Research · Data Acquisition
OUR MISSION
Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
ROLE OVERVIEW
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.
WHAT YOU'LL DO
- 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, acceptance criteria and then 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. Leverage data analytics to investigate bottlenecks and guide improvements.
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