Remote AI Generalist Contractor — Task Feedback Specialist

Zekai

United States

Remote

USD 34,000 - 55,000

Full time

12 days ago

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Job summary

Zekai in the United States is seeking AI Generalist Experts for a 100% remote contractor role. You will apply your problem-solving skills and experience with AI tools to complete real-world tasks, evaluate outputs, and provide structured feedback to improve AI models.

The role involves executing online workflows, documenting results with screenshots, and identifying improvements while maintaining high-quality standards across multiple assignments.

Qualifications

  • A few years of professional work experience in any field.
  • Hands-on experience using AI tools.
  • Comfortable completing real-world purchasing and cancellation tasks, including using personal payment methods under approved reimbursement procedures.
  • Biometric data on device used to complete tasks securely (fingerprint or facial recognition).
  • Strong digital literacy and ability to navigate online platforms.

Responsibilities

  • Execute real-world digital workflows involving online platforms, products, and services.
  • Use AI tools to complete tasks and evaluate their performance.
  • Document task execution through screenshots, observations, and structured feedback.
  • Identify errors, inconsistencies, and areas for improvement in AI-generated outputs.
  • Provide clear, detailed feedback to improve AI accuracy and real-world usability.
  • Complete multiple assignments independently while maintaining high-quality standards.

Skills

AI tools experience
Digital literacy
Written communication
Independent work

Tools

AI tools

Job description

Zekai in the United States is seeking AI Generalist Experts for a 100% remote contractor role. You will apply your problem-solving skills and experience with AI tools to complete real-world tasks, evaluate outputs, and provide structured feedback to improve AI models.

The role involves executing online workflows, documenting results with screenshots, and identifying improvements while maintaining high-quality standards across multiple assignments.

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