Why This Role Stands Out
This hybrid role offers you the chance to directly contribute to cutting-edge AI development by evaluating and improving conversational interactions, leveraging your strong English writing skills and critical thinking. You'll thrive here if you possess excellent attention to detail and enjoy objective assessment, with flexible hours allowing for a great work-life balance. Apply today to join an exciting project shaping the future of AI.
Quick Overview
Job Description
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Conversation Evaluator for AI Training - EnglishWe are seeking fluent English Reviewers/QA Specialists for an upcoming writing annotation project.
Job Description: Evaluate conversations between users and agents, assessing responses for helpfulness, quality, naturalness, and overall user satisfaction. The ideal candidate must have strong English writing skills, excellent attention to detail, and sound judgment.
What to stand out?
- Strong English writing, communication, and comprehension skills
- Must be currently based in the US, UK, Ireland, Canada, or Australia
- Excellent attention to detail and critical-thinking abilities
- Ability to evaluate conversations objectively and consistently
- Ability to write clear, natural, and helpful responses
- Ability to follow detailed guidelines and rating criteria
- Experience in AI evaluation, content writing, QA, or similar work is a plus
What to commit?
- Participate in a training meeting + complete a qualification test
- Work a minimum of 3-4 hours per day - Flexible schedule
- Adhere to deadlines and guideline standards.
What to expect?
- Becoming one of the first to train AI dedicated to your industry
- Competitive rates based on skills and experience
- Engagement in exciting generative AI development from the convenience of your home.
- Flexible work hours and availability.
About TrustScale:
TrustScale is an AI Trust and Verification Platform. TrustScale bridges the trust gap between AI and humanity through solutions that offer hallucination detection and reinforcement learning to reduce risk and prevent unintended consequences of AI outputs.
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