At a Glance
- Tasks: Evaluate AI-generated spreadsheets for quality and provide structured feedback.
- Company: Partner company focused on innovative AI solutions.
- Benefits: Earn $80–$120 per hour, work fully remote with flexible hours.
- Other info: Collaborate with experts and enjoy an independent work environment.
- Why this job: Make a real impact on the accuracy of emerging AI systems.
- Qualifications: 5+ years in spreadsheet QA and strong analytical skills required.
The predicted salary is between 120 - 120 £ per hour.
This position is listed on behalf of a partner company, who manages all applications and next steps.
Our partner is looking for a Spreadsheet QA / Workbook Maintenance Evaluator based in Canada.
This contract role is ideal for an experienced spreadsheet professional who combines technical precision with strong quality-assurance skills.
You will evaluate AI-generated spreadsheets and related work products against detailed quality standards.
Your expertise will help identify calculation errors, inconsistencies, formatting issues, and other problems that could affect the reliability of a workbook.
You will provide structured feedback designed to improve the accuracy, usability, and presentation of AI-generated outputs.
The role also involves collaborating with subject-matter experts to ensure evaluations are rigorous and relevant.
Working remotely and asynchronously, you will have a direct impact on improving the quality and performance of emerging AI systems.
Accountabilities
- Evaluate AI-generated spreadsheets, workbooks, and related artifacts against established quality rubrics and domain-specific standards.
- Review workbooks for accuracy, consistency, completeness, usability, formatting, and overall presentation quality.
- Identify calculation issues, inconsistencies, structural problems, formatting defects, and other errors that could compromise workbook quality.
- Provide clear, structured, and actionable written feedback to support improvements in AI-generated spreadsheet outputs.
- Apply strong spreadsheet QA and workbook-maintenance expertise to assess the reliability and practical usability of generated work products.
- Collaborate with subject-matter experts to validate findings and maintain accuracy and rigor across evaluations.
- Work independently and asynchronously while meeting deadlines and consistently maintaining high-quality standards.
Requirements
- 5+ years of relevant professional experience in spreadsheet quality assurance, workbook maintenance, financial or operational spreadsheet management, or a closely related field.
- Native or professional-level fluency in English, with strong written communication skills.
- Highly proficient in Microsoft Office and Google Workspace, with particular strength in spreadsheet and presentation tools.
- Strong understanding of spreadsheet structure, formatting, data integrity, formulas, and workbook quality control.
- Exceptional attention to detail and the ability to identify subtle errors and inconsistencies in complex workbooks.
- Strong analytical and problem-solving skills, with the ability to assess spreadsheet outputs objectively.
- Ability to provide clear, structured, and constructive feedback based on defined evaluation criteria.
- Comfortable working independently in a remote, asynchronous environment while managing multiple priorities and deadlines.
- An advanced degree, such as a Master’s degree or higher, from a reputable institution is preferred.
Benefits
- Competitive contract compensation of
- Fully remote work environment.
- Flexible, asynchronous working structure.
- Opportunity to apply specialized spreadsheet and QA expertise to the development and evaluation of AI systems.
- Meaningful contribution to improving the accuracy, reliability, and usability of AI-generated workbooks.
- Collaboration with subject-matter experts and exposure to emerging AI evaluation workflows.
- Independent work environment with flexibility around managing assignments and deadlines.
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Spreadsheet QA / workbook maintenance Evaluator employer: Jobgether
At Jobgether, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our remote working environment allows for flexibility while providing ample opportunities for professional growth and development in the tech industry. Join us to make a meaningful impact in enhancing open-source technology adoption, all while enjoying the benefits of a supportive team and a commitment to your career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Spreadsheet QA / workbook maintenance Evaluator
✨Showcase Your Skills with a Public Portfolio
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We think you need these skills to ace Spreadsheet QA / workbook maintenance Evaluator
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Spreadsheet QA / workbook maintenance Evaluator at Jobgether, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Jobgether.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Jobgether
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
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When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
