrals, citations, and brand mentions. • Partner with marketing, content, and SEO teams to create assets optimized for both search engines and AI systems. • Build and execute authority-building initiatives that strengthen the company's digital footprint. • Secure mentions, citations, and placements on relevant websites, publications, podcasts, and industry platforms. • Develop relationships with journalists, publishers, bloggers, podcast hosts, and strategic partners. • Identify guest posting, partnership, media outreach, and podcast opportunities. • Execute outreach campaigns to acquire high-quality backlinks from authoritative websites. • Expand the company's presence across business directories, review platforms, industry listings, and trusted online resources. • Conduct competitor analysis to evaluate backlink strategies, authority-building efforts, and AI visibility performance. • Research emerging GEO, AI Search, AEO, SEO, and digital authority trends. • Track performance metrics related to backlinks, referrals, brand mentions, authority growth, and AI visibility. • Provide ongoing recommendations and strategic insights based on campaign performance and industry developments.

Role Description Search is changing fast and we’re looking for someone who understands where it’s going next. This role is built for a strategist who sees organic visibility as bigger than blue links and keyword rankings. You’ll help shape how brands are discovered across traditional search engines, AI-generated answers, conversational interfaces, and emerging discovery ecosystems. You’ll lead initiatives that improve discoverability across: - Google Search - AI Overviews - ChatGPT - Gemini - Perplexity - Other evolving platforms Combining technical SEO, content strategy, semantic optimization, and performance analysis into one cohesive growth function. We’re not looking for someone who simply “does SEO.” We’re looking for someone who understands how search behavior is evolving and can build strategies around it. Qualifications - 3+ years of experience in SEO, content strategy, or organic growth - Strong understanding of: - Technical SEO fundamentals - Content strategy and keyword/intent mapping - Evolving search landscape (AI search, zero-click behavior, entity-based search) - Experience creating or managing high-performing content programs - Familiarity with structured data, schema, and semantic SEO principles - Analytical mindset with the ability to tie work to business outcomes - Clear communicator who can translate complex search concepts into actionable plans Requirements - Develop multi-layered organic search strategies spanning: - Traditional SEO - AI-generated search experiences - Conversational and answer-based discovery - Zero-click search environments - Identify opportunities to increase visibility across search engines, AI assistants, and recommendation-driven interfaces - Stay ahead of shifts in search behavior, algorithm changes, SERP evolution, and AI-driven user journeys - Build frameworks that improve authority, topical relevance, entity recognition, and discoverability - Create scalable content strategies rooted in intent, audience behavior, and semantic relevance - Build topic ecosystems and internal linking structures that strengthen topical authority - Guide the development of high-quality content designed for both human users and machine interpretation - Optimize existing content for extraction, summarization, citation, and conversational retrieval by AI systems - Partner with creative, development, and marketing teams to align content with growth objectives - Ensure sites maintain strong technical foundations including crawlability, indexing, structured data, and site architecture - Implement schema and entity optimization strategies that improve machine understanding - Identify technical barriers limiting organic performance or AI discoverability - Collaborate with developers on performance improvements and scalable SEO implementations - Define success metrics across organic visibility, engagement, lead quality, conversions, and AI presence - Use GA4, Search Console, Ahrefs/Semrush, and emerging AI visibility tools to uncover opportunities and performance insights - Turn data into actionable recommendations and iterative growth strategies - Monitor competitive positioning across both traditional and AI-powered search environments - Work cross-functionally with paid media, CRO, sales, and creative teams to align messaging and maximize acquisition impact - Support campaigns where SEO, content, paid acquisition, and AI visibility operate as a unified strategy - Help shape internal processes and educate teams on the future of search and discovery Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Paid Time Off (Vacation, Sick & Public Holidays) - Training & Development - Work From Home - Schedule: Monday - Friday, hours flexible between 8:00am - 6:00pm

• Translate ambiguous product or business requirements into clear technical specifications, system designs, and validation plans. • Build, maintain, and scale AI-powered production systems and agentic applications. • Design workflows where LLMs, VLMs, tools, APIs, retrieval systems, and traditional microservices work together reliably. • Use AI-assisted development tools while maintaining code quality, security, performance, and long-term maintainability. • Prevent AI-generated code bloat, dead code, and unnecessary complexity. • Build observability, evaluation, testing, and monitoring systems for AI-generated outputs. • Optimize prompts, model selection, workflows, and inference cost. • Apply Responsible AI principles including safety, privacy, fairness, transparency, and accountability. • Work with cross-functional teams across product, engineering, security, data, and design. • Mentor engineers to move from implementation-heavy development to system orchestration and AI-first engineering practices.