--- title: 'People Operations AI Research Contributor at Aptura' canonical: 'https://feeny.ai/job/people-operations-ai-research-contributor-aptura-global-gy5h6j2f9cbr' type: 'job' last_seen: '2026-11-08' --- # People Operations AI Research Contributor at Aptura - **Company:** Aptura - **Location:** Global - **Employment:** contract - **Work type:** remote - **Posted:** 2026-10-19 - **Last confirmed live:** 2026-11-08 - **Apply:** https://jobs.ashbyhq.com/aptura/8f4a50aa-5fbe-4337-951e-d8efdfd9e61f ## Job description ## About the Role Aptura is looking for Subject Matter Experts from people ops, HR or workforce planning, across headcount, compensation or org design, who build headcount plans, comp models and people analytics in Excel. You have used AI tools on your own work and been frustrated by the mistakes they make. You will turn that experience into realistic Excel tasks that test how well AI does the work of a People Ops Analyst. ## Responsibilities - Writing realistic Excel tasks drawn from your own work: extending existing models, fixing broken ones and building from a brief - Working through each task yourself so there is a clear, correct answer - Writing yes-or-no criteria precise enough that a grader can mark any attempt against them Necessary Qualifications - 3+ years in people operations, HR analytics, total rewards or workforce planning, covering headcount, compensation, benefits or org design - Deep hands-on Excel: headcount and comp models, named ranges, multi-criteria lookups, pivot tables and conditional formatting - Strong written English communication skills. - Attention to detail, and willingness to learn concepts in AI and Evals Additional Information - Start Date : Immediate - Duration: Approximately 4–6 weeks - Payment: task-based. Experts who complete their first task within the required timeline will then be qualified to do multiple tasks for the remainder of the project. Contract and Payment Terms - You will be engaged as an independent contractor. - This is a fully remote role that can be completed on your own schedule. - Projects can be extended, shortened, or concluded early depending on needs and performance. - Your work at Aptura will not involve access to confidential or proprietary information from any employer, client, or institution. - Payments will be weekly following task completion. Getting Started - Apply with your details and CV. Choose an available 30-minute group walkthrough call. - Attend the walkthrough and create one original task from your own work. Submit the brief, the actual input workbook(s) needed to complete it. Input-file uploads are compulsory. - Write the brief yourself. Input workbooks must also be human-built. Use real data that has been sanitised, or public data with the source named. No AI usage allowed. - We run your task against current frontier AI models. If the models get it wrong, you then write a detailed yes-or-no rubric, and a reviewer signs off on the task with you. - Completing onboarding does not guarantee a job offer; selection remains subject to written approval of the task proposal. ## About Aptura Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows. ## About Aptura ## Company Overview - **One-liner**: Aptura helps train and evaluate AI to master real-world tasks in finance, healthcare, and legal sectors, specializing in reliable AI for regulated industries. - **Entity Type**: Private (Privately Held) - **Headquarters**: London, England, UK - **Founded**: 2025 (incorporated 10 April 2025) - **Founders**: Founded by ex-Lazard and Partners Group professionals (specific names not publicly disclosed) ## Core Business - **Primary industries**: AI training and evaluation, Data services, Technology/Internet - **Target customers**: Frontier AI labs, AI research organizations, and enterprises deploying AI in regulated industries (finance, healthcare, legal) - **Mission/Purpose**: To bring institutional expertise from finance, healthcare, and law directly into AI model development, enabling reliable AI deployment in regulated environments ## Products & Services - **RL Environments**: Real-world, rich environments loaded with finance, medical, and legal data, designed for verifiable rewards, custom tooling, and data licensing support. Agents complete tasks in finance spreadsheets, medical records, and legal documents with measurable outcomes. - **Curated Datasets**: Domain-specific high-quality data (medical imaging, financial models, legal contracts) structured for training and evaluation with domain nuance. - **Domain Expertise Services**: Internal team of physicians, attorneys, and investment analysts (with years of high-stakes experience) who work directly with AI researchers to scope and deliver projects, supported by a platform built for structured, high-quality data collection at scale. - **Verifiable Task Design**: Combining expert knowledge, curated datasets, engineering, and real-world tasks to create training grounds for agentic AI. ## Market Standing - **Funding**: Not publicly disclosed (company is private and early-stage) - **Key Metric**: Total employees of 26 (as of latest LinkedIn data) - **Notable Investors/Partners**: Works with "leading foundational AI labs" (names not publicly specified) - **Growth Signals**: 6,160 LinkedIn followers, active job postings across multiple domains (investment banking, radiology, legal, insurance), speaking engagements at industry events (e.g., Project A discussion on reinforcement learning) ## Competitive Advantages - **Domain-specific expertise**: Employs actual practitioners (physicians, attorneys, investment analysts) rather than generalist data labelers, enabling nuanced data and task design for regulated fields - **Focus on verifiable, measurable outcomes**: Uses real-world tasks with objective correctness (e.g., DCF models, dental scan interpretation, contract clause analysis) rather than subjective labeling - **Close collaboration with AI labs**: Works directly with frontier model developers, iterating rapidly on data and evaluation - **Regulated industry specialization**: Addresses a critical gap where general-purpose AI training data fails to meet the complexity and standards of finance, healthcare, and legal applications ## Strategic Focus - **Current priorities**: Building the infrastructure to bring institutional expertise (finance, legal, healthcare) into AI model training and evaluation at scale - **Direction**: Expanding from frontier labs to frontline deployment of reliable AI in regulated industries; recruiting domain experts across multiple sectors (investment banking, radiology, insurance, legal) on a part-time/flexible basis - **Partnership/event activity**: Active in the RL and AI research community, with CTO Armin Schöpf speaking at Project A on reinforcement learning ## Why Work Here - **Culture**: Mission-driven focus on building reliable AI for high-stakes domains; emphasis on domain expertise and real-world impact - **Remote/Hybrid Policy**: Fully remote positions available (e.g., "Fully remote, part-time, and flexible" for expert roles; Investment Banking Associate roles listed as "Remote"); also has offices in London and San Francisco - **Compensation**: Competitive hourly rates ($80–$200/hour for expert contractor roles) with monthly retainer structures for ongoing engagements - **Work style**: Project-based and flexible engagements, targeting professionals who want to apply their domain expertise to cutting-edge AI development - **Team**: Small (~26 employees) but includes highly specialized domain experts and AI researchers; likely high ownership and impact per person ## Sources 1. [aptura.ai](https://www.aptura.ai/) 2. [LinkedIn - Aptura](https://www.linkedin.com/company/apturaai) 3. [Jobs.ashbyhq.com - Aptura Careers](https://jobs.ashbyhq.com/aptura) 4. [GOV.UK - APTURA AI UK LTD](https://find-and-update.company-information.service.gov.uk/company/16378696) 5. 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