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Remote Mastercard Software Engineer Jobs (NOW HIRING)

YO AI Labs

AI Software 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 ...

YO AI Labs

AI Software Engineer - Remote

Austin, TX · 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 ...

YO AI Labs

AI Software Engineer - Remote

New York, NY · 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 ...

YO AI Labs

AI Software 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 ...

YO AI Labs

AI Software Engineer - Remote

Palo Alto, CA · 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 ...

BridgePoint Works

Software Engineer

Houston, TX · Remote

$60 - $75/hr

Software Engineer (Remote USA) | $60-$75 per Hour Do You Want to Build Software That Shapes the Future? At Bridgepoint Works , we're not just about concrete and steel were about cutting-edge ...

YO AI Labs

AI Software Engineer - Remote

Los Angeles, CA · 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 ...

YO AI Labs

AI Software Engineer - Remote

Atlanta, GA · 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 ...

YO AI Labs

AI Software Engineer - Remote

San Jose, CA · 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 ...

YO AI Labs

AI Software Engineer Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical ...

YO AI Labs

AI Software Engineer Expert - Remote

Miami, FL · Remote

$100 - $200/hr

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical ...

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Remote Mastercard Software Engineer information

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$63.5K

$147.5K

$205.5K

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

As of Sep 10, 2026, the average yearly pay for remote mastercard software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a remote Mastercard software engineer do?

A Remote Mastercard Software Engineer designs, develops, and maintains software solutions for Mastercard from a remote location. They typically work on applications related to payment processing, security, and digital transactions, ensuring reliability and compliance with industry standards. Their responsibilities include coding, testing, debugging, and collaborating with global teams to deliver scalable and secure products. Remote engineers use communication tools to stay connected with colleagues and participate in agile development cycles. This role may also involve troubleshooting technical issues and implementing new features based on business requirements.

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

To thrive as a Remote Mastercard Software Engineer, you need strong programming skills (such as Java, C++, or Python), a solid understanding of software development lifecycles, and a relevant degree in computer science or a related field. Familiarity with Mastercard's payment processing platforms, cloud services (like AWS or Azure), and industry certifications (such as AWS Certified Developer or Secure Software Practitioner) are commonly required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for effective remote collaboration and innovation. These skills and qualifications ensure secure, reliable, and scalable payment solutions while enabling seamless teamwork across distributed teams.

How does collaboration work for a remote Mastercard software engineer, and what tools are commonly used to stay connected with the team?

As a Remote Mastercard Software Engineer, you’ll collaborate closely with cross-functional teams including product managers, QA specialists, and other engineers through virtual platforms. Most teams rely on tools like Slack or Microsoft Teams for instant communication, Jira or Trello for task management, and GitHub or Bitbucket for code collaboration. Regular video meetings, code reviews, and pair programming sessions ensure alignment and foster teamwork despite the physical distance. Expect a structured yet flexible work environment that values both independent productivity and strong team connectivity.

What is the difference between Remote Mastercard Software Engineer vs Remote Visa Software Engineer?

AspectRemote Mastercard Software EngineerRemote Visa Software Engineer
Required CredentialsBachelor's in Computer Science, relevant coding skills, industry certificationsBachelor's in Computer Science, relevant coding skills, industry certifications
Work EnvironmentRemote, collaborative teams within financial servicesRemote, collaborative teams within financial services
Employer & Industry UsageMajor payment network, financial technologyMajor payment network, financial technology
Common Search & ComparisonYesYes

The Remote Mastercard Software Engineer and Remote Visa Software Engineer roles share similar credentials, work environments, and industry usage, focusing on payment processing and financial technology. The main difference lies in the specific payment network they support—Mastercard versus Visa—each with unique systems and protocols. Both roles are ideal for software engineers seeking remote opportunities in the financial services sector, with comparable skills and responsibilities.

More about Remote Mastercard Software Engineer jobs

What cities are hiring for Remote Mastercard Software Engineer jobs?

Cities with the most Remote Mastercard Software Engineer job openings:

What are the most commonly searched types of Mastercard Software Engineer jobs?

The most popular types of Mastercard Software Engineer jobs are:

What states have the most Remote Mastercard Software Engineer jobs?

States with the most job openings for Remote Mastercard Software Engineer jobs include:

What are popular job titles related to Remote Mastercard Software Engineer jobs?

For Remote Mastercard Software Engineer jobs, the most frequently searched job titles are:

Remote Mastercard Software Engineer jobs near you
Infographic showing various Remote Mastercard Software Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

AI Software Engineer - Remote

Boston, MA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 14 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.