Human Data Quality Analyst, AI Business

What you'll do

• Measure quality across live programmes and investigate patterns, causes, and impact of quality issues.
• Help build reliable data-quality validations and automated systems, including rule-based, LLM, and ML-assisted approaches.
• Report findings and support programme design, quality controls, and improvements to annotation and training processes.

What they ask for

• Practical experience analyzing real data in an analytical, quality, research, or data-focused role.
• Ability to use SQL and Python for queries and analysis.
• Ability to apply statistical concepts such as sampling, distributions, and variability.
• Ability to explain evidence clearly with concrete examples and practical recommendations.

Nice to have

• Experience with human-produced or human-judged data, such as annotation, data labelling, research coding, content review, or survey research.
• Knowledge of psychology, behavioural science, linguistics, human-data uses in model training and evaluation, or data visualisations and dashboards.

Tools

SQL, Python, LLM, ML

AI focus

Supports AI model training and evaluation by analyzing human data quality and building quality controls, including rule-based, LLM, and ML-assisted approaches.