Prepare for Remote AI Work with Practical Data Annotation Skills

Learn AI data annotation and evaluation through hands-on training designed for non-technical professionals preparing for entry-level remote AI work.

Start with Module 1 free

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

Where Sapivra learners have found opportunities

No formal company partnership implied

No formal company partnership implied

Student success

From training to opportunity.

Theo completed Sapivra’s pilot training program and, one week later, secured an interview and an offer.

Theo completed Sapivra’s pilot training program and, one week later, secured an interview and an offer.

Theo completed Sapivra’s pilot training program and, one week later, secured an interview and an offer.

Completed the Sapivra pilot training

Secured an interview within one week

Received an offer shortly after training

“I was honestly surprised. Just one week after completing the training, I received a job offer from Tundra as a Data Labeling Analyst.”

“I was honestly surprised. Just one week after completing the training, I received a job offer from Tundra as a Data Labeling Analyst.”

Theo Pierre-Canel

LinkedIn: linkedin.com/in/theophile-pierre-canel/

LinkedIn: linkedin.com/in/theophile-pierre-canel/

Why this matters

AI careers are not only for programmers.

AI data work depends on human judgment, language, context, and consistency — skills many non-technical professionals already use every day.

AI data work depends on human judgment, language, context, and consistency — skills many non-technical professionals already use every day.

AI data work depends on human judgment, language, context, and consistency — skills many non-technical professionals already use every day.

Interpretation

Understanding meaning and intent

Research

Working carefully with information

Communication

Applying guidelines consistently

Your background may already be more relevant to AI work than you think.

Who this is for

Built for people entering AI from non-technical backgrounds.

Especially relevant for professionals in language, humanities, education, research, writing, communication, customer experience, and career transition.

Especially relevant for professionals in language, humanities, education, research, writing, communication, customer experience, and career transition.

Language

Language

Humanities

Humanities

Education

Education

Research

Research

Writing & Communication

Writing & Communication

Customer Experience

Customer Experience

Career Changers

Career Changers

You don’t need a traditional technical background to start building practical AI skills.

Ready to build skills you can actually use?

Start with Module 1 free. No payment required. Continue with the full program when you’re ready.

Start with Module 1 free. No payment required. Continue with the full program when you’re ready.

Start with Module 1 free. No payment required. Continue with the full program when you’re ready.

Start with Module 1 free

No payment required to start.

Module 1 free · No coding required · Learn at your own pace

What you’ll learn

Build the judgment behind high-quality AI data work.

A practical path from foundational annotation skills to quality evaluation and real-world work simulation.

01

Foundations & Guidelines

Foundations & Guidelines

Understand AI data workflows and learn how to apply project instructions consistently.

02

Consistency & Quality

Consistency & Quality

Learn how annotation quality is reviewed, where errors happen, and how consistency is maintained.

03

AI Quality Evaluation

AI Quality Evaluation

Practice identifying unsupported claims, hallucinations, ambiguity, and responses that may need review.

04

Real Work Simulation

Real Work Simulation

Work through realistic annotation and evaluation scenarios modeled after real project workflows.

05

From Training to Opportunity

From Training to Opportunity

Learn how to describe your skills, organize portfolio-ready work, and prepare for AI data roles.

How it works

Learn by doing, not just watching.

Sapivra combines guided learning, real decisions, feedback, and independent practice so you build skills through application.

Sapivra combines guided learning, real decisions, feedback, and independent practice so you build skills through application.

Sapivra combines guided learning, real decisions, feedback, and independent practice so you build skills through application.

01

Learn

Learn

Short, structured lessons introduce the concepts and project rules.

Short, structured lessons introduce the concepts and project rules.

→

→

02

Decide

Decide

Make real annotation and evaluation decisions yourself.

Make real annotation and evaluation decisions yourself.

→

→

03

Get Feedback

Get Feedback

Understand why a decision works — or where it needs adjustment.

Understand why a decision works — or where it needs adjustment.

→

→

04

Practice Independently

Practice Independently

Complete datasets and tasks on your own.

Complete datasets and tasks on your own.

Build portfolio-ready evidence as you complete the program.

Build portfolio-ready evidence as you complete the program.

What you’ll leave with

More than training. Something you can actually show.

By the end of the program, you’ll have practical work, clearer direction, and evidence of the skills you’ve built.

By the end of the program, you’ll have practical work, clearer direction, and evidence of the skills you’ve built.

Certificate of Completion

Certificate of Completion

A certificate recognizing your completion of the Sapivra training program.

A certificate recognizing your completion of the Sapivra training program.

Portfolio-Ready Work

Portfolio-Ready Work

Completed exercises and practical work you can organize into a professional portfolio.

Completed exercises and practical work you can organize into a professional portfolio.

Hands-On AI Experience

Hands-On AI Experience

Experience making annotation and evaluation decisions inside realistic AI workflows.

Experience making annotation and evaluation decisions inside realistic AI workflows.

Career Direction

Career Direction

A clearer understanding of entry-level AI data roles and how your skills connect to them.

A clearer understanding of entry-level AI data roles and how your skills connect to them.

Early access pricing

Start with Module 1 free.

No payment required. Continue with the full program when you’re ready.

No payment required. Continue with the full program when you’re ready.

Module 1 free

Then

$199.00

$199.00

one-time payment

6 months of full program access

Start with Module 1 free

No payment required to start.

Included:

✓

Full access to the remaining modules

✓

Hands-on annotation and evaluation practice

✓

AI quality review and real-world scenarios

✓

One structured project for your portfolio

✓

Certificate of completion

✓

Next-step guidance for AI roles

✓

6 months of full program access

✓

Future course updates during your access period

Early launch price. Future pricing may change as the program expands.

FAQ

Questions before you start?

Here’s what you should know before beginning your Sapivra training.

Here’s what you should know before beginning your Sapivra training.

Here’s what you should know before beginning your Sapivra training.

Do I need coding experience?

How does Module 1 free access work?

What happens after Module 1?

Is Sapivra self-paced?

How much time should I expect to spend on the program?

Will I receive a certificate?

Will I build something I can use in my portfolio?

Does Sapivra guarantee a job or interview?

Portrait of Jader Fonseca Silva

Meet the Founder

Meet the Founder

Built from a real career transition.

Built from a real career transition.

Sapivra was founded by Jader Fonseca Silva, an AI Evaluation professional with a humanities background. His experience in multilingual LLM evaluation, data labeling, and AI benchmarking inspired Sapivra’s mission to help non-technical professionals build practical skills for AI work.

Sapivra was founded by Jader Fonseca Silva, an AI Evaluation professional with a humanities background. His experience in multilingual LLM evaluation, data labeling, and AI benchmarking inspired Sapivra’s mission to help non-technical professionals build practical skills for AI work.

Jader Fonseca Silva

Jader Fonseca Silva

Founder & AI Evaluation Professional

Founder & AI Evaluation Professional

AI Evaluation · Multilingual LLM Evaluation · AI Benchmarking · Humanities Background

AI Evaluation · Multilingual LLM Evaluation · AI Benchmarking · Humanities Background

linkedin.com/in/jaderfonseca

linkedin.com/in/jaderfonseca

SAPIVRA

SAPIVRA

A practical route into responsible AI work.

A practical route into responsible AI work.

© 2026 SAPIVRA. All rights reserved.

© 2026 SAPIVRA. All rights reserved.