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4 дня назад

Project Manager (AI/ML)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Project Manager (AI/ML): Managing large-scale multilingual data collection and LLM evaluation initiatives with an accent on end-to-end delivery, quality control, KPI tracking, and global annotator coordination. Focus on optimizing data pipelines, translating technical requirements into annotation guidelines, and using performance insights to improve model fine-tuning strategies.

Location: Remote in the USA

Company

hirify.global develops AI-powered translation and language technology using machine translation, large language models, and human-in-the-loop systems.

What you will do

  • Manage the full lifecycle of large-scale AI data projects, from scoping and guideline creation through delivery and post-mortem analysis.
  • Oversee multilingual data collection pipelines covering audio, text, and image data, as well as LLM evaluation workflows including RLHF, SFT, ranking, and safety testing.
  • Track throughput, quality, productivity, cost-per-task, worker efficiency, Inter-Annotator Agreement, and gold-set performance.
  • Run quality assurance loops, perform root-cause analysis, and coordinate corrective training for annotator pools.
  • Maintain project-health dashboards, identify bottlenecks, and manage relationships with data experts and crowd pools against SLA requirements.
  • Collaborate with Applied AI Technical Operations teams and convert technical requirements into clear guidelines for non-technical annotators.

Requirements

  • 3–5+ years of project management experience in AI/ML data operations.
  • Strong understanding of LLM training processes, including pre-training, SFT, and RLHF, plus human-in-the-loop evaluation and red teaming.
  • Advanced proficiency with Excel or Google Sheets and the ability to write SQL queries for performance analysis.
  • Experience managing complex workflows with Agile, Scrum, or Kanban methodologies.
  • Ability to write clear, unambiguous guidelines for multilingual audiences.
  • Background in ML Engineering, Computer Science, Data Science, or project management training.

Nice to have

  • Fluency in a second language.
  • Experience with data annotation platforms such as Scale AI or SuperAnnotate.
  • Experience with project management tools such as Jira.

Culture & Benefits

  • Remote work with global collaboration.
  • Opportunities for professional growth and access to leading tools.
  • Work guided by principles focused on collaboration, customer empathy, speed, problem-solving, and quality.
  • Work on AI, machine translation, human-in-the-loop systems, and agentic AI products.

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