Demo

Storage Evaluation Expert - Fully Remote

Mercor
San Francisco, CA Remote Part Time
POSTED ON 5/5/2026
AVAILABLE BEFORE 5/30/2026
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: support@mercor.com


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

Salary : $40 - $60

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