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SQL Developer

Technology
micro1
EMEA, United States2 months ago
Service contractOn-site

Job description

Role Title: SQL Developer

Role Type: Contractor

Location: Remote

Hourly Rate: 30$ - 90$

micro1 is engaging SQL Developers to contribute their expertise to a customer-focused project involving complex data-driven tasks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for those passionate about translating advanced SQL skills into impactful project outcomes while collaborating remotely with a diverse team of professionals.

Scope of Work

  • Analyze and interpret complex datasets to support AI training activities and project objectives.
  • Design, develop, and optimize SQL queries, procedures, and scripts to process structured data efficiently.
  • Review, validate, and cleanse datasets to ensure quality, accuracy, and relevance for machine learning applications.
  • Document SQL logic, data flows, and query performance considerations to provide clear guidance for downstream AI processes.
  • Collaborate with technical stakeholders to understand data requirements and translate them into robust SQL solutions.
  • Provide feedback on data schema improvements and contribute to best practices for data handling within the project scope.
Preferred Qualifications
  • Minimum of 4 years of hands-on experience as an SQL Developer or in a closely related data-focused capacity.
  • Proven track record in designing, writing, and optimizing complex SQL queries and database objects.
  • Strong analytical mindset and attention to detail when working with large, multifaceted datasets.
  • Exceptional written and verbal communication skills for clear documentation and effective remote collaboration.
  • Experience working on remote or distributed projects in a contributor or consulting capacity.
  • Familiarity with data quality assurance methods and best practices in data preparation.
  • Domain expertise in SQL-driven environments, with a passion for leveraging data to solve real-world problems.
Keywords
sqlexternal-workforceartificial-intelligencetraining-certificationeducation-trainingtraining-and-developmentobjectives-and-key-resultsplanning-and-designvisual-art-designproduct-development-and-designmachine-learningpolicies-and-practicesdata-qualityquality-assurancedata-preparationdomain-expertise

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