Each skill has a threshold. Clearing it goes on your record. It belongs to you and not to a company. Take it to the next project, the next human data company, the next lab.
AR
A. Rivera
ES / EN · Mexico · Member since 2025
L2 · Verified
Preference rankingVerified · 94.2
SFT response writingVerified · 89.1
Multimodal annotationVerified · 84.6
DG-4F81-A2C9 · 418 tasks graded● Verified 3 days ago
0Annotators trained
0Median time to first course
0Countries represented
0Practice tasks graded
0Jobs listed, refreshed regularly
01 Where our annotators workOn Learn
Our people have trained state of the art
The most lucrative opportunities in AI training come from highly complex, frontier campaigns that have rigorous requirements.
You can go from low experience to getting the job of your dreams.
We train you and point you to opportunities. We offer a job board of 1,200+ opportunities.
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. You can switch focus without losing completed work.
Learn
Work through the lesson material in the course. This step is about understanding the guidance before you move into the hands-on parts.
Step 2
Read the lessonsGo through the learning content provided in the course.
Build understandingUse the examples to understand how the guidance is applied.
Move at your paceContinue when you are ready to start activities.
Complete available activities
Complete the activities that are currently available in your course. Activities help you apply what you just learned.
Step 3
Practice with activitiesWork through available tasks to apply the course guidance.
Focus on completionSubmit each available activity as you progress through the course.
Keep progressingFinish available items to unlock the next parts of the flow.
Complete available checks
After activities, complete the checks that are available to you. Checks are used to confirm completion of the current course steps.
Step 4
Open available checksComplete the checks shown in your course workflow.
Confirm your progressUse checks to verify you have completed the required course work.
Continue when completeOnce available checks are done, move to the final course step.
Finish the course
When lessons, activities, and checks are complete, you can finish the course. This marks the course as completed in your learning flow.
Step 5
Complete remaining itemsMake sure all available course steps are finished.
Mark the course completeFinish the course once all required parts are done.
See completion statusYour course status updates in Learn.
Track progress in Learn
Use Learn to see your course progress over time. You can check what is complete, what is in progress, and what to do next.
Step 6
View progressCheck your current status across enrolled courses.
Plan next stepsUse your progress view to decide what to work on next.
Return anytimeCome back to Learn to continue where you left off.
03 The credentialVerified work
Verified work
Every level is earned through graded work on real task types, and each one is recorded on your profile.
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 and not a qualification. It doesn’t open any work on its own.
L2 · Verified
Passed the practice review
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 tracksHover to exploreTap to explore
Crowd to specialized work
We provide specific training to help you land the career of your dreams.
/01
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 of courseworkNo prerequisitesAny language
/02
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 of courseworkWriting sampleDomain variants
/03
Multimodal annotation
Steady demand
Image, video, and audio labeling with structured schemas: bounding, segmentation, action and affordance tagging, and temporal consistency.
~16 hrs of courseworkNo prerequisitesTool-based
/04
Adversarial red-teaming
Planned
Probe models for failures, document reproducible attacks, and rate severity. This track is planned and not currently available.
PlannedNot currently available
/05
Code trajectory review
Planned
Grade agent runs, diffs, and repair traces. This track is planned and not currently available.
PlannedNot currently available
/06
Expert domain review
Selective
Medicine, law, finance, and science. Credential verification required, and market pay reflects the scarcity of qualified reviewers.
~12 hrs of courseworkLicense verifiedInvitation
05 AnnotatorsFrom our course participants
From our course participants
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 AnnotatorEarly-stage AI StartupData Gradient learnerA 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 DataAI Automation StartupData Gradient learnerData 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 AnalystAI Product CompanyData Gradient learnerThe 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 AnnotatorFrontier LabData Gradient learnerEvery 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 ContributorGlobal AI PlatformData Gradient learnerBeing 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 ReviewerAI Data ProgramsData Gradient learner
06 Questions07 entries
The things annotators ask first.
No. Training, practice, and qualification are free, and they stay free. Clients pay for courses built on their guidelines. You are not the customer, and we don't sell your data.
Data Gradient doesn't pay you. Learn does list more than 1,200 jobs, imported from the public careers pages of human data companies and marketplaces and refreshed regularly. You can learn the skills and find your next opportunity in the same place. Contracts and pay are between you and the client or vendor. We don't take a cut of your rate.
Not for most tracks. Preference ranking and multimodal annotation have no prerequisites, and SFT writing needs only a writing sample. You can start right away. Code review (planned) needs programming experience and expert domain review needs a verifiable credential, because the work genuinely requires them.
Median time to finish a first course is 11 days at a few hours a day. There's no deadline and no penalty for taking longer.
You retake it. Failing isn't recorded as a mark against you.
Yes. The credential is yours. It's portable between projects, agencies, and labs, and anyone you share it with can verify it. If you stop using Data Gradient, you keep it.
A computer with a stable connection and a modern browser. Everything runs in the browser. That includes the practice tasks. Some multimodal and audio tracks recommend headphones and a larger screen.
Free for annotators · 1,200+ jobs on Learn
Start yourfirst lesson.
Training is free, the practice is real work, and the credential is yours to keep.
