Develop and evaluate realistic Excel tasks and solutions for AI training data. Apply advanced Excel capabilities including formulas, PivotTables, data modeling, dashboards, Power Query, Power Pivot, and VBA across multiple industries and business functions. Provide written feedback, close research knowledge gaps, improve model performance, and collaborate with subject matter experts. Requires reliable weekday availability, initially 40 hours per week and 20 hours thereafter.
This role is for one of our clients
Compensation: $70 - $100 per hour
We're seeking advanced Excel experts with broad, cross-industry experience — versatile professionals who have applied Excel at an expert level across a range of functions and industries, rather than in a single niche. Your expertise will directly elevate the quality of the training data behind the most advanced Large Language Models.
This role is for generalists who bring genuine breadth — modeling, data analysis, dashboards, and automation applied across multiple domains and business functions.
Requirements
Key Responsibilities
- Guide research teams to close knowledge gaps and improve AI model performance on Excel-based tasks across a range of domains.
- Design realistic Excel tasks drawn from your professional experience, and write accurate, well-structured solutions.
- Evaluate Excel tasks and solutions and provide clear, written feedback.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
Core Qualifications
- Demonstrated advanced, professional-level Excel expertise, including advanced formulas (e.g., XLOOKUP, INDEX/MATCH, dynamic arrays), PivotTables, data modeling, dashboards, Power Query, Power Pivot, and macros/VBA.
- Breadth of Excel application across multiple industries and business functions — not single-function specialization — is a strong plus.
- Teaching or training experience and/or a PhD is a strong plus.
- Prior experience in AI training, human data annotation, or model evaluation — ideally Rubrics-trained on Mercor or a comparable platform — is a strong plus.
- Demonstrable career progression in your field.
- Ability to engage reliably for 40 hours/week during weekdays through the end of September, then 20 hours/week thereafter.
- Verbal and written communication skills, problem-solving skills, and interpersonal skills.
- United States–based only.
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.
Top Skills:
Ai GovernanceAiqasAirifArtificial IntelligenceComputerized SystemsGxpImexLeanMachine LearningSix Sigma
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Provides strategic leadership for Computer System Assurance and quality oversight of regulated GMP/GDP computer systems across global pharmaceutical sites and Digital organizations. Establishes risk-based assurance, validation, monitoring, governance, inspection readiness, and compliance practices. Leads complex investigations, audits, regulatory-inspection support, process improvements, and cross-functional initiatives involving Digital, artificial intelligence, automation, and federated solutions. Advises senior leaders, influences stakeholders without direct authority, and deputizes for the Global Process Owner.
Top Skills:
21 Cfr Part 11Artificial IntelligenceAutomationCloud ComputingComputer System AssuranceComputerized-System ValidationContinuous MonitoringEu Annex 11Federated SystemsGamp 5GdpGmpIch Q9ImexLeanSix Sigma
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Drives sales and customer relationships for Pfizer’s neuroscience migraine portfolio within an assigned territory. Develops territory call plans, engages healthcare providers in person and virtually, educates customers on approved product and disease-state information, identifies strategic business opportunities using analytics, collaborates cross-functionally, and completes administrative responsibilities compliantly.
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
