Human Data Operations Manager

Reflection; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Top-tier compensation

Stock options

Health & wellness

Meals provided

Parental leave

Unlimited PTO

Visa sponsorship

Team events

Job summary

Reflection is a research lab focused on making intelligence open and accessible. We are seeking a Human Data Operations Manager to own data acquisition pipelines, collaborate with researchers, and source from vendors to improve model usefulness and performance.

You will design task instructions, establish data quality frameworks, track metrics, and ensure alignment with evolving research priorities. Experience with annotation or human feedback is a plus.

Qualifications

• 4+ years delivering a portfolio of complex programs across changing research needs.
• Strong understanding of LLM training, evaluation, and prompt design.

Responsibilities

• Translate research plans into data acquisition strategies.
• Define and manage vendor capabilities, instructions, and quality criteria.
• Build dashboards to track throughput, turnaround time, acceptance rates, and cost per task.
• Collaborate with researchers to align data sourcing with model development goals.

Skills

LLM concepts

Written communication

Stakeholder management

Bias to action

Tools

SQL

Python

APIs

Job description

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.

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 worlds 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.
• Ensure alignment: Experiments and priorities evolve. You will surface vulnerabilities early and turn feedback into concrete changes to subsequent sourcing. Work with research to close the loop; tracking how our data acquisitions improve model capabilities.

What We’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.

What We Offer

We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

• Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
• Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
• Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
• Meals: Lunch and dinner are provided in the office daily.
• Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
• Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
• Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
• Team building: We have regular off-sites, happy hours, and team celebrations.

Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.

Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice