
Data collector(UK, Birmingham) IRC267908
- Birmingham
- Permanent
- Full-time
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related field.
- 3–8 years of hands-on experience in data analysis, ideally within AI/ML or data labeling environments.
- Proficient in SQL and Python for data manipulation, analysis, and process automation.
- Solid understanding of data labeling workflows and evaluation metrics (e.g., accuracy, precision, recall, inter-rater agreement).
- Strong analytical and problem-solving skills with the ability to interpret large datasets and generate actionable insights.
- Excellent communication skills, capable of presenting findings to both technical and non-technical stakeholders.
- Analyze large datasets (labeled & unlabeled) to identify trends, anomalies, and labeling patterns to improve model performance and operational efficiency.
- Design and maintain automated dashboards and reporting tools to track labeling quality, throughput, and trends.
- Work closely with Client leadership to understand data needs and deliver actionable insights for model optimization.
- Build and maintain scalable data pipelines for validation, aggregation, and visualization.
- Apply data mining techniques to assess annotation consistency and inter-rater reliability.
- Support AI data evaluation strategies through experimentation and iterative feedback.
- Collaborate with cross-functional teams to improve annotation workflows and ensure metrics alignment.