
11 - 50 employees
Founded 2022
📚 Education
🤖 Artificial Intelligence
🎯 Recruiter
💰 $1.5M Pre Seed Round - Anyone AI on 2022-06
Education • Artificial Intelligence • Recruitment
Anyone AI is a Latin America–focused career accelerator and training academy that develops software engineers into AI and machine learning professionals through intensive, remote, mentor-led programs. It combines technical coursework (e. g. , Machine Learning Developer track), professional preparation (resume/LinkedIn optimization, interview coaching, English practice), and a placement-oriented model (income-share payments and access to employer partnerships) to help graduates secure higher-paying AI roles globally. Anyone AI also operates a talent marketplace connecting its community to companies seeking AI talent.
🔥 19 hours ago
🇦🇷 Argentina – Remote
💵 $65 / hour
⏳ Contract/Temporary
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 0%
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11 - 50 employees
Founded 2022
📚 Education
🤖 Artificial Intelligence
🎯 Recruiter
💰 $1.5M Pre Seed Round - Anyone AI on 2022-06
Education • Artificial Intelligence • Recruitment
Anyone AI is a Latin America–focused career accelerator and training academy that develops software engineers into AI and machine learning professionals through intensive, remote, mentor-led programs. It combines technical coursework (e. g. , Machine Learning Developer track), professional preparation (resume/LinkedIn optimization, interview coaching, English practice), and a placement-oriented model (income-share payments and access to employer partnerships) to help graduates secure higher-paying AI roles globally. Anyone AI also operates a talent marketplace connecting its community to companies seeking AI talent.
• Review software engineering tasks derived from real GitHub issues and pull requests • Assess real-world bug fixes and feature implementations • Evaluate open-source repositories, pull requests, unit tests, and test coverage • Review repository setup and dependency management • Assess reproducibility and environment configuration • Evaluate task difficulty, complexity, and multi-file or cross-module code changes • Determine whether tasks are clearly specified, technically solvable, appropriately tested, and representative of professional software engineering problems • Identify flaky tests, missing dependencies, ambiguous requirements, version conflicts, and environment-specific behavior • Provide clear recommendations on whether tasks should be accepted, improved, or excluded • Provide technical feedback and quality assessments
• 3+ years of professional software engineering experience • Strong experience working with large, multi-file codebases • Experience reviewing pull requests, debugging issues, and maintaining production code • Strong understanding of unit testing and test coverage • Ability to evaluate whether tests correctly validate a solution without unnecessarily restricting implementation approaches • Experience with dependency management, environment setup, and reproducibility • Strong understanding of Git and GitHub-based development workflows • Ability to analyze complex technical problems and provide clear written feedback • Contributions to or maintenance of open-source projects (nice to have) • Experience with SWE-Bench, SWE-Bench Verified, or similar coding benchmarks (nice to have) • Experience with major Python open-source projects such as Django, Flask, scikit-learn, SymPy, matplotlib, requests, or pytest (nice to have) • Experience with Docker, CI/CD, pip, conda, or dependency pinning (nice to have) • Knowledge of test fixtures, test isolation, or property-based testing (nice to have) • Experience designing technical assessments or reviewing coding challenges (nice to have) • Experience with AI/ML evaluation, data curation, RLHF, or benchmark development (nice to have)
• $65 per hour compensation • Remote work • Part-time, project-based consulting engagement
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