diff --git a/reasoning_gym/algorithmic/__init__.py b/reasoning_gym/algorithmic/__init__.py
index 3ebebe6e..c16dc6e5 100644
--- a/reasoning_gym/algorithmic/__init__.py
+++ b/reasoning_gym/algorithmic/__init__.py
@@ -35,7 +35,7 @@ from .ransom_note import RansomNoteConfig, RansomNoteCurriculum, RansomNoteDatas
 from .rotate_matrix import RotateMatrixConfig, RotateMatrixCurriculum, RotateMatrixDataset
 from .rotten_oranges import RottenOrangesConfig, RottenOrangesCurriculum, RottenOrangesDataset
 from .sentence_reordering import SentenceReorderingConfig, SentenceReorderingCurriculum, SentenceReorderingDataset
-from .spell_backward import SpellBackwardConfig, SpellBackwardDataset
+from .spell_backward import SpellBackwardConfig, SpellBackwardCurriculum, SpellBackwardDataset
 from .spiral_matrix import SpiralMatrixConfig, SpiralMatrixCurriculum, SpiralMatrixDataset
 from .string_insertion import StringInsertionConfig, StringInsertionCurriculum, StringInsertionDataset
 from .string_manipulation import StringManipulationConfig, StringManipulationDataset
@@ -52,6 +52,7 @@ from .word_sorting import TextTransformation, WordSortingConfig, WordSortingCurr
 __all__ = [
     "SpellBackwardConfig",
     "SpellBackwardDataset",
+    "SpellBackwardCurriculum",
     "BaseConversionConfig",
     "BaseConversionDataset",
     "BaseConversionCurriculum",
diff --git a/reasoning_gym/algorithmic/spell_backward.py b/reasoning_gym/algorithmic/spell_backward.py
index bf33441b..c2e9d767 100644
--- a/reasoning_gym/algorithmic/spell_backward.py
+++ b/reasoning_gym/algorithmic/spell_backward.py
@@ -5,6 +5,7 @@ from dataclasses import dataclass
 from random import Random
 from typing import Any, Optional
 
+from ..coaching import AttributeType, BaseCurriculum, RangeAttributeDefinition
 from ..data import read_data_file
 from ..factory import ProceduralDataset, register_dataset
 
@@ -14,12 +15,14 @@ class SpellBackwardConfig:
     """Configuration for spelling words backward task generation"""
 
     min_word_len: int = 3  # Minimum word length
+    max_word_len: int = 20  # Maximum word length
     seed: Optional[int] = None
     size: int = 500  # Virtual dataset size
 
     def validate(self) -> None:
         """Validate configuration parameters"""
         assert self.min_word_len > 0, "min_word_len must be positive"
+        assert self.max_word_len >= self.min_word_len, "max_word_len must be >= min_word_len"
 
 
 class SpellBackwardDataset(ProceduralDataset):
@@ -32,7 +35,9 @@ class SpellBackwardDataset(ProceduralDataset):
         text = read_data_file("in_the_year_2889.txt")
         # Extract words and clean them to contain only alphanumeric characters
         self.words = [
-            word for word in re.findall(r"\b\w+\b", text) if word.isalnum() and len(word) >= config.min_word_len
+            word
+            for word in re.findall(r"\b\w+\b", text)
+            if word.isalnum() and config.min_word_len <= len(word) <= config.max_word_len
         ]
 
     def __getitem__(self, idx: int) -> dict:
@@ -46,7 +51,11 @@ class SpellBackwardDataset(ProceduralDataset):
         return {
             "question": f"Spell this word backward (example: sun -> nus): {word}",
             "answer": answer,
-            "metadata": {"word": word, "word_len": len(word)},
+            "metadata": {
+                "word": word,
+                "word_len": len(word),
+                "difficulty": {"word_len": (self.config.min_word_len, self.config.max_word_len)},
+            },
         }
 
     def score_answer(self, answer: Optional[str], entry: dict[str, Any]) -> float:
@@ -63,4 +72,23 @@ class SpellBackwardDataset(ProceduralDataset):
         return reward
 
 
-register_dataset("spell_backward", SpellBackwardDataset, SpellBackwardConfig)
+class SpellBackwardCurriculum(BaseCurriculum):
+    def __init__(self):
+        super().__init__(SpellBackwardCurriculum.__name__, SpellBackwardConfig)
+
+        # Define attributes
+        self._define_attributes(
+            RangeAttributeDefinition(
+                name="word_len",
+                levels=[5, 10, 20, 30],
+                default_level=1,
+                description="Word length",
+                attr_type=AttributeType.APPEND,
+                min_value=3,
+                lower_field_name="min_word_len",
+                upper_field_name="max_word_len",
+            ),
+        )
+
+
+register_dataset("spell_backward", SpellBackwardDataset, SpellBackwardConfig, SpellBackwardCurriculum)
diff --git a/tests/test_spell_backward.py b/tests/test_spell_backward.py
index 2db86c62..64d091a7 100644
--- a/tests/test_spell_backward.py
+++ b/tests/test_spell_backward.py
@@ -2,7 +2,7 @@
 
 import pytest
 
-from reasoning_gym.algorithmic.spell_backward import SpellBackwardConfig, SpellBackwardDataset
+from reasoning_gym.algorithmic.spell_backward import SpellBackwardConfig, SpellBackwardCurriculum, SpellBackwardDataset
 
 
 def test_spell_backward_config_validation():
@@ -11,6 +11,10 @@ def test_spell_backward_config_validation():
         config = SpellBackwardConfig(min_word_len=0)
         config.validate()
 
+    with pytest.raises(AssertionError):
+        config = SpellBackwardConfig(min_word_len=4, max_word_len=3)
+        config.validate()
+
 
 def test_spell_backward_dataset_deterministic():
     """Test that dataset generates same items with same seed"""
@@ -57,3 +61,24 @@ def test_spell_backward_dataset_iteration():
 
     # Test multiple iterations yield same items
     assert items == list(dataset)
+
+
+def test_spell_backward_curriculum():
+    curriculum = SpellBackwardCurriculum()
+
+    base_value = {"size": 150, "seed": 1}
+
+    base_cfg: SpellBackwardConfig = curriculum.generate_configuration(base_value)
+    assert base_cfg.seed == 1
+    assert base_cfg.size == 150
+    assert base_cfg.min_word_len == 5 and base_cfg.max_word_len == 10
+
+    # test incrementing attribute levels
+    curriculum.increment_attr_level("word_len")
+    increased_cfg = curriculum.generate_configuration(base_value)
+    assert increased_cfg.min_word_len == 5 and increased_cfg.max_word_len == 20
+
+    # test decrementing attribute levels
+    curriculum.decrement_attr_level("word_len")
+    partially_decreased_cfg = curriculum.generate_configuration(base_value)
+    assert partially_decreased_cfg.min_word_len == 5 and partially_decreased_cfg.max_word_len == 10