About the Job

This is a flexible, part-time opportunity requiring approximately 5–20 hours per week at $50 per hour, with earning potential up to $1,000 per week.

The role is fully remote and can be completed alongside or instead of full-time employment.

Role Overview

The company is partnering with a leading foundational AI laboratory to identify experienced rental operations professionals who can help train and refine language models focused on rental and customer service workflows.

The position involves creating, evaluating, and improving AI-generated work related to core rental operations processes.

Key Responsibilities

Create, review, and refine AI-generated workflows and operational content

Support AI model training related to rental operations and customer service scenarios

Contribute expertise across areas including:

Inventory management

Customer intake

Contract documentation

Returns processing

Dispute resolution

Compensation & Commitment

Compensation: $50 per hour

Commitment: Flexible, up to 20 hours per week

Potential Earnings: Up to $1,000 per week

Location: Fully remote

Schedule: Self-managed and flexible

Start Date: April

Qualifications

Minimum 5+ years of experience in rental operations or counter-service roles within high-volume rental environments

Strong expertise in inventory management, customer documentation, and dispute resolution

Excellent written communication skills and strong attention to detail

About Ethos

Ethos is an expert network built by professionals from McKinsey, SoftBank, and DeepMind and backed by investors including General Catalyst.

The organization connects experts with investors and consulting firms for paid expert calls, speaking engagements, and advisory opportunities.

‍