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2 дня назад

Prompt Engineer (AI)

Формат работы
remote (только USA)
Тип работы
parttime
Грейд
middle
Английский
c2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR

Prompt Engineer (AI): Managing end-to-end technical migration workflows for LLM autoraters with an accent on prompt optimization and model performance tuning. Focus on creating baseline prompts, solving edge-case architectures, and measuring quality against gold data sets.

Location: Must be based in the United States

Company

hirify.global provides language, translation, and AI data services to global organizations.

What you will do

  • Create baseline prompts for complex parent-child template clusters using Automatic Prompt Generation tools.
  • Supervise Automated Prompt Optimization outputs and identify performance deadlocks.
  • Manually draft, test, and refine prompts to resolve edge cases and anti-patterns.
  • Monitor shadowbot runs to track human and LLM rating disagreements.
  • Validate autorater quality by running prompts against gold data to calculate accuracy metrics like F1, precision, and recall.
  • Draft technical launch readiness justifications for final certification.

Requirements

  • Native fluency in English
  • Must be based in the United States
  • Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, or a related field.
  • At least 2 years of experience as a Prompt Engineer tuning LLMs.
  • Strong proficiency in identifying error patterns and analyzing performance using SQL or other data tools.
  • Ability to master proprietary tools with minimal supervision.

Nice to have

  • Familiarity with enterprise-grade interfaces like the Goose API.
  • Hands-on experience with Automated Prompt Optimization systems.
  • Understanding of semantics and logic in linguistics.
  • Experience in software engineering or AI model evaluation.

Culture & Benefits

  • Opportunity to work on large-scale AI service projects.
  • Collaborative environment with support for AI-assisted workflows.
  • Clear structure for employment eligibility verification and remote work standards.

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