Data Analyst (AI/ML)

TL;DR

Data Analyst (AI/ML): Designing and implementing dashboards, data pipelines, and reporting layers to measure the performance and efficiency of the Data Labeling Team with an accent on identifying friction and enabling high-precision decisions. Focus on transforming how labeling operations are measured and scaled, influencing ML performance, customer delivery, and internal alignment.

Location: Must be based in Mexico

Company

hirify.global is a Series B unicorn ($1.25 B valuation) that provides AI-powered identity solutions, helping leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy.

What you will do

• Design dashboards and reporting tools to track labeling throughput, SLA compliance, and reviewer performance.
• Define and implement new metrics to measure labeling quality, accuracy, efficiency, and cost.
• Provide analytical support to ML Engineering, Product, and Sales/CS on labeling impact.
• Model task complexity, labeling speed, and reviewer dynamics across tools and task types.
• Build data pipelines consolidating data from SQL, annotation tools, and QA audits into a coherent source of truth.
• Enable the labeling organization to move from intuition to instrumentation by making operational data accessible and reliable.

Requirements

• 4–7 years of experience as a data analyst, business analyst, or ops analyst, preferably in tech, fintech, or ML/ops settings.
• Strong SQL skills (Redshift preferred) for joining large datasets and building reproducible queries.
• Proficiency in dashboarding tools like Tableau, Metabase, or Looker.
• Working knowledge of Python for automation or data exploration.
• Proven success owning end-to-end analytics cycles from question to insight to impact.
• English: B2 required

Culture & Benefits

• Flexible Working Hours & Workplace.
• Open Vacation Policy.
• Culture of high performance, freedom, responsibility, and continuous feedback.
• Opportunity to shape how billions of people prove identity safely and ethically.
• Work with a global team with top engineers, designers, and investors.