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Home Based Rust Backend Developer Jobs in Trenton, NJ

Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ... Compensation Compensation is output-based , with payment provided per task that meets project ...

Back-End Engineer

Philadelphia, PA · On-site

$75K - $125K/yr

The Back-End Engineer will work with a modern tech stack to build and enhance software that directly supports Condition-Based Maintenance (CBM) methodologies for vital naval equipment. LOCATION:

Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ... Compensation Compensation is output-based , with payment provided per task that meets project ...

Sr. Software Engineer

Princeton, NJ

$129K - $170K/yr

Design, develop, and maintain backend services in Java and Rust. * Collaborate with cross ... Integrate with CI/CD pipelines and cloud-based deployment systems.

Sr. Software Engineer

Princeton, NJ · On-site

$129K - $170K/yr

Design, develop, and maintain backend services in Java and Rust. * Collaborate with cross ... Integrate with CI/CD pipelines and cloud-based deployment systems.

Good knowledge of OAUTH/OIDC - token based authentication protocol. * Experience of automating Kong API gateway configurations as part of DevOps pipeline.

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Home Based Rust Backend Developer information

See Trenton, NJ salary details

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How much do home based rust backend developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for home based rust backend developer in Trenton, NJ is $57.89, according to ZipRecruiter salary data. Most workers in this role earn between $47.50 and $68.46 per hour, depending on experience, location, and employer.

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Infographic showing various Home Based Rust Backend Developer job openings in Trenton, NJ as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $120,417 per year, or $57.9 per hour.

Backend Developer - Remote

YO AI Labs

Philadelphia, PA • Remote

$80 - $120/hr

Full-time

Posted 12 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.