Anyone AI Inc. logo

Full-Stack Developer - AI Trainer

Job Overview

Location

Argentina - Fully Remote

Job Type

Contract

Category

Software Engineering

Date Posted

April 7, 2026

Full Job Description

📋 Description

  • Full-Stack Developer - AI Trainer role at Anyone AI Inc. involves working as a project consultant to design and evaluate realistic software engineering tasks for AI training purposes, contributing to the development of high-quality coding challenges used in technical assessments.
  • 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 company focused on advancing AI through expert human input, recruiting skilled software engineers to act as project consultants who create and validate engineering tasks that train and evaluate AI systems.
  • In this role, the consultant will deepen expertise in full-stack development, test-driven design, code review practices, and task authoring for AI evaluation, while gaining experience in creating production-realistic coding scenarios and structured peer feedback processes.

Skills & Technologies

Python
JavaScript
TypeScript
Java
Go
Full Stack
Remote

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Anyone AI Inc.
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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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