Data Accuracy Specialist
Skills
Analytical SkillsCreativeCritical ThinkingData AnalysisData EntryData QualityEnglish
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Exceptional communication skills
- Excellent analytical and critical thinking skills
- Strong organizational skills
- Effective problem-solving abilities
- Experience with large language models (LLMs) is a plus
- Basic understanding of data analysis and AI models is a plus
- Basic understanding of data concepts and data entry procedures
- Ability to follow guidelines and instructions accurately
- Openness to learning and adapting to evolving data quality standards
- Previous experience in data quality assessment or related field is a plus
- Knowledge of industry standards or terminology related to data quality is advantageous
- Comfortable working with data and relevant software/tools
- No previous experience or training required, training will be provided
Day to day
- Evaluate and rate quality of various data types based on predefined guidelines and criteria
- Analyze responses of models, perform data and app testing to ensure accuracy
- Detect and correct data errors, inconsistencies, and inaccuracies
Hiring process
- Not specified. May include training sessions and meetings