The AI Data Quality Specialist plays a key role in enhancing the reliability of large language models by reviewing and assessing English-language content. You will analyze model-generated text for sentiment alignment, factual correctness, and logical coherence, applying standardized evaluation criteria to ensure high-quality outputs.
Key Responsibilities
- Examine and classify content based on sentiment, factual integrity, and reasoning soundness.
- Apply scoring systems to judge the quality of AI-generated responses across multiple dimensions.
- Review automated evaluations to detect inconsistencies and correct errors with precision.
Qualifications
You should have strong command of written English, with the ability to interpret nuances in meaning and express clear, logical feedback. Experience in data labeling, AI model training, or similar technical content review is essential.
- Fluency in English with professional-level reading and writing skills.
- Proven ability to analyze content critically and justify assessments with clarity.
- High accuracy and consistency when processing repetitive tasks at scale.
- Background in linguistics, journalism, research, or analytical writing is a plus.
- Familiarity with AI evaluation methods or large language models is beneficial but not required.
