META AI Support Agent

Position Overview:

AI Support Agents will act as human experts embedded within an AI platform, providing essential human-in-the-loop operational support. In this non-customer-facing role, you will execute and record a series of assigned task workflows to directly train an AI platform on how to perform tasks on behalf of users. Your work will include performing detailed online research as well as conducting outbound phone calls to businesses while acting as a prospective consumer in order to evaluate operational processes such as reservations, scheduling, and general service inquiries. Success in this role requires exceptional attention to detail, strict compliance with project guidelines, critical thinking skills, and the patience to complete repetitive operational tasks to ensure high-quality platform learning outcomes.

Specific Responsibilities May Include:

• Execute assigned task workflows step-by-step, meticulously recording every action to establish accurate data patterns for AI platform model training.
• Perform targeted web searches and online research across various platforms to verify process steps, gather required information, and complete assigned tasks.
• Conduct outbound telephone inquiries to businesses, professionally acting as a consumer to evaluate booking procedures, service details, and operational workflows.
• Complete tasks across a diverse range of domains, adapting seamlessly to varied industry workflows and guidelines.
• Adhere strictly to operational compliance standards, project instructions, and standard operating procedures on every assigned workflow.
• Document detailed, accurate, and structured logs and notes for every completed task to support model evaluation and quality assurance.
• Apply critical thinking to identify process friction, edge cases, or procedural gaps, reporting actionable insights to internal project teams.
• Maintain focus and high quality standards while performing detailed, repetitive operational tasks over extended periods.

Required Experience, Skills & Competencies:

Qualifications & Requirements

• 1–2+ years of experience in interactive customer services, administrative operations, quality assurance, data/content review, or process mapping.
• Demonstrated experience conducting telephone communication and online research in structured or professional environments.
• High school diploma or equivalent required.
• Flexible to work across any shift within a 24/7-style program schedule, including weekends.

Technical Proficiency & Multitasking

• Ability to rapidly learn, navigate, and evaluate basic AI platform features and tools.
• Exceptional attention to detail, with the ability to follow multi-step instructions precisely without compromising quality or compliance.
• Strong internet navigation and search capabilities to locate and verify accurate information quickly.
• Ability to log structured notes and record task details in real time while maintaining operational efficiency.

Problem Solving & Operational Discipline

• High level of patience, focus, and discipline required to perform repetitive operational tasks consistently over time.
• Critical thinking skills to analyze workflow steps, solve minor task hurdles independently, and identify unusual process edge cases.
• Polished, professional, and natural verbal communication when placing outbound phone calls to businesses.
• Full accountability for data integrity, process accuracy, and strict adherence to project standards.

Resilience, Adaptability & Emotional Intelligence

• Demonstrates professional composure and adaptability when workflows, guidelines, or platform updates change.
• Thrives both independently and as a collaborative team partner
• Adapts quickly to dynamic environments, platform updates, and evolving processes.

Preferred Experience, Skills & Competencies:

• Prior experience reviewing, rating, annotating, or mapping human or system-generated data for quality assurance or model training purposes.
• Previous experience in research, administrative audit, or structured call center environments.