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Excel Quality Assurance Lead (QAL)

SME Careers Remote

Education

Any

Type

Pay Rate

$55/task

Listed

1d ago

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ExcelQAL-25-615

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About this Role

In this hourly, remote contractor role, you will work as an Excel Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Excel and spreadsheet AI training projects. You will review AI-generated Excel formulas, spreadsheet workflows, analysis explanations, and trainer/QA work; evaluate output quality against project guidelines; provide precise written feedback; and ensure contributors follow expected quality standards.

You will assess work for formula correctness, spreadsheet logic, data-analysis accuracy, model structure, clarity, reproducibility, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Excel quality leadership will help ensure spreadsheet training data is accurate, practical, clearly explained, and aligned with client expectations.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Important:
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

### Key Responsibilities
- Spot-check Excel/spreadsheet items and provide feedback through DMs.
- Review AI-generated formulas, spreadsheet workflows, financial models, data-cleaning steps, pivot-table guidance, charts, and explanations.
- Communicate guideline changes and Excel-specific standards on Discord.
- Answer questions around formulas, references, lookup logic, dynamic arrays, pivot tables, Power Query, modeling assumptions, and rubric interpretation.
- DM inactive contributors and manage activation follow-ups.
- Create Excel documentation, style guides, examples, trackers, FAQs, honeypots, and onboarding materials.
- Run onboarding/training calls for Excel contributors.
- Flag misleading analysis, fragile spreadsheet logic, incorrect formulas, or risky business/financial assumptions.
- Improve QA processes based on recurring spreadsheet-quality gaps.

### Your Profile
- Bachelor’s or Master’s degree in Finance, Accounting, Business, Data Analytics, Economics, Statistics, Operations, Information Systems, or equivalent professional experience.
- Strong grasp of English to follow guidelines and provide clear feedback.
- 3+ years of professional experience using Excel for analysis, reporting, financial modeling, operations, BI, accounting, data cleaning, training, or spreadsheet QA.
- Strong understanding of formulas, functions, cell references, lookup logic, dynamic arrays, pivot tables, charts, conditional formatting, data validation, and spreadsheet modeling best practices.
- Ability to identify issues such as incorrect formulas, wrong references, circular logic, poor assumptions, missing edge cases, fragile models, misleading charts, or incomplete explanations.
- Familiarity with advanced Excel features such as XLOOKUP, INDEX/MATCH, SUMIFS, COUNTIFS, FILTER, SORT, UNIQUE, LET, LAMBDA, Power Query, Power Pivot, VBA/macros, Solver, and scenario modeling is preferred.
- Experience leading or supporting remote teams of trainers, analysts, reviewers, finance professionals, educators, or QAs is strongly preferred.
- Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, Excel Online, Google Sheets, and PM systems.
- Highly organized and able to maintain style guides, trackers, FAQs, honeypots, calibration tasks, and onboarding materials.
- Experience with AI training, data annotation, LLM evaluation, spreadsheet QA, or rubric-based review is a strong plus.

🌍 Geographic Availability
This role is available to qualified experts globally. However, as a U.S.-based company, SME Careers complies with U.S. export control and sanctions regulations. Eligibility depends on your country of residence and any applicable trade restrictions. Some projects may have additional language or region-specific requirements.

💰 Pay Rate May Vary Based on Your Location
Your actual compensation will be determined based on your location and local market conditions. See regional job listings for localized pay information, or the application process will clarify your specific rate.

If you're unsure whether you're eligible, proceed with the application—SME's screening will determine your jurisdiction status and applicable compensation.

Requirements

  • Advanced degree or strong hands-on professional experience in the domain
  • Ability to pass domain-specific qualification assessments
  • Eligible to create a verified account on Deel (for payments/compliance)
  • Proficiency in English (for instructions and feedback)
  • Available to applicants in 40+ countries

Compensation Analysis

Don't just label data—build a career. SME Careers is unique in the AI training space because it offers a transparent growth ladder. High performers aren't just kept in the queue; they are promoted to Quality Analysts and Project Managers. With weekly transparent payments via Deel and the freedom to work on your own schedule, this is built for modern experts who want long-term engagement.

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Frequently Asked Questions

Is there room for advancement?

Yes. This is a key feature of the platform. They explicitly list a career path: Data Trainer -> Quality Analyst -> QA Lead -> Project Manager. Consistent high-quality work can lead to leadership roles.

How do payments work?

Payments are processed weekly through Deel. This ensures tax compliance and allows them to hire freelancers from over 40 countries securely.

Is the work ongoing or project-based?

Work is project-based, which means assignments can vary in duration and availability. However, top performers often get priority access to new projects.

What does the work actually look like?

It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.

How flexible is the schedule?

Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.

Is there an interview?

Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.

Who is behind SME Careers?

SME Careers is the expert talent division of SuperAnnotate, a leading AI data infrastructure platform. They connect domain experts with high-level AI training projects.