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Appen
Appen
501 – 1 000 Xodimlar
H1B vizasi homiysiKonsaltingMarketingSun’iy intellekt
Appen sun’iy intellekt mahsulotlari va ilovalarini qo‘llab-quvvatlaydigan ma’lumotlar asosini ishlab chiqadi. 1996-yilda tashkil etilgan kompaniya ma’lumotlarni to‘plash, tartibga solish, modellarni nozik sozlash va monitoring qilishni o‘z ichiga olgan sun’iy intellekt ma’lumotlari hayotiy siklining barcha bosqichlarida kengaytiriladigan xizmatlarni taqdim etadi. Uning faoliyati inson tajribasini sun’iy intellekt bilan birlashtirib, korxonalarga o‘z ma’lumotlaridan samaraliroq foydalanishga yordam beradi. Sun’iy intellekt, konsalting va marketing sohalaridagi tajribasi bilan Appen turli tarmoqlarda sun’iy intellekt texnologiyalarini ishlab chiqayotgan va joriy etayotgan tashkilotlarni qo‘llab-quvvatlaydi.
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Kompaniyadagi ish o‘rinlari

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.

USAmerika Qo‘shma ShtatlariCAKaliforniya
150 000 $ – 200 000 $ / yil
GibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMuhandis
PythonSQL

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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OfisdaTo‘liq stavkaSeniorYetakchiTalab Qilinadigan Til: inglizchaMenejer

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USAmerika Qo‘shma ShtatlariILIllinoysMAMassachusetsNYNyu-YorkNCShimoliy KarolinaTXTexas
90 000 $ – 110 000 $ / yil
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178 000 $ – 313 000 $ / yil
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