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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.
- Commitment: Minimum 30 hours/week (at least 4 hours/day, with 4 hours overlapping PST).
- Engagement Type: Contractor / Freelancer (no medical or paid leave).