Anyone AI
via Ashby
Senior Platform Engineer, Human Data
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4h ago
The date the source published, not the day we noticed it (2026-09-18). Last seen at its source just now.
Is it remote?
Fully Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
LATAM, United States
No source stated where this role may be worked. This is read from the ad's own words.
What the ad says
…Location: Remote / LatAm / US The role Development of the platform tha…
Pay not stated
Similar roles pay $7,062–7,250/mo
Middle 50% of 18 listings that do state pay — Engineering · Senior · LATAM · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Carried by 1 source
-
ashby employer's own board first seen 1h ago · last seen just now
- location not stated
The listing
Anyone AI Labs — Anyone AI’s Human Data Division Owns: the Human Data platform (RL / coding / STEM evaluation environments, pipelines & project taxonomies, and the admin/ops surface like payments, task approve/reject, roles, revenue & cost)
Location: Remote / LatAm / US
The role Development of the platform that runs Anyone AI’s Human Data work end to end. That means standing up and evolving environments for RL, coding, STEM, and related evals; leading pipeline and project-taxonomy design; and building the admin systems that keep production moving, payments, task approval and rejection, roles, and visibility into project revenue and cost. This is a high-autonomy seat: you lead the platform initiative. You need enough fluency in human data / evaluation workflows to make the right product and engineering calls without constant hand-holding.
Responsibilities
● Evaluation environments. Design, stand up, and harden RL, coding, STEM, and other eval environments that contributors and internal teams can actually run against (reliably, repeatably, and at the quality bar labs expect).
● Pipelines & taxonomies. Lead platform development for how projects are structured: pipelines from brief → tasks → QC → delivery, plus project taxonomies that stay coherent as we add domains and clients.
● Admin & operations surface. support the operational layer: payments / payouts, task approve/reject flows, RBAC and roles management, and practical revenue & cost visibility per project.
● Lead the initiative. Set technical direction for the platform, prioritize ruthlessly between env work, pipeline, and admin firefighting, and leave the system more instrumented and operable than you found it. Experience
● Owned a multi-sided platform (operators + contributors + internal stakeholders), not only 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: approvals, roles/permissions, payments or payouts, and operational metrics.
● Led a technical initiative with high ambiguity on a small team.
Qualifications
● Senior software engineer (4+ years, or equivalent ownership): backend or full-stack, comfortable owning a production web product and the services behind it.
● Proven autonomy, you can take a messy domain (human data / evals) and turn it into a roadmap and shipped systems.
● Working fluency with how frontier human-data and evaluation work actually runs (tasks, QC, environments, expert workflows) enough to design for it, not only implement specs.
● Nice to have: env orchestration (containers, workers, sandboxes), prior work at or adjacent to Scale AI / Surge / Handshake AI / Labelbox / Other platforms, modern web/data stack familiarity.
● Fluent English. Spanish is a nice-to-have.