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Cloud Storage Management Specialist

Job summary

San Francisco
Engineering

Work model

Fully remote
Only US
1 month ago
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

Cloud Storage Management Expert

Type

Contract

Compensation

$40--$60/hour

Location

Remote

Role Responsibilities

  • Evaluate user journeys across migration options to ensure agent response completeness and accuracy.
  • Assess agent guidance on trade-offs between online and offline transfer methods, including Cloud Interconnect ROI analysis.
  • Execute simulations and dry-run migration user journeys to identify potential migration failures.
  • Initiate actual transfer operations via agent interfaces and assess operational reliability.
  • Evaluate agent-generated progress tracking, outcome reporting, and variance analysis against migration plans.
  • Simulate realistic storage traffic in test projects to create representative evaluation conditions.
  • Invoke AI Agents with natural language queries and provide expert-level feedback on outcomes.
  • Calibrate offline scoring mechanisms using evaluation findings to improve automated assessment accuracy.

Qualifications

Must-Have

  • Storage administration experience with cloud storage concepts and enterprise storage management practices.
  • Familiarity with cloud storage platforms (AWS S3, GCS, Azure).
  • Hands-on experience with data migration, including online/offline transfer methods.
  • Ability to evaluate AI/LLM-generated recommendations from a practitioner's perspective.
  • Strong written communication skills for documenting evaluation findings.
  • Comfortable working with natural language interfaces and conversational AI tools.

Preferred

  • Background in storage performance analysis, security auditing, or storage intelligence/analytics.
  • Prior experience in QA, evaluation, or red-teaming of AI/ML systems.
  • Familiarity with MCP (Model Context Protocol) or agentic AI frameworks.

Application Process (Takes 20--30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.