Design realistic, multi-step business operations benchmark tasks for evaluating AI systems. Responsibilities include creating workflows, reports, process documentation, spreadsheets, reference materials, and objective grading criteria. Candidates must identify ambiguous or ungradable tasks and deliver approved work on schedule. The role requires substantial hands-on operations experience, structured standards such as SOPs or QA checklists, strong Excel skills, and strong written and spoken English.
Job Description
- Role Title: Business Operations Expert
- Role Type: Contractor
- Location: Remote, global
Opportunity Snapshot
- Pay: Up to $90/hour equivalent
- Time per task: ~10 hours per task
- Location: Fully remote — no geographic restrictions. Strong English required (B2 minimum, C1 preferred)
- Next step: Complete the role-specific AI interview — it’s how your expertise gets in front of the client
- Your tasks: Design realistic, multi-step business operations tasks with objective criteria for grading the output
Overview:
Engaging experienced operations practitioners to design the tasks that measure what AI systems can actually do. Your domain knowledge is what matters here — no prior AI experience required.
The work is to turn real operational workflows into benchmark tasks: realistic, difficult, and gradable against objective criteria. If you’ve written an SOP, built a QA checklist, or trained a team against a standard, that’s the instinct this needs.
Scope of Work
- Design multi-step tasks drawn from real operations work — reporting, process design, workflow management — with realistic reference files and clear instructions.
- Define objective grading criteria so two qualified reviewers would reach the same verdict on the same output.
- Build tasks that require judgment rather than lookup: ones where the right answer depends on reading the materials correctly.
- Create or source the supporting materials each task needs: spreadsheets, system exports, process documentation, operational reports.
- Flag tasks that turn out to be ambiguous or ungradable instead of submitting them anyway.
- Deliver approved tasks on schedule and at the required quality level.
Preferred Qualifications
- 5+ years of hands-on responsibility in business operations, operations reporting, process design, or workflow management — direct ownership of the work, not supervisory-only or adjacent exposure.
- Experience creating or applying structured standards: SOPs, QA checklists, process documentation, service level definitions, or training assessments.
- Strong Excel capability and comfort reasoning across multiple documents at once.
- Strong English, written and spoken — B2 minimum, C1 preferred.
- AI or LLM evaluation experience is a plus, but not required.
How the selection process works
- Apply and complete the screening questions
- Complete the AI interview for this role.
- Onboarding — our Talent Ops team will get you set up
A very attractive and competitive package is offered.
Similar Jobs
HR Tech • Information Technology • Professional Services • Consulting
Design realistic, multi-step business operations benchmark tasks from real workflows. Create supporting materials such as spreadsheets, system exports, process documents, and operational reports. Define objective grading criteria, identify ambiguous or ungradable tasks, and deliver approved work on schedule. Requires hands-on operations, reporting, process design, or workflow management experience, plus strong Excel and English skills.
Top Skills:
AIExcelLlms
Payments • Financial Services
Own Clara’s AI operations strategy by identifying high-friction workflows, designing and scaling AI-powered automations, and measuring enterprise impact. Build workflows with N8N and LLM APIs, create Metabase dashboards, identify data gaps, support product launches, and collaborate with Engineering on Databricks pipelines. The role advises senior leaders across Product, Sales, Finance, and Engineering while establishing AI operations best practices and documentation.
Top Skills:
AnthropicClaude CodeCodexDatabricksGoogle DriveHubspotLlm ApisMakeMetabaseN8NOpenaiPythonSalesforceSlackSnowflakeSQLZapierZendesk
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Own and scale paid social and premium video channels, including strategy, media buying, optimization, budgeting, creative testing, and incrementality measurement. Build AI-powered workflows for campaign execution, QA, pacing, reporting, and insights. Partner with creative, agency, and product marketing teams while turning performance data into channel and budget decisions. This is a senior individual contributor role requiring extensive paid social, OLV/CTV, data measurement, and AI automation experience.
Top Skills:
AIAi AgentsAttributionCtvMarketing Mix Modeling (Mmm)MetaOlv
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



