Make intelligence open and accessible to all. Backed by Battery, Lightspeed and Sequoia.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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, and Python for data analysis, API integrations, and workflow automation
- Clear written communication, strong stakeholder judgment, and 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
- Experience with annotation, expert data collection, human feedback, or AI evaluation is a plus
More about this role
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.
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.
Collaborate with research: Translate critical model capabilities, and researchers’ plans for developing them, into executable data acquisition strategies.
Orchestrate providers: Assess vendors’ capabilities, forecast...
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