Accepting Applications
Full-time
Remote
LinkedIn
Posted 1 month ago
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0 applications
Job Description
**Project Overview:**
Join a growing community of professionals advancing the next wave of AI. As an AI Trainer, you’ll play a hands\-on role by analyzing and providing feedback on data to improve LLM performance, helping ensure that the next generation of AI technology is accurate and trustworthy.
We are seeking a skilled
**Customer Service Representative**
to work as a project consultant in our AI Labor Marketplace. This is not a full\-time employment position — you will be engaged as an expert project consultant on a contract basis.
**Location:**
U.S.\-based experts only
**Engagement:**
Part\-time, 1099 project\-based expert evaluation work
**Work Type:**
Remote
**Project Summary:**
This project evaluates how effectively AI systems provide career guidance across professional occupations. We are seeking experienced Customer Service Representatives and customer support professionals to evaluate AI\-generated career guidance related to customer service operations, customer experience careers, performance development, supervisory pathways, contact center environments, and advancement into customer success or leadership roles. Contributors will help ensure AI\-generated recommendations accurately reflect real\-world customer service careers.
**Consultant Engagement Terms:**
This is a project\-based consultant role. Consultants will be paid on a per\-project basis; hourly rates are estimates based on anticipated completion time.
**Responsibilities**
Contributors will:
* Create benchmark answers for customer service career questions
* Develop scoring rubrics for evaluating AI\-generated guidance
* Assess recommendations related to customer support career progression
* Review advice concerning customer experience, customer success, and leadership pathways
* Evaluate guidance involving performance metrics, communication skills, and service excellence
* Identify inaccurate or impractical career recommendations
* Provide written justification for evaluation decisions
**Expected Outcomes:**
* Accurate benchmark responses reflecting customer service best practices
* Reliable scoring frameworks for AI\-generated career guidance
* Consistent evaluation across customer service career scenarios
* Identification of misleading or incomplete recommendations
* High\-quality expert feedback supporting model evaluation
**Qualifications:**
* Minimum 3\+ years of customer service, customer support, or customer experience experience
* Experience working directly with customers in service environments
* Familiarity with career progression within customer service organizations
* Strong communication and problem\-solving skills
* Ability to evaluate professional guidance objectively and consistently
* Currently practicing or recently active in the field
* U.S.\-based