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Contract Software Engineer Remote Jobs in Burlington, MA

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 ...

New

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 ...

New

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 ...

New

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 ...

New

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

Senior Software Engineer (Remote)

Boston, MA · Remote

$125K - $165K/yr

We're poised for rapid growth, and this is the perfect opportunity to join our team and build the future of DevOps! Software engineering @ Architect.io We are seeking a Senior Software Engineer to ...

AI Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

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 ...

New

AI Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

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 ...

New

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Contract Software Engineer Remote information

See Burlington, MA salary details

$69.1K

$160.5K

$223.6K

How much do contract software engineer remote jobs pay per year?

As of Aug 28, 2026, the average yearly pay for contract software engineer remote in Burlington, MA is $160,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,600.00 and $188,200.00 per year, depending on experience, location, and employer.

What does a contract software engineer remote do?

A remote contract software engineer is a professional who designs, develops, tests, and maintains software applications while working remotely, often on a project or time-limited basis. They are typically hired by companies for specific projects or to fill temporary skill gaps, and their work is governed by a contract that outlines the duration, deliverables, and payment terms. These engineers collaborate with teams using online tools, and their responsibilities can include coding, debugging, and participating in virtual meetings to ensure project success.

What are the key skills and qualifications needed to thrive as a contract software engineer remote?

To thrive as a Contract Software Engineer (Remote), you need strong programming skills, experience with software development methodologies, and a relevant degree or equivalent experience. Proficiency with version control systems like Git, cloud platforms (e.g., AWS, Azure), and collaboration tools such as Jira or Slack is typically required. Excellent time management, communication, and self-motivation are standout soft skills for remote work success. These competencies ensure high-quality, timely deliverables and effective remote collaboration across distributed teams.

How do contract software engineers typically integrate with remote development teams?

As a contract software engineer working remotely, you'll often be onboarded quickly and expected to familiarize yourself with the team's tools, workflows, and codebase in a short time. Communication is key—most teams rely on daily stand-ups, regular check-ins, and collaborative platforms like Slack, Jira, or GitHub to keep everyone aligned. You'll likely work alongside full-time engineers, product managers, and designers, contributing to specific projects or milestones with clear deliverables. Proactivity in asking questions and sharing updates helps build trust and ensures smooth collaboration, even when working from different locations and time zones.

How much does a contract software engineer make?

A contract software engineer's pay varies based on experience, location, and project scope, but typically ranges from $50 to $150 per hour. Senior or specialized engineers with in-demand skills like cloud computing or cybersecurity can earn higher rates, especially for remote work with flexible schedules.

What are popular job titles related to Contract Software Engineer Remote jobs in Burlington, MA?

For Contract Software Engineer Remote jobs in Burlington, MA, the most frequently searched job titles are:

What job categories do people searching Contract Software Engineer Remote jobs in Burlington, MA look for?

The top searched job categories for Contract Software Engineer Remote jobs in Burlington, MA are:

What cities near Burlington, MA are hiring for Contract Software Engineer Remote jobs?

Cities near Burlington, MA with the most Contract Software Engineer Remote job openings:

Infographic showing various Contract Software Engineer Remote job openings in Burlington, MA as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $160,525 per year, or $77.2 per hour.

AI Software Engineer - Remote

Boston, MA • Remote

$80 - $120/hr

Full-time

Posted yesterday

New


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.