Talent categories
Capabilities vary by individual, so a category is a starting point rather than a promise. CAYGO matches on what each professional has been assessed and verified to do.
People who run, support, and improve day-to-day work with AI and automation.
Executive assistants, operations coordinators, and administrators who use AI tools to keep calendars, inboxes, follow-ups, and reporting under control.
Often suits: Founders and managers who want organized, dependable day-to-day support.
Marketing and content professionals who use AI to draft, research, and repurpose content while keeping quality, accuracy, and brand voice under human control.
Often suits: Teams that need consistent content output without lowering the quality bar.
Support professionals who handle customers well and keep the systems behind them tidy.
Often suits: Businesses whose support inbox or CRM has become hard to trust.
Builders who map how work moves and connect tools so routine steps run on their own.
Often suits: Teams re-entering the same data or repeating the same steps by hand.
Specialists who help teams adopt AI tools in a consistent, responsible way.
Often suits: Organizations where everyone uses AI differently and no one has set standards.
Engineers and specialists who build, connect, run, and test AI-enabled systems.
Software engineers who build features and internal tools on top of AI models and APIs.
Often suits: Teams adding AI capability to a product or an internal process.
Engineers who connect AI capabilities to the systems a business already runs.
Often suits: Teams whose AI tools don't yet talk to their existing software.
Engineers who prepare data and build, train, and evaluate models.
Often suits: Teams with data to organize or models to build and measure.
Specialists who deploy, monitor, and maintain machine-learning and LLM-based systems in production.
Often suits: Teams running AI systems that need to stay reliable.
Engineers who design and build agent-style workflows where AI takes multi-step actions with the right guardrails.
Often suits: Teams automating multi-step work that needs judgment and oversight.
Specialists who test AI outputs and AI-enabled workflows for accuracy, consistency, and safety.
Often suits: Teams that need to know whether their AI output can be trusted.
How matching works
No category label guarantees a particular skill level. When CAYGO matches talent to a requirement, it looks at:
Describe the role and the problem. We review your brief and come back with next steps. No call is needed before you submit.
Start a Hiring BriefApply to the CAYGO Talent Pool. Joining does not guarantee placement; it starts a fair, practical assessment.
Join the CAYGO Talent Pool