Description review
Quantitative Readouts Specialist - Remote | Upto $120/hr
mercor · Canada · back to the listing
HR standards
80/100
solid
Title ↔ description
47/100
poor
Reads as
Unclear
no confident match
What this role officially is
data analyst — ESCO, the EU occupation classification
Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.
Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst
How others title the same work
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- Operations Insights, Tax Stripe
Startups
- Senior Data Analyst Camber
- Senior Data Analyst Confido
What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data analysis / quantitative readouts Evaluator
Type:Contract
Compensation:$80–$120/hour
Location:Remote
Role Responsibilities
• Evaluate AI-generated artifacts against domain-specific quality rubrics.
• Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks.
• Provide clear, structured written feedback to improve AI model outputs.
• Apply deep subject-matter expertise to grade outputs for accuracy and rigor.
• Work independently and asynchronously to meet deadlines while enhancing domain quality.
Qualifications
Must-Have
• 5+ years of relevant professional experience in Data analysis / quantitative readouts.
• Native or professional fluency in English.
• Highly proficient in Microsoft Office and Google Workspace, especially Slides.
Preferred
• Advanced degree (Master's or higher) from a reputable institution.
Application Process (Takes 20–30 mins to complete)
• Upload resume
• AI interview based on your resume
• Submit form
Resources & Support
• For details about the interview process and platform information, please check:
• For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data analysis / quantitative readouts Evaluator
Type:Contract
Compensation:$80–$120/hour
Location:Remote
Role Responsibilities
• Evaluate AI-generated artifacts against domain-specific quality rubrics.
• Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks.
• Provide clear, structured written feedback to improve AI model outputs.
• Apply deep subject-matter expertise to grade outputs for accuracy and rigor.
• Work independently and asynchronously to meet deadlines while enhancing domain quality.
Qualifications
Must-Have
• 5+ years of relevant professional experience in Data analysis / quantitative readouts.
• Native or professional fluency in English.
• Highly proficient in Microsoft Office and Google Workspace, especially Slides.
Preferred
• Advanced degree (Master's or higher) from a reputable institution.
Application Process (Takes 20–30 mins to complete)
• Upload resume
• AI interview based on your resume
• Submit form
Resources & Support
• For details about the interview process and platform information, please check:
• For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas