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OpenTrain AIFor AI Companies

Customer Success AI Task Reviewer

Use 8–15 years of enterprise SaaS customer success expertise to create challenging AI tasks, evaluate generated solutions, and calibrate contributor work. Contract role with flexible part-time work of 20+ hours per week.

OpenTrain AI

Generative AI & RLHF

100% Remote

Worldwide

Eligibility

Entry

Experience

Aug 12, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help experts discover projects, build a professional profile, and apply to opportunities that turn specialized knowledge into meaningful AI work.

  • Work remotely as an independent contractor
  • Build a lasting portfolio of AI training experience
  • Create an OpenTrain account for free

About AI Training Work

AI training is the human side of building modern artificial intelligence. People with real-world expertise create examples, write solutions, and evaluate model outputs so AI systems can become more accurate, useful, and reliable.

This role focuses on advanced customer success scenarios. Your judgment will help assess whether AI-generated work reflects practical enterprise SaaS strategy and sound customer-focused decision-making.

  • Contribute to cutting-edge AI systems through expert review
  • Apply professional knowledge to realistic business scenarios
  • Work remotely with flexible scheduling

The Role

OpenTrain is seeking a Customer Success AI Task Reviewer to develop and review high-difficulty tasks involving enterprise SaaS customer success. You will create realistic scenarios and practical solutions, then evaluate AI-generated work for accuracy, relevance, and usefulness.

The work covers customer onboarding, product adoption, retention, renewals, account health, stakeholder management, value realization, and account expansion. You will also help maintain quality across contributor output and identify edge cases or unclear evaluation criteria for escalation.

  • Contractor position
  • Part-time engagement
  • 20+ hours per week
  • English-language work
  • Worldwide opportunity

What You'll Do

You will use your enterprise customer success experience to produce demanding, well-grounded AI training tasks and evaluate proposed solutions. The work requires practical judgment: solutions should be accurate, relevant to the customer situation, and applicable in an enterprise SaaS environment.

  • Create challenging customer success tasks grounded in enterprise SaaS practices
  • Write accurate, relevant, practical, and customer-focused solutions
  • Evaluate and refine work involving customer lifecycles, renewals, retention, and revenue growth
  • Review and calibrate other contributors' output
  • Maintain day-to-day quality across assigned work
  • Identify genuine edge cases and unclear evaluation criteria
  • Escalate issues when evaluation standards or scenarios require clarification

Required Experience And Skills

This role is intended for an experienced customer success or account management professional, particularly someone who has worked with strategic enterprise accounts in SaaS. You should be comfortable assessing both the strategic quality and practical execution of customer success plans.

  • 8 to 15 years of experience in customer success or account management
  • Primarily enterprise SaaS experience
  • Ownership of strategic enterprise accounts and complex customer lifecycles
  • Experience with renewals, retention, and revenue growth
  • Ability to develop health-score frameworks and renewal playbooks
  • Experience with risk-management processes and success metrics
  • Strong executive stakeholder communication skills
  • Experience leading business reviews and handling escalations
  • Ability to design onboarding, adoption, value-realization, retention, and account-expansion strategies
  • Ability to assess proposed customer success solutions for accuracy and practicality

Helpful Background

A bachelor's degree or equivalent practical experience in any field is welcome. Previous experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role may be useful, but it is not required.

  • Bachelor's degree or equivalent practical experience welcome
  • AI evaluation experience helpful but not required
  • Data annotation or content review experience helpful but not required
  • Quality assurance or related analytical experience helpful but not required

Why Work With OpenTrain

AI training and data labeling are among the fastest-growing ways to work in tech. By contributing expert judgment to model evaluation, you can help shape how state-of-the-art AI systems understand and respond to complex professional situations.

OpenTrain gives you a place to build a credible AI training portfolio, discover projects aligned with your skills, and develop a longer-term path in this expanding field.

  • Apply specialized customer success expertise to AI development
  • Work remotely with a flexible part-time schedule
  • Build experience in AI training and evaluation
  • Grow a portfolio that reflects your professional strengths

Ready to apply?

Create a free OpenTrain account and apply for this role in minutes.

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