Stellenbeschreibung
AI Content Evaluation Specialist
Job Type: Contractor Location: Remote (US/Canada/LATAM)
Job Summary
Join our customer's team as an AI Content Evaluation Specialist and play a vital role in ensuring AI-generated content aligns with community guidelines and safety standards. This expert-level position offers the opportunity to influence how advanced AI systems interpret and interact with online content while working remotely with a diverse team.
Key Responsibilities
- Assess and moderate AI-generated images and text for compliance with safety and content guidelines.
- Identify, flag, and report potentially harmful or inappropriate materials across various platforms.
- Collaborate with cross-functional teams to refine content evaluation procedures and ensure continuous improvement.
- Analyze emerging trends in social media and user-generated content to inform evaluation protocols.
- Document findings and provide clear, actionable feedback to development teams.
- Stay updated on the latest advancements in AI, content moderation, and digital safety practices.
- Contribute to the development and maintenance of internal best practices and knowledge bases.
Required Skills And Qualifications
- Proven experience in content moderation, digital safety evaluation, or a related field.
- Strong social media literacy with a keen awareness of community guidelines and platform-specific standards.
- Advanced skills in analyzing both visual and textual content for compliance and safety risks.
- Exceptional written and verbal English communication skills, with meticulous attention to detail.
- Ability to provide clear, concise, and constructive feedback.
- Comfort working independently and as part of a remote, collaborative team.
- Excellent critical thinking and problem-solving abilities.
Preferred Qualifications
- Experience working with AI or machine learning-driven content moderation tools.
- Background in psychology, communications, or a related discipline.
- Demonstrated passion for digital safety and ethical content evaluation.