Senior Platform Engineer, Human Data

Anyone AI

. Develop Anyone AI’s Human Data platform end to end .

Posted 9/18/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend or full-stack development, with a strong focus on building and maintaining human data platforms and evaluation environments. Proven ability to lead technical initiatives, manage project taxonomies, and ensure operational efficiency in multi-sided platforms.

Highest-signal resume keywords

Backend DevelopmentFull-Stack ExpertiseHuman Data PlatformsTechnical Initiative LeadershipOperational Metrics Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringSystem DesignPipeline DevelopmentQuality ControlRole-Based Access Control (RBAC)Model EvaluationAnnotation PipelinesCoding Evaluation EnvironmentsMulti-Sided Platform ManagementEnvironment Orchestration

Soft Skills

AutonomyLeadershipCollaborationProblem-SolvingCommunication

Tools & Technologies

ContainersWorkersSandboxesWeb/Data Stacks

Industry Keywords

Human DataReinforcement Learning (RL)Evaluation WorkflowsTask ApprovalPayments ManagementOperational Layer

About the role

Key responsibilities & impact

Develop Anyone AI’s Human Data platform end to end
Design, stand up, and harden RL, coding, STEM, and other evaluation environments
Build reliable and repeatable environments for contributors and internal teams
Lead platform development for project structures, pipelines, and project taxonomies
Design pipelines from brief through tasks, quality control, and delivery
Maintain coherent project taxonomies as domains and clients expand
Support the operational layer covering payments/payouts, task approval/rejection, RBAC, roles management, and project revenue/cost visibility
Set technical direction for the platform
Prioritize environment work, pipeline development, and administrative operations
Improve system instrumentation and operability

Requirements

What you’ll need

Senior software engineer with 4+ years of experience or equivalent ownership
Backend or full-stack expertise
Comfortable owning a production web product and its services
Experience owning a multi-sided platform involving operators, contributors, and internal stakeholders
Experience building or deeply operating systems in human data, RLHF, labeling, model evaluation, RL/eval harnesses, annotation pipelines, or coding/STEM evaluation environments
Experience shipping admin or back-office workflows, including approvals, roles/permissions, payments or payouts, and operational metrics
Experience leading a technical initiative with high ambiguity on a small team
Proven autonomy in turning a messy human-data/evaluation domain into a roadmap and shipped systems
Working fluency with human-data and evaluation workflows, including tasks, QC, environments, and expert workflows
Fluent English
Spanish is a nice-to-have
Nice to have: environment orchestration using containers, workers, or sandboxes
Nice to have: prior work at or adjacent to Scale AI, Surge, Handshake AI, Labelbox, or similar platforms
Nice to have: familiarity with modern web/data stacks