Database Systems Evaluation Expert

$2200/task

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Location not stated
Field: STEM and Coding

Design a self-contained task that tests an AI agent on database-engine implementation, production diagnosis, or application migration. Deliver a reproducible environment, reference solution, tests, performance checks, and grading criteria that expose superficially correct solutions.

The work

You will design one challenging database engineering task grounded in real implementation work. Day-to-day activities include creating a reproducible repository or environment, implementing the reference solution, writing tests for correctness and relevant failure modes, measuring performance, and refining the task with technical reviewers.

What the screen measures

The self-paced assessment uses recorded verbal responses and a coding exercise to verify database-systems depth rather than general SQL knowledge. Expect follow-up on concrete implementation decisions involving storage engines, query execution, optimization, transactions, replication, retries, concurrency, or other low-latency systems, as well as how you distinguish genuine correctness from a solution that only passes simple tests.

Practical setup

The role is structured for remote delivery. The assessment takes about 25 minutes and requires a laptop or desktop with a camera, microphone, entire-screen sharing, your own editor and terminal, Python 3.8+, and a compiler for C, C++, Rust, Go, or Java. It must be completed independently without outside AI assistance.

Timing and selection

Applications close Friday, October 9, 2026 at 12:00 p.m. Pacific, and the first three qualifying applicants will be selected for the initial pilot. The selected expert will complete one task requiring approximately 25 hours, with delivery due Tuesday, October 13, 2026, followed by technical review and feedback.

Pay band: $2200/task

What they look for

Database-engine internals implementation
Storage engines, query execution, optimization, transactions, or replication
Systems programming and debugging
Concurrency, retry, and failure-mode testing
Latency, throughput, and memory measurement
Technical rubric and reference-solution design

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your background reaches engine-level implementation and whether your claimed contribution can be separated from DBA, analytics, ETL, or application integration work.
A strong answer: Anchor the answer in one specific system, subsystem, codebase, and period of work. Identify the components you personally changed, the invariants involved, how the changes were tested, and a measurable production or benchmark result.
Where people lose it: Candidates lose points by describing schema design, query writing, or operational ownership without identifying engine code or low-level systems behavior they implemented.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

STEM AND CODING on Sidequest

What stem and coding AI work pays

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