Назад
Company hidden
5 дней назад

Member Of Technical Staff (AI)

119 800 - 304 200$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Member of Technical Staff (AI): Building the next generation of foundation large language models by designing and curating high-quality datasets. Focus on data collection strategies, improving dataset quality and integrity and understand data-driven model behaviors.

Location: Must work from a designated hirify.global office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

Salary: $119,800 – $304,200 per year.

Company

hirify.global’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

  • Create high-quality datasets for training and evaluation; run experiments on new datasets to assess their impact and determine the most effective data.
  • Develop and maintain scalable data pipelines for text data ingestion, preprocessing, filtering, and annotation.
  • Analyze real-world text datasets to assess quality, diversity, relevance, and identify areas for improvement.
  • Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
  • Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

Requirements

  • Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.
  • 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
  • Proficiency in statistics and exploratory data analysis methods.
  • Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
  • Ability to communicate technical findings clearly to research and product teams.

Culture & Benefits

  • Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
  • Values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →

Текст вакансии взят без изменений

Источник - загрузка...