Database Engineer - Fully Remote | Up to $2200/task

mercor; India; Remote; Full time

Job summary

Mercor is seeking a Database Systems Evaluation Expert for a remote, contract engagement. You will design self-contained database engineering tasks, build checks for correctness, and evaluate performance metrics such as latency and throughput.

Collaboration with technical reviewers to refine tasks is expected. The role requires 5+ years of hands-on database-internals experience or a database-systems PhD, deep experience with storage engines, query execution, optimization, transactions,

Qualifications

• 5+ 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.

Responsibilities

• Design challenging, self-contained database engineering tasks .
• Build checks for correctness , failure handling , concurrency , retries , and regressions .
• Evaluate performance measures such as latency , throughput , and memory use .
• Write clear grading criteria for engineering judgment .
• Collaborate with technical reviewers to refine and validate tasks.

Skills

Database internals

Storage engines

Query execution

Transactions

Low-latency systems

Education

PhD in database systems

Tools

Python

C/C++

Go

Rust

Java

Job description

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Database Systems Evaluation Expert

Type: Contract

Compensation: $2200 per task

Location: Remote

Role Responsibilities

• Design challenging, self-contained database engineering tasks .
• Build checks for correctness , failure handling , concurrency , retries , and regressions .
• Evaluate performance measures such as latency , throughput , and memory use .
• Write clear grading criteria for engineering judgment .
• Collaborate with technical reviewers to refine and validate tasks.

Qualifications Must-Have

• 5+ 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.

Application Process (Takes 20–30 mins to complete)

• Complete a self-paced technical assessment with recorded verbal responses and a coding exercise.
• 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.