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7 дней назад

Data Operations Associate (AI)

100 000 - 120 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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
Data Operations Associate (AI) (Data Quality and Operations): Building and refining data QA processes, compliance guardrails, survey workflows, and tooling for an AI-native continuous intelligence platform with an accent on data validation, sensitive-data handling, and operational scalability. Focus on resolving complex data escalations, developing approaches for unstructured data, and creating reliable pipelines and SOPs that support high-quality research outputs.

Location: Hybrid, New York City; full-time, in-person

Base salary: $100,000–$120,000 annually, depending on experience; eligible for a performance-based cash bonus and equity.

Company

hirify.global is building an AI-native continuous intelligence platform that automates primary research for enterprises, investment firms, and asset managers.

What you will do

  • Manage, improve, and create data quality-assurance workflows and processes.
  • Investigate data errors and escalations, identify root causes, and handle ad hoc data requests.
  • Build compliance guardrails into data processes and ensure sensitive information is handled correctly.
  • Drive end-to-end survey launches with Intelligence Strategy & Operations and Market Research teams.
  • Develop approaches, AI skills, and tooling for unstructured data workflows.
  • Manage offshore service-provider relationships and maintain reporting tools and standardized operating procedures.

Requirements

  • 2+ years of experience in Data Operations or as a QA analyst, including troubleshooting data errors, escalations, and edge cases.
  • Experience implementing data validation, cleaning, and quality-assurance processes.
  • Proficiency in SQL and Excel or Google Sheets, with practical use of AI tools.
  • Strong attention to detail, clear communication, ownership, and comfort working with ambiguous early-stage data infrastructure.
  • Ability to work full-time in person in New York City.

Nice to have

  • Experience building a data or analytics function at an early-stage technology startup.
  • Compliance experience identifying and redacting MNPI or PII.
  • Exposure to AI/LLM-related data pipelines, including labeling, moderation, or quality scoring.
  • Experience in market research, expert networks, or financial services.
  • Experience with Looker, Tableau, or Mode for stakeholder-facing dashboards.

Culture & Benefits

  • High standards for quality and impact in a fast-moving environment.
  • Significant ownership and autonomy within a small, early-stage team.
  • Health coverage, flexible paid time off, and paid holidays.
  • Cash bonus tied to individual and company performance.
  • Meaningful early-stage equity grant tied to company growth.

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