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
Software • Analytics • Hospitality
Supports cross-channel marketing attribution and influence modeling by documenting data sources, defining business rules, mapping and normalizing interaction data, testing reporting prototypes, and recommending implementation steps. The intern also assists with AWS marketing data organization, segmentation research, data hygiene, process documentation, and stakeholder communications. The role requires analytical thinking, thorough documentation, clear communication, and collaboration across marketing and technical teams.
Top Skills:
AWSData ModelingData VisualizationHubspotMarketing AutomationSalesforceSpreadsheetsSQL
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads partner-delivered incident response engagements, coordinating customers, partners, counsel, and CrowdStrike leadership. Oversees forensic investigations, project deliverables, executive communications, malware analysis, threat hunting, and security posture recommendations. Coaches partners on host and network forensics across Windows, macOS, and Linux. Reviews reports for quality, manages cross-functional workflows, improves internal processes, and maintains documentation and templates.
Top Skills:
AILinuxmacOSWindows
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Oversee partner-led incident response and forensic investigations, coordinating CrowdStrike, customers, legal counsel, and external responders. Review investigation quality, scope, findings, reports, and remediation recommendations. Coach partners on host and network forensics, malware analysis, threat hunting, and executive communications across Windows, macOS, Linux, and cloud environments. Support partner relationships, mentor responders, provide thought leadership, and help mature customer security postures.
Top Skills:
Ai TechnologiesAWSAzureBro/ZeekComputer ForensicsGCPIncident ResponseLinuxmacOSMalware AnalysisNetwork ForensicsReverse EngineeringSuricataWindows
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering


