Your role will involve reviewing English language content to assess sentiment accuracy, factual consistency, and reasoning quality using structured guidelines.
This position is ideal for individuals with sharp analytical skills, attention to detail, and the ability to consistently apply labeling standards.
Responsibilities
Review and label content for sentiment, factual accuracy, and reasoning issues.
Evaluate model outputs across quality dimensions using scoring frameworks.
Validate automated assessments and identify discrepancies or errors.
Required skills
Advanced English proficiency (reading and writing) with professional-level fluency.
Strong comprehension and articulation skills, with the ability to provide clear and well-reasoned written justifications.
Previous experience in data annotation, AI training, or related projects.
Exceptional attention to detail and accuracy.
Proven analytical reasoning and critical thinking abilities.
Consistency in decision-making across high volumes of tasks.
Preferred skills
Preferred experience in analytical fields such as linguistics, journalism, research, or similar domains.
Familiarity with AI systems, large language models (LLMs), or evaluation processes (preferred but not required).
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
Hiring companyWelo Data
Turing