
Job Overview
Location
Argentina - Fully Remote
Job Type
Contract
Category
Software Engineering
Date Posted
June 19, 2026
Full Job Description
📋 Description
- • Python Developer - AI Trainer role focused on designing and evaluating realistic software engineering tasks for AI training purposes
- • Day-to-day responsibilities include designing multi-file coding tasks, implementing bug fixes and features, writing specifications, developing test suites, and reviewing peer submissions for quality and accuracy
- • Anyone AI Inc. is a remote-first company recruiting skilled backend developers as project consultants to contribute to AI training data creation
- • Opportunity to work on impactful AI training projects while developing expertise in task design, code evaluation, and AI-assisted software engineering workflows
🎯 Requirements
- • 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
🏖️ Benefits
- • Part-time, project-based expert evaluation work
- • Fully remote work arrangement
- • Control over own schedule and tools
- • Ability to simultaneously provide services to other vendors/employers (subject to allowances)
- • Paid on a per-project basis with hourly rate estimates
- • Opportunity to work on AI training data creation for realistic software engineering tasks
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
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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