Strategic Project Lead - AI Post-Training (United States)
Контакты
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
aiqaproject managementdata qualityrlhfmodel evaluationpreference dataai post training
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль дает практический опыт в AI post-training и оценке моделей, а обязанности по ведению проектов описаны четко; главный вопрос - насколько самостоятельной будет работа с учетом названия Lead и требований всего в 1-2 года опыта.
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Уровень ролиРабота с ИИПонятная зона ответственности
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Strategic Project Lead - AI Post-Training (United States) (AI post-training/model evaluation): Leading end-to-end data programs for improving frontier AI models with an accent on preference data, evaluation workflows, quality standards, and client delivery. Focus on translating model improvement objectives into reliable datasets and measurable rubrics, resolving ambiguous requirements, and developing reusable QA frameworks.
Location: Remote in the United States
Company
hirify.global delivers high-quality AI solutions and data programs for frontier models across industries and geographies.
What you will do
Own end-to-end project delivery, including scope, timelines, budgets, staffing, and risk management.
Lead client communication, status reporting, planning sessions, and escalations.
Translate model improvement objectives into data requirements, workflows, rubrics, and evaluation plans.
Define quality standards and acceptance criteria for preference data, model comparisons, and evaluation outputs.
Monitor delivery quality, investigate inconsistencies, and resolve ambiguous requirements with clients.
Develop reusable guidelines, SOPs, and QA frameworks; mentor Operations Specialists and contribute to project scoping, pilots, and new capability development.
Requirements
1–2+ years of experience in AI data operations, project coordination, or delivery, ideally in a GenAI or frontier AI environment.
Familiarity with at least one AI post-training or model evaluation workflow.
Experience coordinating projects or workstreams, managing stakeholders, and communicating with clients.
Understanding of data quality, annotation workflows, and quality assurance methods.
Ability to translate evolving requirements into clear workflows, rubrics, and measurable quality standards.
Strong troubleshooting and organizational skills, with the ability to manage multiple priorities.
Interest in current AI developments, including frontier models and post-training approaches.
Nice to have
Experience with reinforcement learning from human feedback (RLHF), preference data, or model response evaluation.
Familiarity with rubric design, model comparison, benchmark development, or evaluation creation.
Experience assessing model responses for quality, accuracy, reasoning, or instruction following.
Exposure to AI companies, frontier AI labs, or model evaluation programs.
Bilingual capabilities, particularly German or a Nordic language.
Culture & Benefits
Innovation, collaboration, excellence, curiosity, accountability, and high-quality delivery are valued.
Work on complex AI challenges shaping the future of AI across industries and geographies.
Flexible remote work supported by tools, resources, and development opportunities.
A culture that values humility over ego.
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