About this role
Role Overview
Apply your professional expertise with AI agents to help train and improve next-generation AI systems for enterprise productivity. You will evaluate real-world AI workflows, identify opportunities for improvement, and provide detailed input that helps models learn, reason, and perform more effectively. Prior AI experience is not required, but regular hands-on use of AI agents in your professional workflow is essential.
Key Responsibilities
- Use your domain expertise to evaluate and enhance AI model capabilities in real-world scenarios.
- Design, run, and refine agentic workflows that simulate critical professional processes and generate actionable insights for model improvement.
- Identify reasoning gaps, workflow limitations, and tool-use challenges in AI agent outputs, then provide detailed, constructive feedback.
- Create examples, test cases, and operational playbooks based on your professional expertise and day-to-day work.
- Collaborate with research and product stakeholders, communicating nuanced domain feedback that informs AI model development.
- Document workflow results and contribute best practices for AI agent adoption and enablement.
Qualifications
- Extensive professional experience in Sales, Growth Product Management, Project Management, Finance, or a comparable field where AI agents are a regular part of your work.
- Experience with AI adoption, AI enablement, process improvement, and AI agents.
- Ability to connect data sources, configure permissions and authentication, and integrate AI agents with productivity tools and business systems.
- Hands-on workflow-building experience, including designing, implementing, and operating multi-tool agentic workflows.
- Experience using tools and systems such as Gmail, Drive, Slack, Jira, MCP connectors, APIs, Zapier, Make, or n8n.
- Strong analytical ability to identify AI model performance gaps and develop creative, domain-grounded solutions.
- Ability to explain complex process requirements and improvement strategies to technical and non-technical audiences.
- Interest in advancing AI adoption and enablement in dynamic business environments.
Work Terms
- Remote contract engagement.
Compensation
- $80 to $150 per hour.