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 • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property and Casualty coverage, and converts prospects into policyholders. The role includes paid licensing and training, customer relationship development, sales closing, and brand representation. Employees work remotely, follow assigned weekday and weekend schedules, and must maintain a professional home workspace with qualifying wired internet. Two years of sales or service experience is required; a P&C license is required after hire.
Top Skills:
PcWired High-Speed Internet
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.
Top Skills:
Ai TechnologiesApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architect and build production AI security systems spanning endpoint sensors and cloud-scale infrastructure. Lead autonomous cyber defense capabilities, including detection, threat hunting, response, adversary simulation, secure agent execution, and model evaluation. Establish technical direction, benchmarks, and safety practices while mentoring senior engineers and researchers. Carry frontier AI research into the Falcon platform and represent the company through publications, open source, standards, and industry collaboration.
Top Skills:
Adversarial Machine LearningAgentic ArchitecturesCC++Cloud SecurityCyber RangesDistributed SystemsEndpoint SecurityGoGpu InferenceKernel-Mode TelemetryLarge Language Models (Llms)PythonReinforcement LearningReward ModelingRustSandboxed ExecutionSglangSIEMStreaming Data InfrastructureSynthetic DataTensorrt-LlmTritonUser-Mode TelemetryVllm
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
