AfterQuery

Leads high-impact data and AI projects for frontier model organizations, coordinating expert teams, defining datasets, and driving delivery. Requires advanced STEM research or quantitative expertise, exceptional analytical reasoning, leadership, and strong communication.

Corporate Counsel will serve as AfterQuery’s first dedicated in-house lawyer, owning commercial contracting and employment-law matters while partnering with Sales, Finance, People, and outside counsel. The role requires a JD, active California bar admission, and 3–6 years spanning contracts and employment law.

Build full-stack product systems for expert acquisition, onboarding, matching, activation, and retention. The role requires 3–5 years of software engineering experience, strong product judgment, and the ability to ship measurable improvements with cross-functional partners.

Leads high-impact consulting projects and client engagements for AI data solutions, coordinating expert teams and shaping dataset specifications for foundation models. Requires 3+ years in management or corporate strategy, strong quantitative problem-solving, client communication, and operational execution skills.

Leads final quality review for technical and AI training datasets, improves QC automation and processes, and reports quality metrics to leadership. Requires 3+ years in a technical role, programming proficiency, rigorous evaluation skills, and experience leading QA/QC functions.

Leads enterprise data acquisition strategy, negotiates high-value data-purchase agreements, and manages vendor relationships, compliance, budgeting, and forecasting. Requires at least 3 years of relevant experience, people leadership, and a demonstrated record of closing seven-figure data deals.

Leads cross-functional projects that create AI training data solutions for frontier AI organizations, coordinating specialized experts and owning delivery from scoping through execution. Requires at least three years in chemical, biomedical, biotech, pharma, or related life-sciences engineering and strong quantitative and leadership skills.

The Business Recruiter will own full-cycle hiring for business and operations functions, building elite talent pipelines, partnering with executives, and closing high-caliber candidates. The role requires 2–5+ years of agency or in-house recruiting experience and comfort in a fast-paced, five-day in-office environment.

Leads execution of research programs spanning post-training, fellowships, evaluations, and partner research. The role requires technical fluency in LLM development and the ability to turn ambiguous research goals into aligned plans, decisions, and releases.

Research Engineer designing post-training infrastructure and running controlled experiments to measure how datasets affect foundation-model behavior. Requires at least 2 years of ML or research engineering experience, strong Python, and hands-on experience with PyTorch, JAX, Ray, Slurm, and LLM post-training.

Leads AI safety projects for frontier AI labs, managing expert contributors and developing adversarial datasets, taxonomies, benchmarks, and red-teaming methodologies. Requires hands-on adversarial or security experience, strong writing and leadership, and production-quality Python skills.

Leads legal data and evaluation programs for frontier AI labs, managing attorney teams and defining rigorous standards for legal reasoning datasets and workflows. Requires a JD, at least three years of substantive legal practice, strong analytical and leadership skills, and comfort with AI tools.

Build scalable data infrastructure and platform systems supporting data and evaluation for frontier AI labs. The role requires strong software fundamentals, distributed-systems expertise, cloud and Kubernetes familiarity, and ideally five or more years of experience.

Own strategic relationships with frontier AI lab customers, driving retention, expansion, renewals, and long-term partnerships. The role requires at least three years of relevant experience, strong executive communication, and the ability to build account management and customer health processes from the ground up.

GTM Operations Lead responsible for CRM hygiene, sales process standardization, pipeline analytics, RFI responses, contract-to-cash execution, and automating the revenue stack at a fast-growing AI data company. Requires 5-7+ years in RevOps or similar analytical roles, high execution, systems thinking, and comfort with both tactical and strategic work.

Own the supply side of an AI data marketplace by building scalable expert sourcing, acquisition channels, and automation systems. Lead a team to forecast needs, optimize funnels, and create a defensible talent engine through deep engineering and product partnerships.

Lead strategic projects with frontier AI labs to design healthcare datasets and manage expert teams that shape how foundation models are trained and evaluated. Requires 3+ years in healthcare/medicine/biopharma, strong domain knowledge, high agency, and leadership experience (MD a plus).

Lead the expert marketplace strategy and operations for an AI data company, owning acquisition, matching, retention, and quality while building scalable systems and partnering closely with Engineering. Requires marketplace/talent platform experience, strong product/systems thinking, and technical depth to define product requirements.

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.

Business Operations lead reporting directly to the CEO, owning recruiting pipeline, admin/finance operations, and strategic execution at a fast-growing AI data lab.

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.

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.

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.

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.