AI Training Specialist - SQL Data Expert

Role overview Help improve AI models by annotating and validating training data, with SQL skills used to extract, manipulate, and analyze datasets. The work spans projects in different fields and combines data handling with careful review to ensure reliable inputs for machine learning.

Responsibilities - Annotate and label examples for model training. - Check AI-generated content for accuracy and relevance. - Use SQL to retrieve, transform, and analyze data. - Apply domain insight to support model improvements. - Contribute to AI training projects across multiple subject areas. - Run quality checks to maintain dependable training data.

Requirements - Proficiency in SQL and database management. - Analytical skills and close attention to detail. - Experience with annotation and validation workflows. - Ability to work independently and collaboratively. - Communication skills for reporting and presenting findings.

Nice to have - Familiarity with AI and machine learning concepts. - Experience with data visualization tools. - Background in computer science, data science, or a related field. - Understanding of data privacy and ethical considerations in AI.

Benefits and work setup The role offers hourly compensation, flexible working hours, and opportunities for professional development in a supportive work environment.