Remote Domain Expert Reviewer - TV Shows & Movies

Review and validate domain-specific prompts covering TV shows, films, actors, directors, genres, streaming platforms, entertainment history, and related topics. Evaluate completed tasks for factual accuracy, reasoning quality, and guideline compliance. Identify factual errors, inconsistencies, hallucinations, and low-quality annotations, then provide clear, constructive, and evidence-based feedback to maintain high annotation standards. Ensure consistency by following established quality standards and review guidelines, while escalating ambiguous or complex cases and documenting findings. Collaborate with project managers and AI teams to continuously improve evaluation quality and review processes. Requires a Master's degree or higher with 3+ years of experience in entertainment journalism or related fields, plus strong knowledge of movies and television. Commitments include 40 hours per week with 4 hours PST overlap. This 8-week contractor assignment supports Turing's frontier AI labs by ensuring reliable, high-quality data for LLM evaluation projects.