Senior Platform Engineer, Human Data

Overview

Anyone AI is hiring a Senior Platform Engineer for its Human Data division to build and operate the platform behind RL, coding, STEM, and related evaluation work. The role focuses on end-to-end platform development, including evaluation environments, project pipelines and taxonomies, and the operational/admin surface that supports payments, task review, roles, and revenue/cost visibility. This is a high-autonomy role where you are expected to lead the platform initiative and make strong product and engineering decisions with limited hand-holding.

Responsibilities

• Design, launch, and harden evaluation environments for RL, coding, STEM, and other assessment workflows so they are reliable, repeatable, and aligned with lab-quality expectations.
• Own the platform logic for how projects move from brief to tasks, QC, and delivery, and help keep project taxonomies coherent as the business adds domains and clients.
• Build and support internal operations tooling such as payments and payouts, task approve/reject flows, role-based access control, role management, and visibility into revenue and cost by project.
• Set technical direction for the platform, decide priorities across environment work, pipeline work, and admin issues, and improve the system’s instrumentation and operability.

Experience and Qualifications

• Senior-level software engineering experience, with at least 4+ years or equivalent ownership, in backend or full-stack development.
• Experience owning or deeply operating a multi-sided platform with operators, contributors, and internal stakeholders.
• Background in human data, RLHF, labeling, or model evaluation, or close adjacent work such as RL/eval harnesses or annotation pipelines.
• Experience shipping admin or back-office workflows such as approvals, permissions, payments/payouts, and operational metrics.
• History of leading technical initiatives in ambiguous environments, especially on small teams.
• Working fluency with how human-data and evaluation workflows run in practice, including tasks, QC, environments, and expert workflows.

Preferred Qualifications

• Experience with environment orchestration such as containers, workers, or sandboxes.
• Familiarity with modern web and data stacks.
• Prior experience at or near platforms such as Scale AI, Surge, Handshake AI, or Labelbox.
• Fluent English; Spanish is a nice-to-have.