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Product launch / experiment readiness Evaluator in India at Jobgether

NewJob Function: Admin/Clerical/Secretarial
Jobgether
India, India
Posted on
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Job Description

Product launch / experiment readiness Evaluator

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Launch / Experiment Readiness Evaluator based in India.

This is a specialized evaluation role focused on assessing the quality, rigor, and real-world readiness of AI-generated product launch and experimentation materials. You will review structured outputs such as documents, spreadsheets, and presentation decks, ensuring they meet high standards of clarity, accuracy, and domain relevance. The role requires strong judgment in identifying gaps, inconsistencies, and execution risks within product launch and experiment planning artifacts. You will contribute directly to improving AI systems by providing expert-level feedback that strengthens model outputs. The environment is remote, flexible, and highly analytical, with an emphasis on precision, structured thinking, and domain expertise. Your evaluations will help shape how AI systems understand and generate product launch and experimentation workflows.

Accountabilities:
  • Evaluate AI-generated product launch and experiment readiness artifacts, including documents, spreadsheets, and slide decks, against structured quality rubrics.
  • Assess accuracy, completeness, and practical feasibility of product launch plans and experiment designs.
  • Identify factual errors, logical inconsistencies, presentation issues, and gaps in execution readiness.
  • Provide clear, structured, and actionable written feedback to improve output quality.
  • Apply domain expertise in product launches, experimentation frameworks, and go-to-market readiness to evaluate outputs.
  • Ensure consistency in evaluation standards across multiple AI-generated deliverables.
  • Contribute insights that help improve AI system performance in product and experimentation contexts.

Requirements:

  • 5+ years of professional experience in product management, product launches, experimentation, growth, or related domains.
  • Strong understanding of product launch cycles, experiment design (A/B testing, validation frameworks), and go-to-market execution.
  • Excellent analytical skills with the ability to evaluate structured business documents and identify execution gaps.
  • Proficiency in Microsoft Office and Google Workspace, especially Google Slides and PowerPoint.
  • Strong written communication skills with the ability to provide structured, high-quality feedback in English.
  • Ability to apply critical thinking and domain expertise to evaluate real-world product readiness scenarios.
  • Advanced degree (Master’s or higher) is a plus but not required.
  • Experience working in fast-paced product or tech environments is highly desirable.

Benefits:

  • Competitive hourly compensation ranging from $80 to $120 per hour
  • Fully remote, flexible contract-based engagement
  • Opportunity to contribute to frontier AI model evaluation and training
  • Weekly payments via Stripe or Wise based on completed work
  • Flexible workload and scheduling based on availability
  • Exposure to advanced AI systems and product experimentation frameworks
  • Potential for contract extension based on performance and project needs
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location

India, India

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