Remote AI Chatbot Quality Analyst

Turing Enterprises, Inc.

San Francisco (CA)

Remote

USD 34,000 - 55,000

Full time

3 days ago
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Benefits offered by this job

Fully remote
Flexible schedule
Global collaboration

Job summary

Turing Enterprises, Inc. is seeking a detail-oriented QA Analyst to evaluate outputs from multiple chatbots and provide final assessments. The freelance role is fully remote for a defined 16-week project, with five working days per week and weekend work as required.

Ideal candidates have QA/data annotation experience, strong analytical and communication skills, and a meticulous eye for errors. Join a fast-paced AI-driven environment with global impact.

Qualifications

  • Experience in Quality Assurance, data annotation, content evaluation, testing, or similar work.
  • Strong analytical, critical-thinking and problem-solving abilities.
  • Excellent written and verbal communication skills.
  • High attention to detail and ability to spot subtle errors.
  • Comfortable working with AI tools, chatbots and online platforms.
  • Prior chatbot evaluation or data-quality project experience is a plus.

Responsibilities

  • Evaluate and compare responses generated by multiple chatbots.
  • Assess responses for accuracy, relevance, completeness, clarity, and guideline adherence.
  • Identify errors, inconsistencies, missing information, and potential quality issues.
  • Provide structured feedback and final assessments for each task.
  • Follow evaluation guidelines and maintain consistency across reviews.
  • Document findings clearly and collaborate with project and quality teams.
  • Meet assigned productivity, quality, and turnaround-time targets.
  • Escalate complex or ambiguous cases when necessary.

Skills

QA Experience
Analytical Thinking
Communication
Detail-oriented

Tools

AI Tools

Job description

Turing Enterprises, Inc. is seeking a detail-oriented QA Analyst to evaluate outputs from multiple chatbots and provide final assessments. The freelance role is fully remote for a defined 16-week project, with five working days per week and weekend work as required.

Ideal candidates have QA/data annotation experience, strong analytical and communication skills, and a meticulous eye for errors. Join a fast-paced AI-driven environment with global impact.

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