Top Tech Jobs & Startup Jobs

Lead AI safety projects from client scoping through delivery, manage expert red-teaming teams, design adversarial datasets and safety benchmarks, and build repeatable human and automated red-teaming methodologies. The role requires hands-on model-jailbreaking or security research experience, strong writing and leadership, Python proficiency, and comfort defining ambiguous problems.

Manage end-to-end interview scheduling and candidate logistics, maintain ATS records, coordinate interviewers and feedback, support recruiting operations, and improve hiring workflows and documentation to deliver a high-touch candidate experience.

Perform outbound prospecting and qualify leads for frontier AI labs. Research contacts, run multi-channel outreach (email, LinkedIn, X, events), maintain CRM hygiene, and develop outbound playbooks with founders. Articulate product value (data → model improvement) and hand off qualified pipeline to sales team.

Runs research programs spanning benchmark releases, partner collaborations, grants, fellowships, and research roadmaps. Coordinates projects end to end, maintains leaderboards, verifies evaluation results, manages expert capacity, tracks risks and resources, and unblocks technical work. Produces clear internal and external communications for researchers, executives, academics, and partners. The role also involves reading results tables, running evaluations, and contributing to benchmark design and publications.

Supports sales enablement, process execution, account and opportunity projects, reporting, and pipeline analysis. Creates sales collateral, coordinates RFIs and proposals, maintains accurate sales information, follows up across teams, identifies workflow improvements, and builds lightweight tools and processes. The role requires strong organization, communication, analytical, presentation, problem-solving, and prioritization skills in a fast-paced, ambiguous environment.

Own product areas end-to-end across Engineering, Operations, and Research. Identify high-impact problems, understand workflows, define product direction and technical requirements, prioritize using data and feedback, partner with engineers through launch, and improve scalability and workflows as the company grows.

Write and adapt technical and non-technical content across social media, blogs, founder communications, and company announcements. Translate research papers and technical findings into accessible writing, maintain distinct brand and founder voices, verify claims, collaborate with stakeholders, repurpose content across channels, and independently manage deadlines for a part-time contract.

Lead strategic engineering projects for an applied AI research lab, partnering with major AI organizations to build data solutions. Manage specialized expert teams, define dataset specifications, drive projects from scoping through delivery, and support cross-functional operational initiatives. The role requires life-sciences engineering expertise, quantitative process and systems reasoning, strong leadership, communication, and comfort operating autonomously in ambiguous environments.

Conduct a semester-long applied AI research project with an AfterQuery mentor in areas such as data quality, post-training, agent and foundation-model evaluation, or public benchmarks. Responsibilities include formulating research questions, designing experiments, developing datasets and evaluation methods, analyzing results, documenting reproducible work, and co-authoring a publication. Scholars receive mentorship, engineering support, annotation resources, and compute access.

Support research scientists with experiments involving advanced reasoning, computer use, and agentic AI models. Interns will collect, process, and analyze proprietary datasets; develop and test algorithms; document findings; present research; and collaborate with interdisciplinary teams. The role offers opportunities to contribute to publications and work with specialized datasets and computational resources. Interns work 10–40 hours weekly depending on company needs.