Role Overview :
We are seeking detail-oriented professionals with hands-on experience in customer service operations, e-commerce, or operations management . In this role, you’ll help build workflows, datasets, and simulations that power the benchmarking of large language models (LLMs) .
Your work will focus on recreating real-world support scenarios , validating AI-generated outputs, and ensuring compliance, trust, and customer experience standards.
What You’ll Do :
- Recreate workflows for ticket handling, chat / email support, refunds / returns, and knowledge base management .
- Validate AI-generated outputs in customer support scenarios to ensure accuracy, compliance, and trustworthiness.
- Simulate escalations, SLA tracking, and quality audits within support workflows.
- Provide structured annotations and datasets to improve LLM training and evaluation.
Required Qualifications :
Proven experience in customer service operations (ticket handling, chat / email workflows, refunds / returns, knowledge base upkeep).Familiarity with workflow tools (e.g., Zendesk, Freshdesk, Salesforce Service Cloud, ServiceNow, Jira, or equivalents).Strong attention to detail and ability to spot weaknesses in AI-generated workflows.Understanding of how operational data is used to train and evaluate LLMs.Excellent written English for creating training-quality datasets and validating AI outputs.Perks of Freelancing with Turing :
Remote-first and flexible work environment.Opportunity to work on cutting-edge AI projects with leading LLM companies.Potential for contract extension based on performance and project needs.Offer Details :
Commitment : Minimum 30 hours / week (at least 4 hours / day, with 4 hours overlapping PST).Engagement Type : Contractor / Freelancer (no medical or paid leave).Duration : 1 month (possible extension).