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Yandex Practicum

Author for the “Launch and Management of an ML Product” Course

RemoteRussia only
Published
Role
Content
Experience
Mid
Employment
Part-time10–15h/week
Salary not disclosed
Check eligibility

Open to RU only. Set where you work from to check your eligibility.

No BS summary

Course author for an AI/ML product management program. Needs 3+ years as a Product Manager working on AI products or AI features, strong Generative AI and AI product knowledge, and ability to explain complex topics simply.

What you'll do

  • Create materials for new courses together with other authors, instructional designers, editors, illustrators, and program product managers.
  • Write lesson texts that keep students engaged in learning.
  • Improve existing content based on feedback from students, support experts, and editors.
  • Develop additional materials such as simulators, checklists, tests, memos, quizzes, and test assignments for knowledge assessment.
  • Suggest ideas for improving material comprehension.
  • Participate in designing the course program.

What they require

  • More than 3 years of experience working on AI products as a Product Manager.
  • Practical experience working with AI products or AI features.
  • Deep understanding of modern AI approaches, their capabilities, and limitations.
  • Understanding of how modern models work.
  • Ability to assess in which scenarios AI use is truly justified.
  • Understanding of technological and business limitations of AI solutions.
  • Knowledge of the economics of AI implementation, including development, inference, and support costs.
  • Strong exposure to Generative AI, including key tools, product approaches, and UX patterns.
  • Understanding of market best practices.
  • Familiarity with successful and unsuccessful AI/ML implementation cases.
  • Ability to transform business problems into AI products.
  • Ability to define what problem a model should solve.
  • Ability to assess data availability, quality, and sufficiency.
  • Understanding of how AI solutions affect product and business metrics.
  • Understanding of AI infrastructure and the market ecosystem, including main technologies, providers, and tools.
  • Understanding of architectural specifics of AI products.
  • Experience evaluating AI solution quality.
  • Understanding of model and product metrics.
  • Ability to compare model versions and interpret results.
  • Ability to balance quality, speed, and cost.
  • Ability to define success criteria for a specific case.
  • Understanding of security and responsible AI implementation issues.
  • Knowledge of risks related to using AI agents.
  • Understanding of privacy and data protection requirements.
  • Familiarity with legal and regulatory restrictions in AI.
  • Ability to explain complex topics in simple and applied language.
  • Preferred: Experience working with ML/DS teams, including task setting, participation in approach/model selection, and ability to speak the same language with them.
  • Preferred: Understanding of basic ML principles and model metrics sufficient to discuss trade-offs.
  • Preferred: Experience improving model/system quality, including diagnosing degradation causes, improvement levers, offline evaluation, and fine-tuning.
  • Preferred: General understanding of ML infrastructure and lifecycle, including data pipeline, monitoring, and retraining.

Benefits

  • Can be combined with a main job.
  • Remote collaboration; only need to stay in touch via messengers and sometimes Zoom.
  • Opportunity to experiment and realize your potential without micromanagement.
  • Smooth onboarding into collaboration, including introduction to course development tools and the team.
  • Portfolio addition: experts receive certificates for socially useful activity.
  • Opportunity to write articles and participate in Yandex Practicum conferences, events, and podcasts.

Yandex Practicum is an online education service where people can learn in-demand digital professions and find stable work.

EdTech

Details

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Salary not disclosed