Domain Expert, AI Evaluation Task Writer: Sales (Contract, Remote)
关于 Patrus AI,PatronusAI 是一个开发模拟研究和基础设施的边界实验室,以加速人类对 AGI 的进展。我们在任务上模拟所有世界智能。我们是金融银行,林克斯,简单安全测试,版权捕捉器,人文最后考试等 AI 评估领域最早和影响力最大的研究团队。我们以前是 Meta AI,亚马逊 AGI 和谷歌等公司的 AI 研究人员和工程师。我们的客户包括基金会模型实验室和 Adobe 等财富500企业。我们得到了 Lightspeed 风险投资者,著名资本,斯坦福大学,诺姆布朗,戈古尔·拉贾兰等顶级投资者的支持。一看 · 承诺:独立承包商,完全远程,异步 · 付费:50-150美元/小时创作任务,支付当完成完整的任务提交,加上每项被接受的任务的潜在奖金。强大的业绩人员在该范围内或基于生产力的薪水上升。试验任务是支付的。· 承诺:10+个小时 /周 · 开始:滚动,你通过试验任务 · 地点:远程角色 你将设计一个合格的专业人员可以用正确的知识和工具来解决现实销售任务,而当今的人工智能模型会错误。每个任务都围绕着我们提供的场景构建。你创建的工作文件,你的角色中的某个人实际上处理,写请求,自己解决并定义答案如何得到评级。你的工作成为边界模型的评估和培训数据。你不需要人工智能背景。你必须是那种销售专业人士注意到交易标记了承诺没有冠军和签名日期。我们聘请的领域 · 招聘和资格:通过首席资格和路由,出发序列和调用计划,发现准备和向账户执行官传递 ·交易执行和关闭:从发现和合格 (MEDDICC,SPICED 或类似)到多线程的交易计划,建议,定价和折扣批准,订单表格,谈判和关闭 ·续售和帐户管理:销售后拥有商业簿,包括上网转让,健康和使用审查,更新报价和实行,扩张和上市,风险升级和业务评估 ·销售运营:其他三个系统和数字
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About Patronus AI
Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s intelligence.
We are the team behind some of the earliest and most influential research in AI evaluation likeFinanceBench, Lynx,SimpleSafetyTests,CopyrightCatcher,Humanity’s Last Exam, and more. We are formerly AI researchers and engineers from companies like Meta AI, Amazon AGI, and Google. Our customers include foundation model labs and Fortune 500 enterprises like Adobe. We are backed by top-tier investors like Lightspeed Venture Partners, Notable Capital, Stanford University, Noam Brown, Gokul Rajaram, and more.
At a glance
- Engagement: Independent contractor, fully remote, asynchronous
- Pay: $50-150/hr for task authoring, paid when the full task is submitted, plus a potential bonus for each accepted task. Strong performers move up within that range or onto productivity-based pay. The trial task is paid.
- Commitment: 10+ hours per week
- Start: Rolling, as soon as you pass the trial task
- Location: Remote
The role
You'll design realistic sales tasks that a qualified professional could solve with the right knowledge and tools, and that today's AI models get wrong. Each task is built around a scenario we provide. You create the working documents someone in your role would actually handle, write the request, solve it yourself and define how the answer gets graded. Your work becomes evaluation and training data for frontier models.
You don't need an AI background. You do need to be the kind of sales professional who notices the deal marked Commit that has no champion and no signature date.
Areas we're hiring for
- Prospecting and qualification: SDR and BDR work from ICP and account research through lead qualification and routing, outbound sequences and call plans, discovery preparation and the handoff to an account executive
- Deal execution and closing: account executive work from discovery and qualification (MEDDICC, SPICED or similar) through multi-threaded deal plans, proposals, pricing and discount approvals, order forms, negotiation and close
- Renewals and account management: post-sale ownership of a book of business, including onboarding handoff, health and usage reviews, renewal quotes and true-ups, expansion and upsell, churn-risk escalation and business reviews
- Sales operations: the systems and numbers behind the other three areas, including pipeline and forecast rollups, CRM data integrity and stage exit criteria, territory and quota planning, lead routing rules, commission and SPIFF calculation and sales reporting
What you'll do
- Build realistic evidence files from a provided scenario: CRM opportunity and activity exports, pipeline and forecast reports, lead lists and routing rules, prospect email threads and call notes, proposals and pricing sheets, quotes and order forms, discount approval requests, renewal schedules and usage reports, territory maps, quota plans and commission statements
- Write clear task requests that state what the deliverable is and how uncertainty and justified assumptions should be handled
- Solve each task end to end and document a reference solution with the reasoning behind every step
- Write explicit scoring criteria that let two independent graders reach the same verdict, including acceptable alternative answers and the limits of what the solver is authorized to offer or approve
- Run tasks against current models, find where and why they fail, and adjust difficulty
- Check your own and peers' tasks for ambiguity, errors, answers exposed in the materials and shortcuts that skip the intended reasoning
- Incorporate reviewer feedback within agreed turnaround times and flag guideline gaps or edge cases you run into
Who we're looking for
Required
- 3+ years of hands-on experience in one or more of the four areas above, as an SDR or BDR, account executive, account manager or customer success manager, or a sales, revenue or deal desk operations analyst or manager. You need to have carried the number or run the process yourself, not only managed people who did.
- Working command of the methods, rules and systems in your area (for example a qualification framework such as MEDDICC or SPICED, forecast categories and stage exit criteria, discount approval matrices and non-standard terms, commission plan mechanics and territory rules)
- Strong spreadsheet skills, and the habit of reconciling pipeline, quota and commission figures to their source
- Clear, precise writing in professional English
- Ability to work independently and asynchronously against deadlines
Nice to have
- Experience in B2B SaaS, enterprise or mid-market selling, across more than one motion (inbound, outbound, partner or product-led)
- Experience with the systems used in your area, such as Salesforce or HubSpot, Outreach or Salesloft, Gong or Chorus, Clari, Salesforce CPQ or DealHub, and CaptivateIQ or Xactly
- Sales enablement, training or onboarding experience, or having written playbooks, call scorecards or certification exams
- Prior experience writing or reviewing AI evaluation tasks, exam questions, case studies or training material
- Familiarity with how AI models fail (invented customer facts, miscalculated discounts or commissions, overconfident forecasts, generic objection handling)
Our standards
- All tasks, documents and solutions are human-authored. LLM-generated content is not permitted.
- Tasks and solutions must be original. Nothing may be copied from published or easily searchable sources.
- Never use real customer, prospect, employer or personal data, or anything covered by an NDA or confidentiality obligation. All companies, people and scenarios are fictional.
- Quality is judged on accuracy, rubric validity, difficulty and reviewer agreement, not volume.
How hiring works
- Short AI interview and resume review
- One paid trial task, scored against a fixed quality checklist
- Onboarding and your first project
We aim to make a decision within two weeks of your application.
Patronus AI is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
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Originally posted on Himalayas