7 hours ago

Technology Professional

Mercor

Hybrid
Part Time
$160,000
Hybrid

Job Overview

Job TitleTechnology Professional
Job TypePart Time
Offered Salary$160,000
LocationHybrid

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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.

This role as a Technology Professional is offered on a contract basis, with compensation ranging from $40–$80/hour and a commitment of 10–40 hours/week.

Role Responsibilities

  • Author realistic technology prompts in software engineering, IT, systems architecture, cybersecurity, data systems, networking, and cloud infrastructure.
  • Review and revise AI-generated responses for technical accuracy, feasibility, clarity, and adherence to industry best practices.
  • Write high-quality human-authored “gold” responses for complex debugging scenarios, architectural trade-offs, or implementation challenges.
  • Create controlled prompt variations to test subtle differences in constraints, environments, performance requirements, or system assumptions.
  • Evaluate outputs across different tones and instruction constraints.
  • Identify model failure cases involving logical errors, incorrect implementation details, security oversights, or unrealistic system designs.

Qualifications

Must-Have
  • Degree in Computer Science, Engineering, Information Technology, or a closely related field (or equivalent professional experience).
  • 2+ years of professional work experience in software development, systems engineering, IT, cybersecurity, data engineering, or a related technology role.
  • Active professional familiarity with technology practice in at least one of the following languages: Japanese, Chinese, Korean, Spanish, Russian, German, Arabic, Thai, Tamil, or Hindi.
  • Strong understanding of industry standards, development workflows, and technical documentation practices within your linguistic and cultural context.
  • Excellent analytical and written communication skills in the target language.
  • Ability to exercise careful, technically rigorous editorial judgment.

Application Process

The application process is designed to take 20–30 minutes to complete:

  • Submit your resume to get started.
  • Complete a short form outlining your technical background, areas of specialization, and language proficiency.

Our team aims to follow up within a few days with next steps.

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome

For any help or support, reach out to: support@mercor.com

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

Key skills/competency

  • Prompt Engineering
  • AI Content Review
  • Technical Accuracy
  • Debugging Scenarios
  • Systems Architecture
  • Cybersecurity Expertise
  • Data Engineering
  • Cloud Infrastructure
  • Linguistic Proficiency
  • Analytical Judgment

Tags:

Technology Professional
Prompt Engineering
AI Content Review
Technical Accuracy
Debugging Scenarios
Systems Architecture
Cybersecurity
Data Engineering
Cloud Infrastructure
Linguistic Proficiency
Software Development
IT Operations
Networking
AI Models
Industry Standards
Technical Documentation
Contract Role
Remote Work
Analytical Skills
Editorial Judgment

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How to Get Hired at Mercor

  • Research Mercor's mission: Study their commitment to connecting talent with leading AI research labs and their investor backing.
  • Tailor your resume: Highlight your 2+ years of experience in software development, IT, cybersecurity, or data engineering.
  • Showcase linguistic expertise: Emphasize active professional familiarity in a specified target language and cultural context.
  • Prepare for technical judgment: Be ready to discuss your ability to review AI outputs for accuracy, feasibility, and best practices.
  • Demonstrate analytical communication: Practice articulating complex technical concepts clearly and identifying detailed model failure cases.

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