Чётко описанная senior-роль в крупной продуктовой компании с заметной ответственностью за AI-операции с данными и сильным пакетом льгот; главное ограничение - работа доступна только в США.
Только США
Работа с AI
Понятная зона ответственности
Сильный пакет льгот
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Program Manager, Human & LLM Data Annotation Operations (AI/Data Labeling): Building and scaling Reddit’s central human and LLM-assisted data labeling function across Ads and Consumer products with an accent on taxonomy architecture, vendor operations, and automated annotation workflows. Focus on translating complex product requirements into executable labeling guidelines, integrating LLM-based automation, and establishing scalable intake, quality, SLA, and throughput frameworks.
Location: Remote within the United States; optional access to offices in San Francisco, Los Angeles, New York City, and Chicago.
Base salary: $180,200–$252,300 USD annually, plus potential equity and, depending on the position, commission.
Company
Reddit operates a large network of online communities and uses continuous data annotation to support advertising, consumer experiences, models, taxonomies, and product experiments.
What you will do
Own and scale the request-intake process across Consumer and Ads organizations, prioritizing initiatives by agreed criteria and business impact.
Design and execute the operational roadmap for LLM-assisted labeling workflows that augment human vendors and increase throughput.
Standardize taxonomy guidelines and operationalize complex, multi-quarter labeling projects for product experiments and Ads safety systems.
Partner with Product Managers, Data Scientists, Operations Leaders, and vendor partners to translate business requirements into executable human and machine tasks.
Build and document centralized intake models, SLA frameworks, quality assurance practices, and throughput metrics.
Requirements
7+ years of experience in data operations, program management, or vendor operations, with a strong focus on data labeling, model-training data, or taxonomy infrastructure.
Proven ability to align Product and Engineering leadership, set firm boundaries, and enforce structured prioritization.
Exceptional ability to translate vague product requirements into detailed labeling instructions, edge-case trees, and taxonomy classification schemas.
Experience using LLMs, synthetic data generation, or automated tooling to augment vendor annotation workflows and scale operational capacity.
Demonstrated ability to work with internal Vendor Operations or Vendor Managers to convert project requirements into executable guidelines and handle task-level escalations.
Nice to have
Experience working across Ads or Monetization and Consumer-facing product organizations.
Strong SQL and data-manipulation skills for independently analyzing vendor quality metrics, pipeline throughput, and project-completion SLAs.
Culture & Benefits
Remote work is available within the United States, with optional office access in San Francisco, Los Angeles, New York City, and Chicago.
Comprehensive healthcare and income-replacement programs, including medical, dental, and vision coverage.
401(k) with employer match and global benefit programs supporting workspace, professional development, and caregiving.
Family-planning support, gender-affirming care, and mental-health and coaching benefits.
Flexible vacation, paid volunteer time off, and generous paid parental leave.
Interviews may be recorded, transcribed, and summarized by AI for select roles and locations; candidates may opt out before scheduled interviews.
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