diff --git a/src/implementation.jl b/src/implementation.jl
index 2e6ad5cb..d9e3791d 100644
--- a/src/implementation.jl
+++ b/src/implementation.jl
@@ -105,11 +105,11 @@ end
 # DynamicScheduler: ChunkSplitters.Chunk
 function _tmapreduce(f,
         op,
-        Arrs::Tuple{ChunkSplitters.Chunk{T}}, # we don't support multiple chunks for now
+        Arrs::Union{Tuple{ChunkSplitters.Chunk{T}}, Tuple{ChunkSplitters.Enumerate{T}}},
         ::Type{OutputType},
         scheduler::DynamicScheduler,
         mapreduce_kwargs)::OutputType where {OutputType, T}
-    (; nchunks, split, threadpool) = scheduler
+    (; threadpool) = scheduler
     chunking_enabled(scheduler) && auto_disable_chunking_warning()
     tasks = map(only(Arrs)) do idcs
         @spawn threadpool promise_task_local(f)(idcs)
diff --git a/test/runtests.jl b/test/runtests.jl
index ee28d761..e6384043 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -83,6 +83,15 @@ end;
             @test isnothing(tforeach(x -> sin.(x), chnks; scheduler))
         end
     end
+
+    # enumerate(chunks)
+    data = 1:100
+    @test tmapreduce(+, enumerate(chunks(data; n=5)); chunking=false) do (i, idcs)
+        [i, sum(@view(data[idcs]))]
+    end == [sum(1:5), sum(data)]
+    @test tmapreduce(+, enumerate(chunks(data; size=5)); chunking=false) do (i, idcs)
+        [i, sum(@view(data[idcs]))]
+    end == [sum(1:20), sum(data)]
 end;
 
 @testset "macro API" begin
@@ -246,6 +255,18 @@ end;
         @set reducer = +
         C.x
     end) == 10 * var
+
+    # enumerate(chunks)
+    data = collect(1:100)
+    @test @tasks(for (i, idcs) in enumerate(chunks(data; n=5))
+        @set reducer = +
+        @set chunking = false
+        [i, sum(@view(data[idcs]))]
+    end) == [sum(1:5), sum(data)]
+    @test @tasks(for (i, idcs) in enumerate(chunks(data; size=5))
+        @set reducer = +
+        [i, sum(@view(data[idcs]))]
+    end) == [sum(1:20), sum(data)]
 end;
 
 @testset "WithTaskLocals" begin