SQL Developer for AI Data Training
$25 - $60 per hourSaidGig
This position offers an exciting opportunity to leverage your SQL expertise in shaping the future of AI systems. As a SQL Developer, you will play a crucial role in designing and optimizing data solutions that enhance the training of next-generation AI models. Your contributions will directly impact how these models learn and perform, utilizing your domain knowledge to provide high-quality, real-world input.
Key Responsibilities- Design, develop, and optimize complex SQL queries to support AI data training pipelines and analytics.
- Collaborate with AI engineers and data scientists to understand data requirements and implement effective data solutions.
- Analyze large datasets, extract insights, and ensure data integrity for machine learning workflows.
- Implement and maintain database structures to facilitate efficient data processing and retrieval.
- Document processes and write clear technical and user-facing documentation for SQL workflows.
- Participate in code reviews, troubleshooting, and performance tuning of SQL scripts and stored procedures.
- Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
- Minimum 4 years of hands-on experience as an SQL Developer, with a track record of delivering high-quality database solutions.
- Deep expertise in writing, optimizing, and troubleshooting advanced SQL queries and stored procedures.
- Strong knowledge of data modeling, normalization, and relational database design principles.
- Exceptional written and verbal communication skills, with the ability to explain complex technical concepts succinctly.
- Experience working in remote, cross-functional teams and collaborating with diverse stakeholders.
- Demonstrated ability to work independently and proactively within fast-paced, evolving project requirements.
- Keen attention to detail and a passion for data-driven problem solving.
- Experience supporting AI or machine learning data pipelines or similar data-driven projects.
- Background in AI training data curation or annotation workflows.
- Familiarity with cloud-based database solutions and data engineering tools.
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