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A stack of papers on the desk. You already know how you want them marked. The bottleneck is the volume.
Here is how to grade papers with AI on the stack you already have: upload your test and answer key, photograph the papers, get marks against your rubric, then hand back a PDF or email with feedback you control. Photo the stack once. Get rubric-true marks back. Put your attention on teaching, and on releasing feedback you still own.
Teachers grading papers with AI this way still confirm the roster, review the lot, and choose what feedback goes out. While marking runs, you can do other work. When it finishes, patterns across the set are easier to see because the volume work is already done. That means less burnout on the stack and more attention for each student.
You do not need to rebuild the paper in a new platform. Bring what you already use.
Upload the test and your answer key. Graider pulls the questions and the answer bank automatically, so you are not retyping the whole paper by hand.
Keep your standards here. Marks will come from this key and rubric. Grade against your own rubric.
Shoot the pile with your camera, or pull photos from your library. Graider matches pages to students on your roster. You confirm once, then it grades the lot.
Tips that keep the match clean:
This is the unlock most teachers feel first.
After photos and roster matching are confirmed, Graider grades the lot against your key and rubric. That is the mechanical stretch you can parallelize: plan your next lesson, answer a parent email, make coffee. Oversight stays with you. You already confirmed the match. You will still review and choose what feedback goes out.
You keep the pen. You still decide the standards. You just stop working as a human scanner.
When the stack is marked, review what you need to. Answers Graider is unsure about carry a Low confidence badge, so you know where to look first. Toggle feedback on or off before you release. Share a marked PDF, or email results with each student's address already filled in.
Nothing reaches students until you say so.
When marking drains all your energy, pattern-finding is the first thing to go. You finish exhausted. You remember a few rough papers. The class-level story is fuzzy.
Marking against your own rubric with Graider changes that. Wrong units on Q3 show up across the set. A blank section shows up as a class-wide pattern. You can see where the class is stuck while you still have energy left to reteach.
In honest terms: the pile gets marked on your standards, so you see patterns across the marked work. You still know your students. This frees attention for the teaching only you can do.
You spend your attention more efficiently per student: targeted check-ins, a quick reteach, feedback that actually lands.
Grading burnout usually comes from the same stack, again and again, leaving no spare capacity for the work that only a teacher can do.
Graider's job is narrow on purpose: get the papers marked and back using the key you trust. It shrinks the volume work so more of your energy can go to teaching. It does not claim to cure burnout. Same idea in our post on grading burnout.
Your key. Their papers. Marked on your standards. More of you for the parts of teaching that do not fit in a scan.
Flow: upload test and key, then photo papers, then confirm matching, then grade, then hand back.
Upload the test and answer key, photograph the papers, and confirm the roster match. Graider then grades the lot against your rubric. You still review and toggle feedback before anything goes out.
Yes, after you confirm the photos and roster match. That window is for parallelizing the mechanical marking. You still come back to review and control what feedback is released.
No. Marks and feedback come from the answer key and rubric you provide. You keep the standards. Graider moves the stack.
Yes. Photograph the pile or use your photo library. Confirm the roster match, then grade the lot.
Marked PDF, or email with addresses filled in. Toggle feedback on or off before you release. Nothing goes out until you release it.
Student papers and account data aren't used to train models or for advertising.
It helps by shrinking the part of grading that is pure volume: scanning, matching, applying the same key again and again. You get the papers marked and keep attention for reteaching and the students who need you most. Teacher judgment stays yours. It does not claim to fix burnout on its own.
Photograph the stack once. Get marks against your rubric. Parallelize the mechanical marking, then review and release feedback you still own. Use the attention you get back to see where students are struggling and spend it where teaching actually happens.
Ready to clear the pile? Start at graider.org.
Related: What is Graider?, AI grading against your own rubric, Grading burnout, and Graider vs Gradescope