KarieraManagera
OFERTA PRACY

Human Data Operations Manager

Reflection.Ai

Stany Zjednoczone · New York City
Stacjonarnie
Umowa o pracęPełny etatOpublikowano 12 listopada 2026
Źródło: crawljobs.com
The Data Acquisition Team is responsible for ensuring that Reflection has all the data it needs to train the world's best models. We're looking for a Human Data Operations Manager to own the pipelines that turn human expertise into better AI models. You will partner closely with researchers, deeply understand their needs, and source from vendors the data that improves our models' usefulness and performance. This role combines program ownership with hands-on work on task design, contributor workflows, data quality frameworks, and success metrics. The ideal candidate brings organizational rigor, technical curiosity, and sound judgment about when to move quickly and when to investigate the details.

Responsibilities

Collaborate with research: Translate critical model capabilities, and researchers' plans for developing them, into executable data acquisition strategies; Orchestrate providers: Assess vendors' capabilities, forecast capacity, define task instructions and acceptance criteria, and hold vendors accountable for quality, delivery, and cost; Track and optimize campaigns: Build dashboards tracking throughput, turnaround time, acceptance rates, rework, and cost per accepted task, and leverage data analytics to investigate bottlenecks and guide improvements; Ensure alignment: Surface vulnerabilities early, turn feedback into concrete changes to subsequent sourcing, and work with research to track how data acquisitions improve model capabilities

Requirements

4+ years of experience delivering a portfolio of complex programs and prioritizing across changing research needs; An understanding of LLM training, evaluation, and prompt design, with the ability to learn unfamiliar research concepts quickly; Proficiency in SQL for querying datasets and building dashboards; Proficiency in Python for data analysis, API integrations, and workflow automation; Clear written communication and strong stakeholder judgment; A willingness to inspect individual tasks and datasets when the headline numbers do not tell the full story; High agency, bias towards action, and the ability to drive impact in fast-paced, dynamic, and ambiguous environments

Nice to have

Experience with annotation, expert data collection, human feedback, or AI evaluation

Benefits

Top-tier compensation: Salary and equity; Stock options; Comprehensive medical, dental, vision, and life insurance with an annual wellness allowance; Lunch and dinner provided in the office daily; 22 weeks paid parental leave for all new birthing and non-birthing parents; Unlimited paid time off in the U.S. and 30 days in the U.K.; Visa sponsorship support and long-term immigration pathways where applicable; Regular off-sites, happy hours, and team celebrations