**Job Title**: Agent Operator **Schedule**: Full-Time, 45 hours/week **Work Days**: Monday to Friday **Work Hours**: Staggered shifts between 8:00 AM to 8:00 PM EST **Work Setup**: Fully Remote **About the Role**: **Key Responsibilities**: - ** Label and Tag AI Conversations**: Accurately annotate AI agent conversations using internal tools such as LangSmith or other proprietary platforms. - ** Review and QA AI Outputs**: Analyze and correct AI-generated outputs related to contracts, accounts receivable transactions, reconciliations, and similar data. - ** Identify and Escalate Issues**: Flag logic errors, inconsistencies, or unclear agent behavior, and escalate them to leads or relevant stakeholders. - ** Document and Report Edge Cases**: Help document unique cases, recurring patterns, or workflow challenges to support model training and improvements. - ** Contribute to Workflow Development**: Support the creation of efficient tagging workflows and quality assurance best practices. - ** Maintain Quality and Productivity**: Meet or exceed daily output goals while ensuring consistent quality, accuracy, and attention to detail. **Qualifications**: - 1 to 3 years of experience in **data entry**, **finance operations**, **customer support**, **quality assurance**, or **tagging/labeling** roles - Strong **reading comprehension** and ability to follow detailed workflows and task instructions - Good **written English communication skills** for internal documentation and feedback - Comfortable using tools such as **Airtable**, **Google Sheets**, and **AI annotation platforms**: - Highly **reliable**, **self-motivated**, and **organized**: - Ability to thrive in a **fully remote** and **fast-paced** team environment **Tools & Software**: - ** Airtable**: - ** Google Sheets**: - ** AI Annotation Tools** (e.g., LangSmith or similar proprietary platforms)