About the Role
This role involves assessing AI-generated customer support content for quality, correctness, and appropriateness. Evaluators follow structured guidelines to rate responses and help refine machine learning models used in customer-facing applications.
Responsibilities
- Review AI-generated replies in customer service contexts for clarity and correctness
- Rate responses based on accuracy, tone, and adherence to support best practices
- Identify and flag inappropriate, off-topic, or factually incorrect outputs
- Follow detailed evaluation criteria for consistency across assessments
- Provide feedback that contributes to model improvement
- Handle multiple evaluation tasks within defined timeframes
- Maintain high attention to detail during repetitive assessment work
- Report anomalies or systemic issues in AI behavior
- Ensure evaluations reflect diverse customer perspectives
- Adhere to data privacy and confidentiality standards
- Work independently with minimal supervision
- Meet quality and productivity benchmarks
- Stay updated on evolving evaluation guidelines
- Collaborate with team leads on edge cases
- Contribute to training data refinement for AI systems
- Evaluate multilingual support responses where applicable
- Assess empathy and professionalism in AI tone
- Judge response relevance to specific customer intents
- Identify cultural or contextual misalignments in replies
- Support efforts to reduce bias in AI-generated content
- Use annotation tools to submit evaluations
- Complete tasks according to project timelines
- Maintain consistent performance across evaluation cycles
- Participate in calibration exercises with peers
- Follow ethical guidelines when rating sensitive content
Nice to Have
- Prior work in customer support or technical support roles
- Experience evaluating AI or NLP systems
- Background in language quality assessment
- Familiarity with rating interfaces for machine learning
- Knowledge of linguistic evaluation metrics
- Experience with low-code or annotation platforms
- Understanding of sentiment analysis concepts
- Exposure to human-in-the-loop AI systems
- Work history in remote, asynchronous environments
- Demonstrated ability to follow complex instructions
Compensation
Competitive hourly rate based on experience and location
Work Arrangement
Remote
Team
Distributed team supporting AI training and evaluation initiatives
What You’ll Do
- Evaluate AI-generated customer service replies across various scenarios
- Apply scoring rubrics to assess response quality and safety
- Help train AI models by identifying strengths and weaknesses in outputs
- Contribute to improving the realism and effectiveness of support bots
- Work on tasks that require consistent, thoughtful judgment
Who You Are
- Detail-oriented with a strong sense of accuracy
- Able to articulate why a response works or fails
- Comfortable working with structured feedback systems
- Sensitive to tone, empathy, and customer needs
- Reliable and committed to high-quality output
Not applicable
