Database Systems Researcher (Research Coding Tasks)

Create self-contained technical coding tasks in database systems and review AI-generated answers. Work with a project lead to keep tasks accurate and meet research standards, focusing on topics close to your research and coding practice.

Assignments come with guidance on their scope and a worked example during onboarding.

• Create research coding tasks in database systems.
• Evaluate AI model outputs and explain your technical judgments.
• Work in areas such as query optimization, storage engines, indexing, or learned database components.

• $50 per hour. An approved task taking about four hours is estimated at approximately $200.
• Asynchronous remote contract work, with a 20+ hours per week time requirement.
• Open to candidates in eligible countries.
• Professional fluency in English.
• Published research in database systems, including at SIGMOD, VLDB, ICDE, CIDR, or comparable venues.
• A completed or in-progress PhD in computer science or a related field.
• Released research code through GitHub or another research artifact, plus strong hands-on coding ability in a database systems research area.
• Ability to assess AI-generated technical work and explain research-quality judgments.
• Helpful experience includes first-author publications, depth in the listed database topics, and familiarity with Docker and reproducible research environments.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training work is the human work behind AI systems: people create examples and review model responses so systems can learn and improve. This role pays for specialized database research and coding judgment used to assess AI outputs.