Customer Service Operator - 45024

Role Overview : We are seekingdetail-oriented professionalswith hands-on experience incustomer service operations, e-commerce, or operations management . In this role, you’ll help build workflows, datasets, and simulations that power the benchmarking oflarge language models (LLMs) .Your work will focus onrecreating real-world support scenarios , validating AI-generated outputs, and ensuring compliance, trust, and customer experience standards.What You’ll Do : Recreate workflows forticket handling, chat / email support, refunds / returns, and knowledge base management .ValidateAI-generated outputsin customer support scenarios to ensure accuracy, compliance, and trustworthiness.Simulateescalations, SLA tracking, and quality auditswithin support workflows.Providestructured annotations and datasetsto improve LLM training and evaluation.Required Qualifications : Proven experience incustomer 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).Strongattention to detailand ability to spot weaknesses in AI-generated workflows.Understanding of howoperational datais used to train and evaluate LLMs.Excellent written English for creatingtraining-quality datasetsand validating AI outputs.Perks of Freelancing with Turing : Remote-first and flexiblework environment.Opportunity to work oncutting-edge AI projectswith leading LLM companies.Potential forcontract extensionbased 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).About Turing : Based in San Francisco, California, Turing is the world’s leadingresearch acceleratorfor frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways : first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept intoproprietary intelligencewith systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L