SQL Annotator

Responsibilities:

• Write advanced SQL queries (using JOINs, CTEs, WINDOW functions, and subqueries) to pull precise training slices from the data warehouse.
• Use SQL string functions (SPLIT) to flatten nested JSON blobs, logs, or free-text fields into tabular rows ready for labeling.
• Apply CASE statements and conditional logic to normalize dirty data before they reach the annotation queue.
• Manually review queried data and assign granular labels.
• Write dynamic SQL rules to automatically pre-label high-confidence data so human annotators only review the ambiguous.
• Build automated SQL audit queries that can scan the annotated dataset daily to flag duplicates, conflicting labels, null values, or out-of-distribution samples before they reach the ML Team.
• Partner with ML Engineers to test proposed annotation guidelines against actual database records.  

Requirements:

• Bachelor’s degree in Computer Science or a related field.
• 5+ years’ experience writing advanced SQL in a professional setting and can be able to identify the difference between INNER JOIN, LEFT JOIN, and LATERAL FLATTEN without Google.
• Experience with annotation tools (Labelbox, Super Annotate) and familiar with Python or R for Data manipulations.
• Ability to spot a missing comma or a mislabeled data point from a mile away and understand the ripple effect it has on model performance.
• Ability to translate technical database structures into plain English annotation guidelines for non-technical team members.

Renumeration: NGN 500,000