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).

About Turing:

Based in San Francisco, California, Turing is the world's leading research accelerator for 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 into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

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Customer Service Operator