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Database Systems Evaluation Expert

MercorLegit · not rated yetPosted 20 days ago

Pay: Pay not listed

Who can apply
Open worldwide
Hours
Hours vary · Freelance
Where
Remote, work from home
Job type
Response evaluation
Openings
1 opening

At a glance: A freelance, remote response evaluation job with Mercor. The listing doesn't state pay. People in any country can apply.

What happens after you click Apply

  1. You leave AI Trainer HQ and go to Mercor’s own site.
  2. Upload your résumé on work.mercor.com
  3. Confirm your work authorization
  4. Sit the AI interview, which takes about 20 minutes
  5. Complete any written assessment attached to the listing
  6. On receiving an offer, sign it, configure payouts and verify your identity

Requirements

Qualifications
  • At least five years of hands-on database-engine internals experience, or a database-systems PhD
  • Deep experience with storage engines, query execution, optimization, transactions, replication, or related low-latency systems
  • Strong implementation skills and clear explanations of correctness and performance tradeoffs
  • Experience with Go is preferred
Languages
  • English
Equipment
  • Microphone
  • Webcam

About this job

Applications close Friday, October 16, 2026 at 12:00 p.m. Pacific. We are selecting the first three applicants who qualify for the initial pilot.

About the work

Build real-world tasks that test how well AI agents handle database engineering. Depending on your specialty, your task may cover database-engine implementation, production diagnosis, or application migration.

Each task should include a clear problem statement, a reproducible repository or environment, a working reference solution, tests, and grading criteria that distinguish a robust engineering solution from one that only appears correct.

What you'll do

• Design one challenging, self-contained database engineering task.

• Build checks for correctness, failure handling, concurrency, retries, and regressions where relevant.

• Evaluate performance measures such as latency, throughput, and memory use.

• Write clear grading criteria for engineering judgment.

• Work with technical reviewers to refine and validate the task.

Who we're looking for

• At least five years of hands-on database-engine internals experience, or a database-systems PhD.

• Deep experience with storage engines, query execution, optimization, transactions, replication, or related low-latency systems.

• Strong implementation skills and clear explanations of correctness and performance tradeoffs.

• Experience with Go is preferred.

DBA, SQL analytics, ETL, or application-only database experience does not qualify on its own. You do not need to specialize in every task area.

Application process

Complete a self-paced technical assessment with written responses and a coding exercise. You control when to advance between sections. (~35 min)

Use a laptop or desktop with a camera, microphone, and entire-screen sharing. Have your own editor and terminal ready, along with Python 3.8+ and a compiler for C, C++, Rust, Go, or Java. The assessment includes a starter kit and public tests. Complete the assessment independently, without outside AI assistance.

Please apply as soon as possible. We will select the first three qualifying applicants. If the pilot fills, completed assessments may be considered for future work if the project expands.

Paid task after selection

Selected experts will complete one task, with approximately 25 hours of work, followed by technical review and feedback.

Task deadline: Friday, October 30, 2026.

Listing history

First seen on our board
(9 days ago)
Posted by Mercor
(20 days ago)
Last checked
Source
Mercor

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