7 дней назад
Data Operations Associate (AI)
100 000 - 120 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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