Umsebenzi
Kusuka ekudleni kwabalingani
Full-Stack Engineer
Intengo iyacelwa
Imininingwane
- Uhlobo lomsebenzi
- Isikhathi esigcwele
- Kude
- Yebo
- Inkampani
- OpenTrain AI
Incazelo
Headquarters: United States
URL: https://opentrain.ai/
Full-Stack Engineer, Part-Time AI Code Evaluation - Remote (United States)
• $50–$100 per hour equivalent, paid per accepted task
• 100% remote
• Part-time
• Under 20 hours a week, you choose when
Work on AI code evaluation on your own schedule, using your full-stack engineering judgment to create, review and validate software tasks.
AI systems improve through examples reviewed by engineers. In this role, full-stack professionals design realistic tasks, assess generated code, write reference solutions, and explain technical gaps. The work is part-time remote contract work for under 20 hours per week.
What you'll do
• Create and solve realistic full-stack tasks involving user-facing features and APIs
• Trace requests and data across browsers and back-end services to judge whether an AI implementation works correctly
• Write professional reference solutions and validate code across front-end and back-end systems
• Review AI-generated code for security, performance and maintainability, and explain where it needs improvement
Why this is worth your time
• Earn $50–$100 per hour equivalent for accepted tasks that meet project specifications while applying your full-stack engineering judgment.
• Review AI-generated code for security, performance and maintainability across front-end and back-end systems.
• Use your full-stack experience to assess AI-generated solutions across unfamiliar codebases and complete software systems.
• Fully remote and flexible, no fixed shifts, no commute
Who this is for
• Strong professional experience building production full-stack applications across multiple programming languages
• Strong full-stack systems knowledge covering browser applications, APIs, application state, databases, service integration, architecture and debugging
• Professional fluency in English; experience contributing to complete software-system architecture, working in unfamiliar codebases, and solving difficult debugging problems
• No AI experience needed. Experience reviewing AI-generated code for security, performance and maintainability is helpful.
Pay and details
• $50–$100 per hour equivalent; pay is per accepted task, as an independent contractor
• Part-time, under 20 hours a week, you choose when; fully remote, United States
How to apply
1. Apply on OpenTrain (about two minutes): https://app.opentrain.ai/api/out/cmu3vn4y500000bgm9fcp5md7?ch=weworkremotely&sub=weworkremotely-cmu3vn4y5-us-2026-10
2. Complete a short application on the hiring platform.
3. If shortlisted, take a conversational AI interview with technical questions and a coding challenge, whenever it suits you.
Ready to apply your full-stack engineering judgment to AI code evaluation? Apply today.
About OpenTrain AI
OpenTrain AI connects experienced professionals with paid, part-time AI training work: shaping and improving the AI systems that companies are building right now.
To apply: https://weworkremotely.com/remote-jobs/opentrain-ai-full-stack-engineer
Source: We Work Remotely (https://weworkremotely.com/remote-jobs/opentrain-ai-full-stack-engineer)
URL: https://opentrain.ai/
Full-Stack Engineer, Part-Time AI Code Evaluation - Remote (United States)
• $50–$100 per hour equivalent, paid per accepted task
• 100% remote
• Part-time
• Under 20 hours a week, you choose when
Work on AI code evaluation on your own schedule, using your full-stack engineering judgment to create, review and validate software tasks.
AI systems improve through examples reviewed by engineers. In this role, full-stack professionals design realistic tasks, assess generated code, write reference solutions, and explain technical gaps. The work is part-time remote contract work for under 20 hours per week.
What you'll do
• Create and solve realistic full-stack tasks involving user-facing features and APIs
• Trace requests and data across browsers and back-end services to judge whether an AI implementation works correctly
• Write professional reference solutions and validate code across front-end and back-end systems
• Review AI-generated code for security, performance and maintainability, and explain where it needs improvement
Why this is worth your time
• Earn $50–$100 per hour equivalent for accepted tasks that meet project specifications while applying your full-stack engineering judgment.
• Review AI-generated code for security, performance and maintainability across front-end and back-end systems.
• Use your full-stack experience to assess AI-generated solutions across unfamiliar codebases and complete software systems.
• Fully remote and flexible, no fixed shifts, no commute
Who this is for
• Strong professional experience building production full-stack applications across multiple programming languages
• Strong full-stack systems knowledge covering browser applications, APIs, application state, databases, service integration, architecture and debugging
• Professional fluency in English; experience contributing to complete software-system architecture, working in unfamiliar codebases, and solving difficult debugging problems
• No AI experience needed. Experience reviewing AI-generated code for security, performance and maintainability is helpful.
Pay and details
• $50–$100 per hour equivalent; pay is per accepted task, as an independent contractor
• Part-time, under 20 hours a week, you choose when; fully remote, United States
How to apply
1. Apply on OpenTrain (about two minutes): https://app.opentrain.ai/api/out/cmu3vn4y500000bgm9fcp5md7?ch=weworkremotely&sub=weworkremotely-cmu3vn4y5-us-2026-10
2. Complete a short application on the hiring platform.
3. If shortlisted, take a conversational AI interview with technical questions and a coding challenge, whenever it suits you.
Ready to apply your full-stack engineering judgment to AI code evaluation? Apply today.
About OpenTrain AI
OpenTrain AI connects experienced professionals with paid, part-time AI training work: shaping and improving the AI systems that companies are building right now.
To apply: https://weworkremotely.com/remote-jobs/opentrain-ai-full-stack-engineer
Source: We Work Remotely (https://weworkremotely.com/remote-jobs/opentrain-ai-full-stack-engineer)
Lolu hlu luvela ekudleni okubambisene. Faka isicelo kuwebhusayithi yomthombo.
Umthombo: OpenTrain AI
Ukukhangisa kunikezwe ngu-OpenTrain AI.
