Назад
2 дня назад

Staff+ Software Engineer, RL Data Platform (AI)

320 000 - 405 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff+ Software Engineer, RL Data Platform (AI): Building full-stack interfaces, backend services, APIs, and data pipelines that collect human feedback and deliver training-ready data for Claude, with an accent on reliability, latency, and data quality. Focus on designing annotation tooling, improving model-sample delivery, launching data-collection campaigns, and translating RL research needs into production systems.

Location: San Francisco, CA or New York City, NY; staff are expected to work from one of the offices at least 25% of the time

Annual salary: $320,000–$405,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

  • Design and operate feedback and data-collection interfaces for human annotators, domain experts, and researchers.
  • Build backend services, APIs, and pipelines that route model samples to people and return structured feedback for training.
  • Own the reliability, latency, and usability of systems operating continuously against live model endpoints.
  • Partner with RL researchers to turn changing data needs into collection campaigns and production tooling.
  • Build dashboards, monitoring, and inspection tools for data quality and throughput.
  • Identify and remove bottlenecks between data requirements and inclusion in the training mix.

Requirements

  • Strong full-stack engineering skills with production experience in TypeScript and React on the frontend and Python on the backend.
  • Experience designing and operating backend services and data pipelines used by other teams.
  • End-to-end project ownership, from ambiguous requirements through production delivery.
  • Ability to work directly with technical stakeholders, assess changing needs, and make sound prioritization decisions.
  • Effective use of AI tools in day-to-day engineering work.
  • Bachelor’s degree or equivalent education, training, or experience in a relevant field.

Nice to have

  • Experience with annotation, labeling, evaluation, or human-in-the-loop data tooling.
  • Experience with RLHF, preference data, or human-feedback pipelines for ML systems.
  • Experience building researcher-facing or expert-facing internal tools and improving them through user research and experiments.
  • Experience with crowdworker or expert vendor platforms at scale.
  • Familiarity with LLM training and evaluation.

Culture & Benefits

  • Collaborative work across research, engineering, policy, and business disciplines.
  • Flexible working hours.
  • Generous vacation and parental leave.
  • Competitive compensation, benefits, and optional equity donation matching.
  • Visa sponsorship may be available; Anthropic provides immigration-lawyer support and evaluates sponsorship by role and candidate.

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