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This position was posted on April 15, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

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Backend Developer - AI Trainer

Job Overview

Location

Argentina - Fully Remote

Job Type

Contract

Category

Backend Engineer

Date Posted

April 15, 2026

Full Job Description

📋 Description

  • This role involves working as a project consultant for Anyone AI Inc., where backend developers design and evaluate realistic software engineering tasks to support AI training initiatives. The work is critical for building high-quality, production-realistic coding challenges used to assess and improve AI models' software engineering capabilities.
  • Day to day, the person 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 and ambiguities; and ensure alignment between specifications, code, and expected outputs.
  • Anyone AI Inc. is a company focused on advancing AI through expert human evaluation, leveraging skilled software engineers to create and validate training data. The team operates remotely, with consultants based in Argentina and globally, contributing to cutting-edge AI development through structured, expert-driven software engineering exercises.
  • In this role, the person can deepen their expertise in backend and full-stack development, gain experience in AI training data creation, refine skills in test design and code review, and contribute to meaningful AI advancement while maintaining full control over their schedule and workload as an independent consultant.

Skills & Technologies

Python
JavaScript
TypeScript
Java
Go
Backend
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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