Job Title: Content Evaluation Specialist (Sociology/Anthropology)
Job Type: Part-time
Location: Delhi, India
Job Summary:
Join our customer's team as a Content Evaluation Specialist, leveraging your expertise in sociology, anthropology, or social work to support cutting-edge AI research. In this impactful role, you will objectively analyze and evaluate AI-generated conversations, ensuring high-quality, culturally sensitive responses while contributing to the advancement of AI technologies.
Key Responsibilities:
- Assess AI-generated dialogue for clarity, relevance, and adherence to established guidelines.
- Utilize deep understanding of social behaviors and group dynamics to interpret and label nuanced content.
- Apply structured labeling frameworks with consistency and accuracy across varied content types.
- Document detailed feedback, observations, and insights to inform the research team's development process.
- Conduct scripted and exploratory scenario tests to evaluate model performance and behavior.
- Uphold neutrality and objectivity, especially when reviewing sensitive, challenging, or diverse topics.
- Participate in regular calibration and training sessions to maintain evaluation consistency.
Required Skills and Qualifications:
- Bachelor's degree (or final-year student) in Sociology, Social Work, Anthropology, or a closely related field.
- Exceptional understanding of social behaviors, group dynamics, and cultural sensitivity.
- Demonstrated ability to remain objective and detached when reviewing sensitive subject matter.
- Excellent English reading comprehension alongside strong written and verbal communication skills.
- High level of attention to detail and sound analytical judgment.
- Experience in structured assessment, documentation, or content evaluation is advantageous.
- Comfortable working independently within a remote, research-driven environment.
Preferred Qualifications:
- Prior experience in content moderation, research, or AI evaluation projects.
- Advanced coursework or practical experience in qualitative analysis.
- Familiarity with digital research tools and collaborative remote workflows.
