FOR ANNOTATORS AND AI TRAINERS

Get qualified. Then get interviewed.

Data Gradient trains you on the workflows labs hire for, scores you on real tasks, and hands you a record they can verify.

Start free

See how it works

Models our annotators have trained:

OpenAI
Anthropic
Microsoft
NVIDIA
Meta
xAI
DeepMind

A. Rivera

ES / EN · MEXICO · MEMBER SINCE 2025

L3 · Reviewer

Preference rankingVerified · 94.2

SFT response writingVerified · 89.1

Multimodal annotationVerified · 84.6

DG-4F81-A2C9 · 418 tasks graded● Verified 3 days ago

2,840Annotators trained

11 daysMedian time to first gate

37Countries represented

1.2MPractice tasks graded

Annotators trained

0 days

Median time to first course

Countries represented

0.0M

Practice tasks graded

[01] Where our annotators work

Our people have trained models you’ve used.

Nearly all frontier data work sits under NDA, so annotators can’t name the lab or their work, and it certainly can't be verified. At Data Gradient, your work, your scores and your quality are known.

COMPLETED COURSE

Strategic Human Data Partner

A course on translating research and business needs into human-data programs, rubrics, workflows, quality standards, and delivery plans.

LIVE · HANDS-ON · COMPLETED

MULTIMODAL COURSE

Frontier Multimodal Data

A multimodal-data course with its most developed module focused on Video Temporal Evidence Grounding: identifying and structuring evidence across time in video.

LIVE · IN PROGRESS

COURSE

Understanding AI Systems

An introduction to how AI systems work and where human data supports training, post-training, and evaluation.

LIVE

COURSE

Prompt Writing

A course on writing clear, structured, and testable prompts, defining constraints, and identifying common failure modes.

LIVE

COURSE

Context Engineering

A course on structuring instructions, examples, tools, and supporting information so AI systems receive the right context.

LIVE

UPCOMING COURSE

How AI Is Trained

An upcoming course covering pretraining, post-training, evaluation, and the role of human data across the AI lifecycle.

PLANNED · JOIN THE WAITLIST

[02] The workflow

From no experience to production work.

Data Gradient currently provides courses, lessons, knowledge checks, and selected practice activities through Learn. Qualification, client matching, production simulation, and automated progression features are not currently available.

Choose a track

Pick the kind of AI data work you want to be qualified for. Most people start with preference ranking because it has no prerequisites and the widest demand, but nothing stops you from running several tracks at once.

Takes about 5 minutes

No applicationThere is no screening step for open tracks. You choose, and you start.

See the gate before you beginEach track shows its threshold, estimated hours, and what the graded tasks look like.

Switch freelyProgress is saved per track. Starting a second one doesn't reset the first.

Choose a course

Start by selecting the course you want to work through. You can focus on one course at a time and return to others whenever you want.

Step 1

Pick your starting pointChoose the course that matches what you want to learn right now.
Review what is availableOpen the course to see its lessons, activities, and checks.
Change later if neededYour progress is tracked, so you can switch focus without losing completed work.

[03] The credential

A record built from work, not claims.

At Data Gradient credential isn’t a certificate of attendance. It’s a live record of graded output. It says what you can do, how well you can do it, and how recently you did it.

L1 · TRAINED

Completed the coursework

Signals: you understand the workflow

You’ve finished the lessons and knowledge checks for a task type. This is a starting point, not a qualification. It doesn’t open any work on its own.

L2 · VERIFIED

Cleared the practice gate

Signals: your practice output meets the rubric

Your scored practice work is reviewed against a client’s rubric. This level does not currently unlock automatic project visibility or matching.

L3 · REVIEWER (PLANNED)

Review production work

Signals: your judgment meets the standard

Reviewer access is a planned credential level and is not currently available. It will let annotators review work and help calibrate rubrics once launched.

L4 · AUTHOR (PLANNED)

Teach others

Signals: you create the course

Course-author access is a planned credential level and is not currently available. It will let contributors create Data Gradient courses once launched.

[04] Skill tracks

Start where you are. Move toward scarcer work.

Basic labeling is crowded and priced accordingly. The tracks below are where demand outstrips supply, mostly because almost nobody trains people on them properly. Each one is open to you regardless of background. The gate is the only entry requirement.

Preference ranking & RLHF

High demand

Compare model responses against a rubric, justify the ranking, and handle multi-turn conversations where quality is contested rather than obvious.

~14 hrs to gate

No prerequisites

Any language

SFT response writing

High demand

Write the reference answer a model should have given. Strong writing matters more than technical background. This is the track most people underestimate.

~20 hrs to gate

Writing sample

Domain variants

Multimodal annotation

Steady demand

Image, video, and audio labeling with structured schemas: bounding, segmentation, action and affordance tagging, and temporal consistency.

~16 hrs to gate

No prerequisites

Tool-based

Adversarial red-teaming

Planned

Probe models for failures, document reproducible attacks, and rate severity. This track is planned and not currently available.

Planned

Not currently available

Planned

Code trajectory review

Planned

Grade agent runs, diffs, and repair traces. This track is planned and not currently available.

Planned

Not currently available

Planned

Expert domain review

Selective

Medicine, law, finance, and science. Credential verification required, and the pay reflects the scarcity of qualified reviewers.

~12 hrs to gate

License verified

Invitation

[05] Annotators

What changed for people who did the drills.

Data Gradient’s training made the data annotation process clear and practical. The real examples and guided exercises helped me sharpen my attention to detail and understand how annotation works in real AI workflows. The skills I gained directly helped me complete an assignment and secure a role as an Advanced Data Annotator at a stealth AI company.

Data Annotator

Early-stage AI Startup

DATA GRADIENT LEARNER

A single workshop with Data Gradient completely changed how I approach unstructured data. I learned how to produce clean, semantically structured outputs that AI models can actually use. Those skills directly helped me land a role at an AI automation startup.

Human Data

AI Automation Startup

DATA GRADIENT LEARNER

Data Gradient’s training transformed my understanding of annotation. What once seemed simple became a structured discipline with clear standards, edge-case reasoning, and QA practices. Shortly after completing the training, I received an interview, and the skills I learned were exactly what interviewers asked about.

Quality Analyst

AI Product Company

DATA GRADIENT LEARNER

The training was thorough, practical, and easy to follow. Working through real examples and annotating together as a group helped me quickly improve my approach. The hands-on experience prepared me well for real assignments, and I’d recommend this training to anyone looking to build strong, practical data skills.

Data Annotator

Frontier Lab

DATA GRADIENT LEARNER

Every platform I’d used before just told me my score dropped. This one told me which part of the rubric I was missing and gave me twenty tasks on exactly that.

Human Data Contributor

Global AI Platform

DATA GRADIENT LEARNER

Being able to show a client an actual acceptance rate instead of saying “trust me, I’ve done this” is the whole difference. I stopped competing on price.

Independent Reviewer

AI Data Programs

DATA GRADIENT LEARNER

[06] Questions

The things annotators ask first.

Does it cost anything?

No. Training, practice, and qualification are free, and they stay free. Clients pay for the workspace, the sandboxes built on their guidelines, and access to the qualified pool. You are not the customer, and we don't sell your data.

Does Data Gradient pay me, or is this a job board?

Do I need experience or a degree?

How long does it take to get qualified?

What if I fail the gate?

Can I take my record somewhere else?

What equipment do I need?

[07] Get started

Pick a track. Start the first drill.

Training is free, the practice is real work, and the credential is yours to keep. Most people clear their first gate within two weeks.

Create your profile

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