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Posted over 30 days ago. Roles like this often stay open for a while, so it's still worth applying.

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Customer Success Manager (LatAm) at Turing

posted 3 months ago
turing.com Contractor remote Varies 262 views

Customer Success Manager (LatAm) | Contractor | Up to 40 hrs/week | Worldwide Remote

Turing is seeking experienced Customer Success Managers to help train and refine advanced AI systems. In this role, you will create, evaluate, and improve realistic tasks related to customer onboarding, adoption, retention, renewals, and value realization — helping AI models produce accurate, customer-focused solutions aligned with real-world business needs.

This is a short-term contractor engagement (up to 9 weeks) with flexible remote work and a minimum commitment of 4 hours per day, with overlap required during PST hours.

About Turing

Turing is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing partners with leading AI labs to push the frontier of model capabilities — including reasoning, coding, agentic behavior, and multimodality — while also building real-world AI solutions for enterprise clients.

Key Responsibilities

  • Produce expert-level tasks and solutions in Customer Success aligned with established quality standards.
  • Evaluate and refine AI-generated outputs related to onboarding plans, adoption strategies, renewal preparation, and customer communications.
  • Incorporate calibration feedback from senior reviewers and iterate accordingly.
  • Apply rubric standards set by the Functional SME (Expert) Lead.

Requirements

  • 3–8 years of professional experience in Customer Success, account management, or client services.
  • Proven track record managing customer onboarding, product adoption, engagement, retention, and renewals.
  • Hands-on experience with Customer Success platforms such as Gainsight, Totango, ChurnZero, or similar tools.
  • Strong understanding of customer health scores, usage metrics, success plans, risk identification, and value realization.
  • Ability to create accurate, practical tasks and scenarios reflecting real-world CS workflows.

Education & Experience

  • Bachelor's degree or equivalent practical experience in any field.
  • Experience in AI evaluation, data annotation, content review, or quality assurance is a plus but not required.

Engagement Details

  • Type: Contractor
  • Duration: Up to 9 weeks
  • Hours: Minimum 4 hours/day, up to 40 hours/week
  • Overlap Required: At least 4 hours with PST timezone

Evaluation Process

  • Shortlisted candidates will receive a Job Interest Form.
  • Final selected candidates will be contacted with next steps and onboarding requirements.
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