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OpenTrain AI

Full-Stack Engineer

OpenTrain AI is hiring a Full-Stack Engineer for a remote, part-time contract role based in the United States. The company connects experienced professionals with paid artificial…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Not specified
Salary
USD 50 - 100/hr
Apply by
Not specified
Employment type
Contract
Experience
Not specified
Added to Jobsiz2h agoEmployer posted Nov 6, 2026
Listing Views1
Applications0
Apply BeforeNo deadline

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About This Role

OpenTrain AI is hiring a Full-Stack Engineer for a remote, part-time contract role based in the United States. The company connects experienced professionals with paid artificial intelligence training opportunities to help improve developing AI systems. In this position, contractors utilize their software engineering expertise to build, review, and validate coding tasks. The role operates on a flexible schedule requiring less than 20 hours per week with no fixed shifts. Contractors…

Job Description

OpenTrain AI is hiring a Full-Stack Engineer for a remote, part-time contract role based in the United States. The company connects experienced professionals with paid artificial intelligence training opportunities to help improve developing AI systems. In this position, contractors utilize their software engineering expertise to build, review, and validate coding tasks.

The role operates on a flexible schedule requiring less than 20 hours per week with no fixed shifts. Contractors are compensated between $50 and $100 per hour equivalent, paid per accepted task that meets project specifications. Candidates must be comfortable working within unfamiliar codebases, evaluating code performance, and handling complex debugging procedures. Prior artificial intelligence experience is not mandatory for applicants.

Responsibilities

  • Design and solve realistic full-stack tasks encompassing user-facing features and APIs
  • Track data and requests across back-end services and browsers to verify correct AI implementation
  • Develop professional reference solutions and validate code across front-end and back-end architectures
  • Analyze AI-generated code regarding maintainability, security, and performance, while detailing necessary improvements

Requirements

  • Professional background in building production full-stack applications across multiple programming languages
  • Comprehensive full-stack systems knowledge covering databases, browser applications, APIs, service integration, application state, debugging, and architecture
  • Professional fluency in the English language
  • Ability to contribute to complete software-system architecture and navigate unfamiliar codebases

Qualifications

  • Prior experience reviewing AI-generated code for maintainability, security, and performance

Benefits

  • Hourly rate equivalent of $50 to $100 paid per accepted task
  • Flexible part-time schedule with under 20 hours per week and no fixed shifts
  • Fully remote work environment with no commute

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

What is the remote policy for this role?

The position is 100% remote within the United States.

What is the compensation and employment type?

This is an independent contractor role paid at an equivalent rate of $50 to $100 per hour, determined per accepted task.

How many hours per week are expected?

The work is part-time at under 20 hours a week with a schedule chosen by the contractor and no fixed shifts.

Is prior AI experience required?

No artificial intelligence experience is needed, though background in reviewing AI-generated code for security, performance, and maintainability is helpful.

Sample Interview Questions

AI-generated questions tailored to this specific role — a preview of the full practice set.

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Posted by OpenTrain AI

Source: weworkremotely

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Posted by employer: Nov 6, 2026

Added to Jobsiz: Nov 6, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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