Remote | Sr. Full-Stack Software Engineer — $50–$100/hour

We are sharing a specialised consulting opportunity for experienced Full-Stack Software Engineers with strong expertise across front-end and back-end development, application architecture, debugging, APIs, databases, service integration, and multi-language software engineering to contribute to an advanced AI training and software-evaluation project.

Selected professionals will create, solve, review, and validate challenging software-engineering tasks across complete application stacks. The work requires hands-on experience across both front-end and back-end systems, strong debugging skills, and the ability to navigate unfamiliar repositories and evaluate code for correctness, performance, security, and maintainability.

Key Responsibilities

Full-Stack Development & Integration

• Develop and modify front-end and back-end application components
• Build user-facing features, APIs, services, and supporting data models
• Work across browser applications, databases, external integrations, and service layers
• Manage application state, authentication, persistence, and client-server interactions
• Implement changes that fit existing architecture and coding conventions

Debugging & Architecture

• Diagnose failures involving application state, APIs, networking, authentication, databases, and deployment
• Trace requests and data across system boundaries to identify root causes
• Work effectively within unfamiliar repositories and understand existing architecture
• Evaluate architectural fit, system dependencies, and implementation trade-offs
• Develop technically sound and maintainable fixes

Multi-Language Engineering & Testing

• Review and modify code across Python, JavaScript, TypeScript, Java, Node.js, Rust, Go, or comparable technologies
• Translate software implementations between languages where required
• Preserve intended behaviour and architectural constraints
• Develop or review unit, integration, regression, and end-to-end tests
• Validate fixes and identify missing test coverage

AI-Generated Code Evaluation

• Review AI-generated solutions for correctness, completeness, performance, security, and maintainability
• Identify implementation or architectural weaknesses
• Assess whether solutions fit repository conventions
• Provide structured technical feedback
• Document important engineering decisions and findings clearly

Ideal Profile

• Strong professional experience developing production full-stack applications
• Meaningful hands-on experience with both front-end and back-end engineering
• Production experience with multiple programming languages
• Strong knowledge of browser applications, APIs, databases, application state, and service integration
• Experience contributing to complete software-system architecture
• Ability to work effectively in unfamiliar codebases
• Strong debugging and technical problem-solving skills
• Experience with Python, JavaScript, TypeScript, Java, Node.js, Rust, Go, or comparable languages
• React experience is valuable
• Ability to evaluate code for correctness, security, performance, and maintainability
• Experience translating implementations between programming languages is advantageous
• No prior AI-training or model-evaluation experience is required

Engagement Details

• Part-time independent contractor engagement
• Fully remote and open globally
• Expected commitment: approximately 15 hours per week
• Flexible schedule; contributors may choose their working hours and days, including weekends, provided there is regular activity
• Displayed compensation range: $50–$100/hour
• Actual compensation structure is output-based, with payment made per task that meets project specifications
• Task completion time may vary depending on experience and workflow
• Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
• Work will involve full-stack development, APIs, databases, debugging, architecture, testing, multi-language engineering, and AI-generated code evaluation
• Roles are typically filled within approximately 48 hours
• Selected experts are expected to begin initial tasks within approximately 24–48 hours after onboarding
• Project scope, repositories, languages, and evaluation standards may evolve depending on project requirements
• Work must be completed without using confidential or proprietary information belonging to any employer, client, private repository, software organisation, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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