Senior Platform Engineer, Human Data

About the role

Anyone AI's Human Data division owns the Human Data platform, which covers RL, coding and STEM evaluation environments, pipelines and project taxonomies, plus the admin and operations surface such as payments, task approval and rejection, roles and revenue and cost visibility. The Senior Platform Engineer develops the platform that runs this work end to end, from environments to pipelines and admin systems, in a high-autonomy role leading the platform initiative. The position is remote and open to candidates in Latin America and the US.

Key responsibilities

• Evaluation environments: design, set up and harden RL, coding, STEM and other eval environments that contributors and internal teams can run reliably and repeatably.
• Pipelines and taxonomies: lead platform development for how projects are structured, including pipelines from brief to tasks, QC and delivery, and project taxonomies that stay coherent as new domains and clients are added.
• Admin and operations: support payments and payouts, task approval and rejection flows, RBAC and roles management, and project-level revenue and cost visibility.
• Lead the initiative: set technical direction, prioritize between environment work, pipeline and admin issues, and leave the system more instrumented and operable than you found it.

Required profile

• Owned a multi-sided platform (operators, contributors and internal stakeholders), not just feature slices.
• Built or deeply operated systems in human data, RLHF, labeling or model evaluation, or very close (RL/eval harnesses, annotation pipelines, coding/STEM eval environments).
• Shipped admin or back-office workflows such as approvals, roles and permissions, payments or payouts, and operational metrics.
• Led a technical initiative with high ambiguity on a small team.
• Senior software engineer (4+ years, or equivalent ownership), with proven autonomy and ability to turn a messy domain into a roadmap and shipped systems.
• Fluent English; Spanish is a nice-to-have.

Required skills

• Backend or full-stack engineering, comfortable owning a production web product and its services.
• Nice to have: working fluency with frontier human-data and evaluation workflows, and experience with env orchestration (containers, workers, sandboxes).
• Nice to have: prior work at or near Scale AI, Surge, Handshake AI, Labelbox or similar platforms, and familiarity with a modern web/data stack.