Curates expert datasets for frontier AI labs
AfterQuery creates high-quality, human-generated datasets through expert partnerships to train foundation models and AI agents. They serve frontier AI research labs and enterprises needing custom data for reasoning, code generation, and agentic tasks. This addresses data quality limitations that bound model performance.
Build production ML systems for measuring, predicting, and scaling data quality for frontier AI models. Requires 3-6 years experience in applied ML or related production systems (ranking, recommendations, data quality, fraud) plus strong software engineering skills.
Lead People Operations at a fast-growing AI data lab, owning payroll, benefits, HR compliance, and employee relations. Build HR infrastructure from scratch in a 5-day onsite SF environment; requires 5-8+ years hands-on HR ops experience and deep CA employment law knowledge.
Business Development Representative responsible for opening doors at frontier AI labs through outbound prospecting, qualifying leads, and building sales playbooks from scratch. Requires technical literacy in AI/ML and strong written communication.
Business Operations lead reporting directly to the CEO, owning recruiting pipeline, admin/finance operations, and strategic execution at a fast-growing AI data lab.
Lead and mentor 5-15 engineers while staying hands-on building scalable data and evaluation systems for frontier AI models. Own execution end-to-end in a fast-paced environment.
Build and own security infrastructure and core systems for an AI platform handling sensitive workflows. Requires 2-7 years experience with Python/Go/TypeScript, cloud environments, and production security tooling.
Coordinate interviews, candidate logistics, and recruiting operations at a fast-growing AI research lab. Own scheduling, ATS maintenance, and process improvement with direct founder access.
Own full-cycle technical recruiting for engineering and AI roles at a fast-growing frontier AI data infrastructure startup. Build sourcing pipelines, partner directly with founders, and help shape hiring processes and systems from day one.
Own and scale AfterQuery's people infrastructure: compensation strategy, leveling frameworks, performance management, L&D, and retention for a fast-growing AI data company. Report to Head of BizOps & People.
Own end-to-end business and operations recruiting as the company's first dedicated TA hire. Build sourcing engines, interview processes, and infrastructure to attract and close elite talent from top finance, consulting, PE, and tech firms.
Leads customer success for AI labs and enterprises, expanding relationships, driving account growth, and ensuring product value through reviews, playbooks, and health monitoring. Requires 3-5 years experience, technical fluency in AI/ML, and relationship-building skills.
Manages financial modeling, budgeting, cash flow, invoicing, vendor payments, and operational processes like onboarding and contract admin for a fast-growing AI startup. Requires 2-4 years experience, strong spreadsheet skills, and a bachelor's in finance or related field.
Designs datasets and evaluation frameworks for frontier AI models, collaborating with top labs to expose failure modes, refine RLHF/RLVR pipelines, and measure data impact on capabilities. Requires strong quantitative skills, familiarity with LLM training, and research experience up to master's level.
Design and run SFT/RL experiments to measure dataset impact on LLM performance, capabilities, and alignment. Collaborate with labs to provide evidence of improvements; requires strong LLM training knowledge and fast experimentation, ideally undergrad/master's research background.
Designs datasets, evaluation rubrics, and reward signals for RLHF/RLVR pipelines to expose model failure modes and improve frontier AI capabilities. Partners with AI labs; requires 1-4 YOE and passion for data-driven model behavior.
Designs and builds scalable core infrastructure for data generation, human-in-the-loop workflows, and AI evaluation pipelines. Requires strong experience in distributed systems, cloud platforms like GCP/AWS, and high-throughput data processing.
Supports founding team on high-priority technical projects with frontier AI labs, coordinating datasets, building AI-powered operational tools, managing expert teams, and driving process improvements. Requires strong AI interest, technical fluency, and ability to thrive in ambiguity.
Drives on-campus brand expansion and community growth for AI research lab through creative social media content, partnerships, and bold initiatives. Targets freshmen/sophomores with strong online presence, community experience, and AI passion.
Software Engineering Intern builds and scales data infrastructure, including web/desktop workflows and high-throughput pipelines, collaborating on product strategy. Requires proficiency in JavaScript/Next.js, Python, cloud services, and caching/search tools; must work onsite in San Francisco.
Works directly with founding team on high-priority projects in AI dataset development, team management, sales memos, and operations for a frontier AI research lab. Requires strong agency, quick learning, AI interest, and onsite presence in SF.
Builds and scales data infrastructure including web/desktop workflows and high-throughput pipelines using full-stack technologies. Requires proficiency in JavaScript/Next.js, Python, cloud services, and data processing tools like Redis and Elasticsearch.
Architects and scales automated pipelines for sourcing and recruiting experts to power AI training datasets. Owns talent acquisition, GTM automation, operations, and experiments in a fast-paced startup environment.
Leads high-priority strategic projects with founding team, generating AI datasets for top labs, managing expert teams across domains like finance and engineering, and driving company initiatives in product, research, and operations. Requires strong leadership, drive, and AI passion.