Build Practical Skills for AI Data Annotation & Evaluation

A hands-on training program for non-technical professionals who want to understand real AI workflows, build portfolio-ready experience, and prepare for entry-level AI work.

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No coding required · Practical projects · Portfolio-ready work · Certificate of completion

AI CAREER OPPORTUNITIES

What Can AI-Related Work Pay?

Annotation & AI support

ENTRY-LEVEL

$15–$25+/hr

AI evaluation & training

SPECIALIZED

$20–$50+/hr

Specialized AI evaluation

EXPERT-LEVEL

$50–$100/hr

A BETTER STARTING POINT

AI careers are not only for programmers.

Modern AI teams need people who can interpret language, understand nuance, spot ambiguity, and make careful decisions. Those are deeply human skills.

YOUR FOUNDATION

Humanities skills are an advantage—not a detour.

Your academic and professional background has already trained you to interpret complex information, recognize nuance, evaluate arguments, communicate clearly, and make thoughtful judgments. SAPIVRA helps you apply those abilities to real AI Operations workflows.

Your background has already trained you to interpret complex information, recognize nuance, communicate clearly, and make thoughtful judgments. We help you apply those abilities to real AI Operations workflows.

Close reading → pattern recognition

Interpretation → guideline application

Clear writing → reliable documentation

AI Data Labeling is the first entry path.

AI Data Labeling is the Academy’s first practical learning path: an accessible entry point for applying human judgment to real AI Operations workflows and building fluency for the broader field.

Understand the task

Apply sound judgment

Build professional fluency

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What you’ll learn.

AI Operations Foundations

Understand how human expertise supports the development, evaluation, and improvement of AI systems.

Understand how human expertise supports AI systems.

Guideline Interpretation

Learn how to read detailed instructions and apply criteria consistently.

Read detailed instructions and apply criteria consistently.

Data Labeling and Quality

Practice classifying, reviewing, and labeling information with accuracy and sound judgment.

Classify and review information with accuracy and sound judgment.

Career Direction

Understand how Data Labeling connects to AI Evaluation, Quality, multilingual work, AI Safety, and AI Red Teaming.

See how Data Labeling connects to broader AI Operations paths.

Build the foundations needed to understand and perform entry-level AI Operations work.

What you’ll leave with.

Certificate of Completion

Receive a certificate after successfully completing the pilot requirements.

Understand how human expertise supports AI systems.

Portfolio-Ready Project

Complete practical AI work you can include in your professional portfolio.

Read detailed instructions and apply criteria consistently.

Hands-On AI Experience

Practice real decision-making and workflow tasks used in entry-level AI Operations work.

Classify and review information with accuracy and sound judgment.

Career Direction

Understand how Data Labeling connects to AI Evaluation, Quality, multilingual work and AI Safety.

See how Data Labeling connects to broader AI Operations paths.

Build the foundations needed to understand and perform entry-level AI Operations work.

Learn by thinking, deciding, and applying.

This is an interactive, app-based learning experience—not a library of prerecorded lectures.

Learn the concept

Make a decision

Receive immediate feedback

Apply the skill in a realistic scenario

Built for people who work with meaning.

You may come from linguistics, education, writing, theology, history, philosophy, communication, research, translation, or another field centered on language, meaning, culture, and human judgment.

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Built from a real career transition

Meet the founder.

SAPIVRA was founded by Jader Fonseca Silva, an AI Evaluation professional whose career began in the humanities. After discovering that skills such as interpretation, language, critical thinking, and careful judgment were directly applicable to AI work, he transitioned into multilingual LLM evaluation, data labeling, model benchmarking, and structured AI assessment.

SAPIVRA was founded by Jader Fonseca Silva, an AI Evaluation professional with a humanities background. His transition into multilingual LLM evaluation, data labeling, and model benchmarking inspired the Academy’s mission: helping humanities and language professionals apply their existing strengths to AI Operations.

The Academy was created to help other humanities and language professionals recognize, develop, and redirect those same strengths toward practical opportunities in AI Operations.

Jader Fonseca Silva

Founder & AI Evaluation Professional

AI Evaluation · Multilingual LLM Evaluation · AI Benchmarking · Humanities Background · Master’s Student in AI Engineering

LinkedIn: linkedin.com/in/jaderfonseca

FOUNDING COHORT · FUTURE LAUNCH

Join the first learning experience.

Waitlist members will be the first to receive program details, early cohort dates, and opportunities to help shape the learning experience.

Interactive AI Data Labeling learning path

Weekly group support

Small, carefully selected cohort

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Questions, answered.

Do I need a technical background?

Is the Alexandria Pilot the full Sapivra program?

What will the first learning path focus on?

Join Waitlist for the Next Training

Complete the initial application, Receive launch updates, Founding Cohort details.

No payment or commitment is required.