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This position was posted on April 22, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Anyone AI Inc. logo

Software Engineering AI Trainer (Uruguay)

Job Overview

Location

Uruguay

Job Type

Part-time

Category

Software Engineering

Date Posted

April 22, 2026

Full Job Description

📋 Description

  • Software Engineering AI Trainer role focused on designing and evaluating realistic software engineering tasks for a leading AI lab project
  • Day-to-day responsibilities include creating multi-file coding tasks for bug fixing, feature development, refactoring, and testing; writing clear natural-language specifications and reference implementations; developing unit and integration test suites; reviewing peer submissions for correctness and realism; identifying edge cases and ambiguities; and ensuring alignment between specifications, code, and expected outputs
  • Anyone AI Inc. is recruiting skilled software engineers to contribute to AI training data development through expert evaluation work, operating as a remote, part-time, project-based consultant role
  • Consultants will gain experience in AI-driven software evaluation, task design for machine learning systems, and peer review processes while working on production-realistic coding scenarios that contribute to advancing AI capabilities in software engineering

Skills & Technologies

Python
JavaScript
TypeScript
Java
Go
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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