Contract Position Senior AI Trainer - Customer Success Managers

Our client is a Palo Altobased 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 deploymentpowered 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: Senior AI Trainer - Customer Success Managers Location: Pan India Experience: 8+ yrs. Employment Type: Contract to hire Work Mode: Remote Notice Period: - Immediate joiners Roles & Responsibilities Role Overview: We are seeking experienced Customer Success Managers to help train advanced AI systems. You will create, evaluate, and refine realistic tasks involving customer onboarding, adoption, retention, renewals, account health, stakeholder management, and value realization. You will verify accuracy, relevance, and practicality, helping AI produce clear, customer-focused solutions aligned with proven success practices and real-world business needs. Requirements 815 years of experience in Customer Success or account management, primarily within enterprise SaaS environments. Proven ownership of strategic enterprise accounts, including complex customer lifecycles, renewals, retention, and revenue growth. Strong experience developing health-score frameworks, renewal playbooks, risk-management processes, and success metrics. Demonstrated ability to build trusted relationships with executive stakeholders and lead business reviews and escalations. Expert in designing onboarding, adoption, value-realization, retention, and account-expansion strategies. Responsibilities Produce high-difficulty expert tasks and gold-standard solutions in the functional area. Review and calibrate team members' output and own day-to-day quality. Escalate genuine edge cases and rubric ambiguities to the Functional SME (Expert) Lead. Education & Experience Bachelor's degree or equivalent practical experience in any field. Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required. .