Full-Stack Developer (Thailand)

Anyone AI Inc.

United States

Remoto

USD 55.000 - 110.000

Part-time

14 giorni+
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Anyone AI Inc. in the United States is seeking skilled software engineers who also speak Thai to work on a project with a leading AI Lab. This is a remote, part-time consultant role.

Consultants will design and evaluate realistic multi-file coding tasks, implement reference solutions, and create robust unit and integration tests; they will review peer submissions for clarity, correctness, and realism. You control your schedule, provide your own tools, and may work for multiple clients, with

Competenze

  • Advanced professional written proficiency in English
  • 3–7 years of professional software engineering experience
  • Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go
  • Backend or full-stack development experience in production systems
  • Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing)
  • Proven ability to debug and navigate large, multi-file codebases
  • Experience with code reviews, refactoring, and production migrations

Mansioni

  • Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing
  • Write clear natural-language specifications and reference implementations
  • Develop and extend unit and integration test suites
  • Review peer-generated tasks for correctness, clarity, and realism
  • Identify edge cases, ambiguities, and potential failure modes
  • Ensure alignment between specifications, code, and expected outputs

Conoscenze

Python
JavaScript/TypeScript
Thai language
Java
C#
Go
Backend
Full-stack
Testing frameworks
Debug multi-file codebases
Code reviews
Refactoring
Production migrations
English proficiency

Strumenti

pytest
Jest
JUnit
xUnit
Go testing

Descrizione del lavoro

Anyone AI is recruiting skilled software engineers who also speak Thai, to work on a project with a leading AI Lab.

Qualifications:
  • Advanced professional written proficiency in English

  • 3–7 years of professional software engineering experience

  • Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go

  • Backend or full‑stack development experience in production systems

  • Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing)

  • Proven ability to debug and navigate large, multi‑file codebases

  • Experience with code reviews, refactoring, and production migrations

Engagement:

Part-time, project-based expert evaluation work

Work Type:

Remote

Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy.

This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances).

Responsibilities:

Contributors will:

  • Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing

  • Write clear natural-language specifications and reference implementations

  • Develop and extend unit and integration test suites

  • Review peer-generated tasks for correctness, clarity, and realism

  • Identify edge cases, ambiguities, and potential failure modes

  • Ensure alignment between specifications, code, and expected outputs

Expected Outcomes:
  • High-quality, production-realistic coding tasks

  • Complete and correct reference implementations

  • Robust test coverage and validation artifacts

  • Structured, actionable peer review feedback

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