Software Engineer
Job Description
Careerflow is hiring a Remote Contract Software Engineer to support training and evaluation of next-generation AI systems using real-world software engineering work.
Responsibilities
- Deliver challenging engineering work across backend, full-stack, infrastructure, and systems projects
- Review, debug, improve, and explain code across different technical environments
- Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows
- Assess and document tradeoffs in scalability, maintainability, performance, reliability, security, and developer experience
- Communicate technical reasoning in writing, including why a solution works and what alternatives were considered
- Collaborate with the customer’s team on technical reviews, implementation choices, and problem-solving exercises
- Adapt quickly to new codebases, frameworks, and changing technical requirements
Requirements
- 3+ years of hands-on software engineering experience
- Strong experience in at least one backend or full-stack environment, such as Python, JavaScript/TypeScript, Node.js, Java, C++, Go, or Ruby
- Experience building, maintaining, or reviewing production applications, including APIs, services, databases, or integrations
- Strong grasp of engineering fundamentals: debugging, testing, code quality, architecture, and technical tradeoffs
- Ability to explain complex engineering decisions clearly and objectively
- Comfort reading and reasoning through unfamiliar code or technical requirements
Technologies
- Backend/Programming: Python, JavaScript, TypeScript, Node.js, Java, C++, Go, Ruby
- Cloud: AWS, GCP, Azure
- Frontend: React, Next.js, Angular, Vue, React Native
Job Details
- Job type: Contract
- Hours: Contractor working 10-15 hours per week
- Location: Remote (prefer candidates from the US, Canada, and India)
- Compensation: USD 20 - 75 per hourly
Role Summary
- Help train and evaluate next-generation AI systems through real-world software engineering tasks
- Best fit for engineers who can reason through unfamiliar codebases and explain engineering decisions clearly
- No prior AI experience required; emphasis is on software engineering judgment and clear technical communication
- A Cybersecurity/SecOps background or exposure is highly preferred
Preferred Qualifications
- Experience with cloud environments such as AWS, GCP, or Azure
- Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations
- Experience with frontend frameworks including React, Next.js, Angular, Vue, or React Native
- Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work
- Experience mentoring engineers, reviewing code, or making architecture decisions