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Full-Stack Engineer - AI Trainer

Job Overview

Location

Argentina - Fully Remote

Job Type

Contract

Category

Full-Stack Engineer

Date Posted

April 15, 2026

Full Job Description

đź“‹ Description

  • • As a Full-Stack Engineer - AI Trainer at Anyone AI Inc., you will work as a project consultant to design and evaluate realistic software engineering tasks that help train and improve AI systems for code generation and understanding.
  • • Your day-to-day responsibilities include designing and implementing multi-file coding tasks across bug fixing, feature development, refactoring, and testing; writing clear natural-language specifications and reference implementations; developing and extending unit and integration test suites; reviewing peer-generated tasks for correctness, clarity, and realism; identifying edge cases and ambiguities; and ensuring alignment between specifications, code, and expected outputs.
  • • Anyone AI Inc. is a remote-first company focused on advancing AI through expert human evaluation, leveraging skilled software engineers to create high-quality training data for AI models in software engineering domains.
  • • In this role, you will deepen your expertise in full-stack development, software design, and testing practices while contributing to cutting-edge AI development; you’ll gain experience in task design, peer review, and creating production-realistic coding scenarios that push the boundaries of AI code understanding.

Skills & Technologies

Python
JavaScript
TypeScript
Java
Go
Full Stack
Remote

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About Anyone AI Inc.

Anyone AI provides no-code computer-vision infrastructure that lets companies build, train and deploy image and video models without machine-learning teams. Its cloud platform automates data labeling, model optimization and edge deployment for retail, manufacturing, logistics and healthcare use cases. The company offers pre-trained APIs for object detection, counting and anomaly identification, plus dashboards for continuous monitoring and compliance. Founded in 2021, it targets enterprises seeking rapid AI adoption while avoiding costly specialists and infrastructure setup.

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