ServiceNow LLM Trainer

2 weeks ago

India People Prime Worldwide Full time

About Company: Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,”enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent. In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta. Job Description: Job Title: ServiceNow LLM Trainer Location: Pan India Experience: 4+ yrs. Employment Type: Contract to hire Work Mode: Remote Notice Period: - Immediate joiners Requirements: 4–6 years of experience with ServiceNow, specifically CSM, ITSM, and HRSD modules. Strong knowledge of workflows, cases, incidents, requests, SLAs, and knowledge management in ServiceNow. Proficiency in JSON authoring and working with structured data. Solid understanding of SQL for data analysis and task validation. Ability to design realistic enterprise scenarios that map to ServiceNow processes. Experience in AI model training workflows, contributing to the creation of structured training data. Strong prompt engineering skills for crafting effective instructions. Analytical thinking, attention to detail, and logical structuring. Strong communication skills + customer facing experience is a BONUS Preferred Qualifications ServiceNow Certified System Administrator (CSA) and Certified Implementation Specialist-ITSM (CIS - ITSM). Any One - ServiceNow Certified Implementation Specialist (CSM or HRSD). Exposure to AI/ML workflows or training data preparation. Familiarity with Agile methodologies. Good knowledge of prompt engineering.

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