Anyone AI
Open Positions at Anyone AI
26 open positions
Senior Software Engineers will review and evaluate real-world software engineering tasks from open-source repositories, focusing on technical soundness, reproducibility, testing, and task quality. This is a remote, part-time consulting engagement for engineers experienced with complex codebases and pull-request review.
Review and validate real-world CVE reproductions, exploit proof-of-concepts, remediation strategies, and security regression tests. This remote, part-time consulting project is designed for experienced application security professionals and vulnerability researchers.
Anyone AI is seeking experienced Python software engineers for flexible, remote, project-based consulting engagements with a leading AI lab. Contributors will work on scoped backend or full-stack projects involving production code, debugging, refactoring, migrations, testing, and technical review.
Anyone AI is seeking experienced Python software engineers for flexible, remote, part-time consulting projects with a leading AI lab. Contributors will debug, build, refactor, test, review, and document production-quality backend or full-stack code.
Anyone AI is seeking experienced Python software engineers for flexible, remote, part-time consulting projects with a leading AI lab. Contributors will debug, build, refactor, test, review, and document production-quality software across scoped engagements.
Experienced Python software engineers will work remotely on flexible, part-time, project-based engagements for a leading AI lab. Projects involve production codebases, backend or full-stack development, debugging, refactoring, testing, migrations, and technical review.
Anyone AI is seeking part-time Backend Developers in Argentina to design, implement, and evaluate realistic software engineering tasks for a leading AI Lab. The remote, project-based role focuses on backend coding, testing, refactoring, migrations, and peer review.
Lead the development of Anyone AI’s Human Data platform, spanning evaluation environments, project pipelines, taxonomies, and operational systems. This high-autonomy role is ideal for a senior engineer who can own a complex, multi-sided production platform end to end.
Anyone AI is seeking a part-time, remote GPU Kernel Engineer to review, debug, evaluate, and optimize high-performance kernels for AI workloads. The role focuses on CUDA, Triton, accelerator performance, numerical correctness, benchmarking, and low-level hardware optimization.
Senior machine learning engineers will review and evaluate ML challenges, datasets, experiments, and evaluation pipelines for technical soundness, reproducibility, and meaningful ML reasoning. This is a remote, part-time consulting engagement focused on identifying leakage, shortcuts, metric flaws, and other evaluation problems.
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