Appen
Appen
Appen жасанды интеллект өнімдері мен қолданбаларын қолдайтын деректер негізін әзірлейді. 1996 жылы құрылған компания деректерді жинау, реттеу, модельдерді дәл баптау және бақылауды қоса алғанда, жасанды интеллект деректерінің бүкіл өмірлік циклі бойынша ауқымды қызметтер ұсынады. Оның жұмысы адам сараптамасы мен жасанды интеллектті ұштастырып, кәсіпорындарға өз деректерін тиімдірек пайдалануға көмектеседі. Жасанды интеллект, консалтинг және маркетинг салаларындағы тәжірибесі арқылы Appen әртүрлі салаларда жасанды интеллект технологияларын әзірлейтін және енгізетін ұйымдарға қолдау көрсетеді.

Forward Deployed Engineer, GenAI Data — Appen

Design and optimize generative AI data solutions for Appen’s enterprise clients. Lead data quality, validation, automation, and scalable pipeline delivery.

Сипаттама

  • Collaborate with enterprise clients to design, deploy, and improve generative AI data solutions
  • Take ownership of the quality of delivered datasets
  • Establish project requirements and align stakeholders on measurable success criteria
  • Develop robust annotation guidance and surface actionable quality insights
  • Turn unclear client objectives into well-defined, scalable workflows
  • Produce generative AI datasets that satisfy agreed acceptance and quality standards
  • Specify validation and automation needs to reduce inconsistency, manual review, rework, and validation time
  • Work with engineering to create scalable, reproducible, and observable data pipelines
  • Develop reusable quality frameworks and validation tools for adoption across projects

Талаптар

  • At least three years of experience in a client-facing technical position, such as solutions engineering, solutions architecture, data or technical consulting, or data operations
  • Bachelor’s degree in computer science, engineering, data science, statistics, or a related discipline, or equivalent practical experience
  • Background in generative AI, machine learning, or model-evaluation data, including LLM training, annotation, or evaluation workflows
  • Consultative approach to client problem-solving, with the ability to ask incisive questions and help stakeholders make stronger decisions
  • Ability to use vibe coding tools; Python and SQL proficiency is a plus
  • Comfort working directly with client engineering and machine learning teams

Артықшылықтар

  • Medical insurance coverage
  • Dental insurance coverage
  • Vision insurance coverage
  • Retirement plan options
  • Paid time off
  • Flexible work arrangements
  • Access to tools, resources, and professional development opportunities

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