Collaborate with leading AI labs to improve agentic tool use workflows. Contribute to advanced AI applications with strong SQL proficiency. Flexible, remote work environment.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Role Overview
Collaborating with leading AI labs to engage experienced Data Analysts and Data Scientists with strong SQL proficiency. In this project-based engagement, you will contribute to improving agentic tool use workflows that power advanced AI applications. This opportunity is ideal for professionals who are interested in working at the frontier of AI in a flexible, remote environment. Engagements may be short-term or ongoing depending on project needs.
Key Responsibilities
- Create realistic workflows that involve SQL manipulation of datasets from your day to day roles.
- Validate and reason through the ideal solutions of solving these tasks.
- Review and validate AI model’s tool use capabilities (no prior tool use experience required) related to your workflow.
- Evaluate data quality and implement validation checks
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- 3+ years of experience in data analysis, data science, or a related quantitative field
- Advanced proficiency in SQL (e.g., window functions, CTEs, query optimization, joins across large datasets)
- Experience working with relational databases such as PostgreSQL, MySQL, Snowflake, BigQuery, or similar
- Strong analytical thinking and attention to detail
- Degree in Computer Science, Statistics, Mathematics, Economics, or a related field is a plus
- Submit your resume or LinkedIn profile highlighting SQL and data experience
- Complete a brief skills assessment focused on SQL proficiency
- Selected applicants may be invited to complete a short project-based evaluation
- Qualified candidates can expect follow-up within a few days regarding next steps
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Contract and Payment Terms
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects can be extended, shortened, or concluded early depending on needs and performance.
- Payments are weekly on Stripe or Wise based on services rendered.
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