Jobs at Anyone AI

Own the AI fellowship curriculum, learning design, content quality, and instructor network. Keep materials aligned with AI industry developments and hiring demand, review learner outcomes, improve program quality, recruit and evaluate instructors, and provide technical and academic leadership. Requires deep AI expertise, hands-on AI/ML experience, teaching and curriculum development experience, instructor evaluation skills, and fluency in Spanish and English.

Part-time remote backend development consultant role focused on designing and evaluating realistic coding tasks for a leading AI lab. Responsibilities include implementing bug fixes and features, refactoring code, creating specifications and reference implementations, extending unit and integration tests, reviewing peer submissions, and identifying edge cases. Candidates need strong Python and JavaScript/TypeScript skills, backend or full-stack production experience, testing expertise, and 2–5 years of software engineering experience.

Lead development of a human-data platform supporting RL, coding, STEM, and model-evaluation environments. Own evaluation infrastructure, task and quality-control pipelines, project taxonomies, and administrative workflows for approvals, permissions, payouts, and project financial visibility. Set technical direction, prioritize platform work, improve instrumentation and operability, and independently turn ambiguous human-data and evaluation requirements into reliable production systems.

Design advanced, deterministic mathematics problems for AI training and evaluation, each with one verifiable answer and a complete solution. Develop challenging reasoning tasks, document solutions clearly in English, and ensure outputs are precise and reproducible. Use Python and mathematical software to create computational workflows where appropriate. The role requires strong mathematical expertise, computational skills, technical writing, and attention to detail.

Reviews, debugs, evaluates, and optimizes GPU and accelerator kernels for AI workloads. Responsibilities include CUDA and Triton optimization, framework translation, hardware migration, operator fusion, profiling, benchmarking, numerical correctness validation, compilation and runtime debugging, and memory hierarchy optimization. The role assesses implementation quality, performance bottlenecks, hardware limitations, and technical task configuration while providing actionable feedback.

Evaluate and improve AWS Trainium and NKI kernel implementations for AI workloads. Responsibilities include reviewing kernel correctness, migrating CUDA kernels to NKI, optimizing Trainium performance, profiling and benchmarking, managing SBUF, PSUM, and HBM memory, orchestrating DMA, assessing numerical correctness, and providing technical feedback. The role is remote, part-time, and project-based, requiring at least two years of hands-on NKI kernel experience.

Reviews CVE reproductions, exploit proof-of-concepts, vulnerability fixes, Docker-based labs, and security regression tests. Validates attack conditions, remediation effectiveness, root-cause resolution, application functionality, and alternative exploitation paths. Responsibilities include analyzing configurations, software versions, networking, test suites, and vulnerability classifications while providing rigorous technical feedback. The role is remote, part-time, and project-based, focused on application security and vulnerability research.

Develop and evaluate realistic backend software engineering tasks for a leading AI lab. Responsibilities include bug fixes, feature implementation, refactoring, migrations, test generation, reference implementations, coding specifications, and peer review. Contributors identify edge cases, validate expected outputs, and provide actionable feedback while working remotely on a part-time, project-based basis.

Develop production-quality Python software for project-based AI lab engagements. Responsibilities include debugging complex codebases, backend or full-stack feature development, refactoring, system migrations, testing, technical documentation, code review, and validation of requirements and outputs. Contributors work remotely on a flexible, part-time schedule and select projects based on availability and expertise.

Develop production-quality backend or full-stack software for scoped, project-based engagements. Responsibilities include debugging complex codebases, implementing features, refactoring and migrations, expanding unit and integration tests, writing technical specifications, reviewing code, identifying edge cases, and validating requirements against implementation and expected outputs. The role is remote, part-time, flexible, and conducted as independent consulting work.

Develop and evaluate realistic backend software engineering tasks for an AI lab project. Responsibilities include implementing bug fixes and features, refactoring and migrations, writing specifications and reference implementations, building unit and integration tests, reviewing peer submissions, and identifying edge cases and failure modes. The role is part-time, remote, project-based, and requires strong Python and JavaScript/TypeScript expertise with production backend or full-stack experience.

Remote, project-based consulting role for Python software engineers working with a leading AI lab. Responsibilities include debugging, feature development, refactoring, migrations, testing, technical documentation, code review, and validating complex codebases. Contributors work part-time with flexible schedules and select projects based on their availability and expertise.

Complete flexible, project-based software engineering engagements for a leading AI lab. Responsibilities include debugging complex codebases, developing backend or full-stack features, refactoring and migrations, expanding automated tests, writing technical specifications, reviewing code, and validating requirements and outputs. The role is remote, part-time, independently scheduled, and compensated per project with estimated hourly rates.

Develop and evaluate realistic backend software engineering tasks for a leading AI lab. Responsibilities include designing multi-file bug fixes and features, refactoring and migrations, writing specifications and reference implementations, extending unit and integration tests, reviewing peer submissions, and identifying edge cases and failure modes. The role is part-time, project-based, remote, and consultants work independently using their own tools and schedules.

Develop and review production-quality Python software for flexible, project-based engagements with an AI lab. Responsibilities include debugging complex codebases, implementing backend or full-stack features, refactoring, migrations, testing, technical documentation, code review, and validating requirements and outputs. Contributors work remotely, select projects based on availability, manage their schedules, and deliver independently.

Develop and evaluate realistic backend software engineering tasks for an AI lab project. Responsibilities include implementing bug fixes and features, refactoring and migrations, writing specifications and reference implementations, expanding unit and integration tests, and reviewing peer submissions. Contributors identify edge cases, ambiguities, and failure modes while ensuring alignment between requirements, code, tests, and expected outputs. The role is remote, part-time, project-based, and allows contributors to control their schedules.

Develop production-quality Python software for flexible, project-based engagements with a leading AI lab. Responsibilities include debugging complex codebases, implementing backend or full-stack features, refactoring and migrations, expanding automated tests, writing technical specifications, reviewing code, identifying edge cases, and validating requirements and outputs.

Developers will complete flexible, project-based software engineering engagements for an AI lab. Responsibilities include debugging complex codebases, implementing backend or full-stack features, refactoring and migrating systems, expanding automated tests, writing technical specifications, reviewing code, and validating requirements and outputs. The role is remote, part-time, and independently scheduled, with project-based consulting compensation.

Develop production-quality Python software for project-based AI lab engagements. Responsibilities include debugging complex codebases, developing backend or full-stack features, refactoring and migrating systems, expanding test suites, writing technical specifications, reviewing code, identifying edge cases, and validating requirements, tests, and outputs. The role is remote, part-time, flexible, and compensated per project.

Develop and evaluate realistic backend software engineering tasks for an AI lab project. Responsibilities include implementing bug fixes and features, refactoring and migrations, writing specifications and reference implementations, extending unit and integration tests, reviewing peer submissions, and identifying edge cases and failure modes. The role is remote, part-time, project-based, and consultants control their schedules while providing their own tools.