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Engineering Contract Remote

Software Engineer - Backend - Remote.

Experienced Backend Software Engineer needed for AI training project, proficient in Python, Java, or C++ with strong debugging and optimization skills.

Compensation

$50–$100

hourly · USD

Experience

1–20 yrs

Location

Remote

APAC

The Brief

TITLE

Software Engineer - Backend - Remote

TEAM

Engineering

TYPE

Contract

POSTED

Nov 11, 2026

JOB ID

01a1cb21

Python Java Rust Go C++ Typescript Algorithms Data Structures Debugging Performance Optimization Technical Documentation Communication

Software Engineer - Backend - Remote

Location: Global, Fully Remote
Employment Type: Contractor
Time Commitment: Approximately 15 hours per week
Annualized Compensation: $96,000–$192,000
Hourly Rate: $50–$100
Payment Structure: Per Approved Task

ABOUT THE ROLE

We are seeking experienced Backend Software Engineers to support an AI training project focused on building reinforcement learning environments that test AI models against real-world software engineering challenges.

You will develop coding tasks based on existing repositories, create reproducible environments, build automated verifiers, and provide reference solutions. Tasks will cover complex debugging, feature development, code refactoring, and performance optimization.

KEY RESPONSIBILITIES

  • Create challenging coding tasks based on real software repositories.

  • Design problems involving complex bugs, non-trivial features, and performance improvements.

  • Build reproducible environments for each task.

  • Develop deterministic verifiers that accept valid implementations and reject incorrect, incomplete, or hard-coded solutions.

  • Provide reference solutions demonstrating correct approaches.

  • Identify and flag ambiguous or unverifiable tasks.

REQUIRED QUALIFICATIONS

  • Strong hands-on experience in at least one of Python, Java, Rust, Go, C++, or TypeScript.

  • Deep understanding of algorithms, data structures, and software engineering principles.

  • Proven ability to debug complex systems and optimize software performance.

  • Experience with feature development, codebase refactoring, or legacy system modernization.

  • Strong technical documentation and communication skills.

ENGAGEMENT DETAILS

  • Approximately 15 hours per week with flexible scheduling.

  • Estimated task duration: 5 hours for trainers and 1.5 hours for reviewers.

  • Project-based contractor engagement.

  • Selected candidates should be ready to begin within 24–48 hours after onboarding.

APPLICATION PROCESS

  1. Submit an application and complete screening questions.

  2. Complete an AI interview.

  3. Undergo profile review.

  4. Complete onboarding with the Talent Operations team.

COMPENSATION

$50–$100 per hour equivalent, with payment based on approved tasks meeting project specifications. Actual earnings depend on task availability, complexity, and completion time.

Annualized equivalent: $96,000–$192,000, based on 40 hours per week and 48 working weeks per year.

Annualized compensation is an illustrative equivalent based on 40 hours/week × 48 weeks/year. Actual earnings depend on hours worked, project availability, and approved work.

About the company

Recruitment Room is a global workforce solutions company helping businesses build, manage, and scale distributed teams across international markets. We partner with startups, scale-ups, SMEs, and enterprise organizations to deliver end-to-end workforce solutions that support business growth, operational efficiency, and global expansion.

Our services extend beyond talent acquisition to include Employer of Record (EOR), Contractor of Record (COR), contractor management, global payroll, HRIS, workforce strategy, recruitment process outsourcing (RPO), executive search, and AI-powered talent intelligence. By combining human expertise with intelligent technology, we simplify the complexities of hiring, employing, and managing talent across borders.

For professionals, Recruitment Room provides access to career opportunities with innovative employers worldwide while supporting long-term career growth through our global talent ecosystem.