Software Engineer

Remotebridge; United States; Remote; USD 8,266,000 - 13,776,000; Full time

Job summary

Remotebridge is seeking a Software Engineer contractor to contribute to a customer-focused project that refines development workflows and automation. You will help train AI systems with high-quality inputs, applying your domain expertise to real-world tasks while collaborating with a distributed team.

The role emphasizes hands-on testing, reproducible environments, and robust integration work, all while maintaining strong written and verbal English communication.

Qualifications

• 3+ years in software engineering with Git/GitHub workflows, PRs, code review, and CI log diagnostics.
• Proficient with CI/CD systems, ideally GitHub Actions, with custom workflows.
• Familiar with Claude and ChatGPT connectors.
• Advanced scripting in Python or Bash; automating environment setup.
• Experience with REST APIs, OAuth, and webhooks.
• Experience with Slack, Google Workspace, or Microsoft 365.
• Experience using AI assistants or agent tools in developer tasks.
• Background in QA, evaluation, or data annotation.
• Strong English communication.

Responsibilities

• Execute structured evaluation assignments simulating developer activities incl. VCS, code review, issue tracking, and CI/CD workflows with AI tools.
• Assess and grade technical correctness of outputs by hands-on verification in relevant environments.
• Design seed and maintain reproducible test environments with real commit histories and CI workflows.
• Configure and troubleshoot integrations and authentication flows across multiple services.
• Investigate undocumented product behaviors through hands-on exploration and testing.
• Participate in calibration sessions to ensure consistent evaluation methods.

Skills

Git/GitHub workflows

GitHub Actions

Python

Bash

REST APIs

OAuth

Webhooks

CI/CD pipelines

Claude/ChatGPT connectors

Agent tools

QA/Evaluation

English communication

CI/CD

Job description

Role Title: Software Engineer

Role Type: Contractor

Location: Remote

Our team is engaging Software Engineers to contribute their technical expertise to a customer-centric project focused on enhancing development workflows and process automation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.

Scope of Work

• Execute structured evaluation assignments that simulate authentic developer activities, including version control, code review, issue tracking, and CI/CD workflow execution utilizing AI-powered tools.
• Assess and grade the technical correctness of outputs, verifying results hands-on within relevant development environments and tools.
• Design, seed, and maintain reproducible test environments - such as code repositories with real commit histories and CI workflows to ensure reliable and realistic task contexts.
• Configure, document, and troubleshoot integrations and authentication flows across multiple software services, ensuring seamless connectivity.
• Investigate and document undocumented product behaviors through hands-on exploration and systematic testing.
• Participate in calibration sessions to ensure consistent evaluation methods and grading across the contributor group.

Preferred Qualifications

• Minimum of 3 years of professional experience in software engineering, demonstrating strong command of Git/GitHub workflows (pull requests, code review, branching, analyzing diffs, CI log diagnostics).
• Proficient with CI/CD systems - ideally GitHub Actions - including authoring custom workflows and ensuring reproducible build processes.
• Versed in using connectors across Claude and ChatGPT.
• Advanced scripting abilities in Python or Bash, with comfort in automating environment setup and reset tasks; solid understanding of REST APIs, OAuth, and webhook integrations.
• Fluency with major enterprise SaaS platforms such as Slack, Google Workspace, or Microsoft 365; administrative experience in cloud workspaces is advantageous.
• Experience leveraging AI assistants or agent tools in everyday developer tasks; any familiarity with agent tool-calling or the Model Context Protocol (MCP) is a plus.
• Background in technical QA, evaluation, or data annotation - demonstrating consistency in applying rubrics and identifying nuanced edge cases.
• Exceptional attention to detail, disciplined adherence to defined processes, and outstanding written and verbal communication in English.