Vacancy description
Turing
India, Rāniganj
Lab Customer Support Consultant, English Speaking in Rāniganj, India is listed on Jobeax. Browse 30,000+ vacancies available.
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.
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.
Proven experience in customer service operations (ticket handling, chat/email workflows, refunds/returns, knowledge base upkeep).
Zendesk, Freshdesk, Salesforce Service Cloud, ServiceNow, Jira, or equivalents).
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.
Engagement Type: Contractor / Freelancer (no medical or paid leave).
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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