12 days ago

Software Engineer

Keystone Recruitment

Hybrid
Contractor
$104,000
Hybrid

Job Overview

Job TitleSoftware Engineer
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$104,000
LocationHybrid

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Job Description

About the Software Engineer Role

This is a remote, part-time contract role at Keystone Recruitment. The Software Engineer will validate AI-generated code, refine technical prompts, and benchmark algorithms for top AI research labs worldwide.

Key Responsibilities

  • Review AI-generated code, prompts, and responses for technical accuracy.
  • Validate algorithms and software concepts across multiple programming languages.
  • Provide detailed feedback on solution quality, clarity, and feasibility.
  • Organize content by topic, difficulty level, and programming language proficiency.
  • Support model benchmarking to assess technical capabilities and limitations.

Essential Qualifications

  • 2+ years of software engineering, technical research, or content development experience.
  • Bachelor's degree in Software Engineering, Computer Science, or related field.
  • Strong proficiency in Python, JavaScript, Java, C++, or equivalent languages.
  • Proven debugging, testing, and code validation experience.
  • Excellent technical writing with attention to implementation detail.

Project Details

  • Immediate start with a duration of 1-2 months.
  • Commitment of 15-25 hours/week, flexible up to 40 hours.
  • Remote work on a platform with clear evaluation guidelines.
  • Onboarding includes resume submission and a 15-minute AI interview.

Key skills/competency

Software Engineering, AI, Code Review, Algorithms, Python, JavaScript, Debugging, Remote, Technical Writing, Benchmarking

Tags:

software engineer
AI
code review
algorithms
Python
JavaScript
debugging
testing
technical writing
remote

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How to Get Hired at Keystone Recruitment

  • Research Keystone Recruitment's culture: Study their mission and recent AI projects.
  • Customize your resume: Highlight software engineering and AI validation skills.
  • Prepare for technical tests: Practice multi-language debugging and algorithm review.
  • Showcase your remote work experience: Emphasize self-management and flexibility.

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