Data quality / CRM operations Evaluator in Canada Creek, Nova Scotia at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Quality / CRM Operations Evaluator based in Canada.

This is a fully remote, flexible opportunity for an experienced data quality or CRM operations professional to apply their expertise to AI-generated work.
You will evaluate documents, spreadsheets, presentations, and other business artifacts for accuracy, rigor, and domain-specific quality.
Your professional judgment will help determine whether AI-generated outputs meet practical standards used in real-world data and CRM environments.
The role combines subject-matter expertise, critical analysis, and structured written feedback.
You will work independently while applying clear evaluation rubrics and quality criteria consistently across different assignments.
This is an hourly, project-based engagement suited to professionals who enjoy analytical work and emerging AI applications.
Your expertise will contribute to improving the reliability and usefulness of next-generation AI systems.

• Evaluate AI-generated documents, spreadsheets, slide decks, and other work products against established, domain-specific quality rubrics.
• Assess outputs for accuracy, completeness, rigor, consistency, and practical relevance within data quality and CRM operations contexts.
• Identify factual, analytical, formatting, presentation, and other quality-related errors or inconsistencies.
• Apply professional expertise to determine whether AI-generated outputs meet expected standards and business requirements.
• Provide clear, structured, and actionable written feedback explaining issues and opportunities for improvement.
• Maintain consistency and objectivity when evaluating different outputs and assignments.
• Use your experience in data quality and CRM operations to identify issues that may not be apparent through automated evaluation alone.
• Contribute high-quality expert judgment that can help improve the performance, reliability, and usefulness of AI-generated business content.

• 5+ years of relevant professional experience in data quality, CRM operations, or a closely related field.
• Native or professional fluency in English, with strong written and verbal communication skills.
• Strong understanding of data quality principles, CRM processes, operational workflows, and business data standards.
• Excellent attention to detail and the ability to identify subtle factual, logical, structural, and presentation issues.
• Highly proficient with Microsoft Office and Google Workspace, particularly Google Slides and/or Microsoft PowerPoint.
• Strong analytical and critical-thinking skills, with the ability to evaluate complex information objectively.
• Ability to communicate findings clearly through concise, structured written feedback.
• Comfortable working independently in a remote environment and managing assignments with minimal supervision.
• Ability to apply evaluation criteria consistently while exercising sound professional judgment.
• A Master’s degree or higher from a reputable institution is considered an advantage.

• Fully remote work that can be completed on your own schedule.
• Flexible, hourly independent-contractor engagement.
• Weekly payments through Stripe or Wise based on services rendered.
• Opportunity to apply your professional expertise to cutting-edge AI evaluation and development projects.
• Exposure to emerging AI technologies and real-world applications of human expertise in AI training.
• Projects may be extended, shortened, or concluded early depending on project needs and performance.
• No requirement to access confidential or proprietary information from previous employers, clients, or institutions.
• Opportunity to contribute to improving the accuracy, quality, and reliability of next-generation AI systems.
• Referral opportunity: earn up to $480 per successful referral, subject to applicable restrictions.
• Please note that H-1B and STEM OPT candidates cannot currently be supported for this engagement.