Jobs at Odixcity Consulting

Job Summary

• We are seeking an experience senior python Developer to architect, build, and maintain high-performance backend systems and APIs.
• In this role, you will lead technical design decisions, write clean and scalable production code, and mentor junior engineers while collaborating with cross-functional teams to deliver robust software solutions.

Responsibilities

• Review, annotate and evaluate AI-generated SQL responses for correctness, clarity, query logic, joins, syntax, performance, security, and readability.
• Create detailed prompts and reference solutions to guide AI learning on complex data challenges.
• Assess solutions for accuracy, adherence to prompts, and identify errors in methodology, query structure, indexing strategy, or conceptual understanding.
• Deliver clear, constructive feedback and detailed technical explanations to support continuous model improvement.
• Run and validate proof-of-work code, fact check data-related claims, and rate/compared AI responses based on reasoning quality.
• 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

• 7+ years of professional experience working with SQL in production with SQL in production environments as a Database Engineer, SQL Developer, Data Engineer, or similar role.
• Bachelors’ degree or higher in computer science, information systems, Engineering, mathematics, or a related technical field
• Expert-level proficiency in SQL, including complex joins, windows functions, aggregation strategies, query plan analysis, and performance tuning.
• Hands-on experience designing relational data models, schemas, and data warehouse structures (star and snowflake schemas).
• Exceptional written and spoken English (c1 level or higher) with the ability to write clear technical explanations,
• A methodical, systematic approach to evaluating reasoning quality and identifying subtle data or query issues.

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Job Summary

• We are in need of a detailed SQL DATA ANNOTATOR to join our team. In this role, you won’t just be labelling images you will be the critical link between our raw database pipelines and the machine learning models that power our analytics platform.
• You will query complex datasets, identify edge cases, and annotate structured/unstructured data to improve our AI’s natural language understanding (NLU).

Responsibilities

• Write advanced SQL queries (using JOINs, CTEs, WINDOW functions, and subqueries) to pull precise trainings slices from 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 relating 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 (Label box, 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.