diff --git a/API/api_worker.py b/API/api_worker.py
index 5dbf4d40..48281f27 100644
--- a/API/api_worker.py
+++ b/API/api_worker.py
@@ -19,7 +19,12 @@
 from src.config import USE_S3_TO_UPLOAD as use_s3_to_upload
 from src.config import logger as logging
 from src.query_builder.builder import format_file_name_str
-from src.validation.models import DatasetConfig, RawDataOutputType
+from src.validation.models import (
+    DatasetConfig,
+    DynamicCategoriesModel,
+    RawDataCurrentParams,
+    RawDataOutputType,
+)
 
 celery = Celery("Raw Data API")
 celery.conf.broker_url = celery_broker_uri
@@ -32,6 +37,7 @@
 
 @celery.task(bind=True, name="process_raw_data")
 def process_raw_data(self, params):
+    params = RawDataCurrentParams(**params)
     try:
         start_time = dt.now()
         bind_zip = params.bind_zip if ALLOW_BIND_ZIP_FILTER else True
@@ -188,6 +194,7 @@ def process_raw_data(self, params):
 
 @celery.task(bind=True, name="process_hdx_request")
 def process_hdx_request(self, params):
+    params = DynamicCategoriesModel(**params)
     if not params.dataset:
         params.dataset = DatasetConfig()
     hdx_object = HDX(params)
diff --git a/API/hdx.py b/API/hdx.py
index 1421fe6a..f358fa00 100644
--- a/API/hdx.py
+++ b/API/hdx.py
@@ -394,6 +394,6 @@ async def process_hdx_requests(
     """
     queue_name = "raw_special"
     task = process_hdx_request.apply_async(
-        args=(params,), queue=queue_name, track_started=True
+        args=(params.model_dump(),), queue=queue_name, track_started=True
     )
     return JSONResponse({"task_id": task.id, "track_link": f"/tasks/status/{task.id}/"})
diff --git a/API/raw_data.py b/API/raw_data.py
index b9f010e0..d22cf456 100644
--- a/API/raw_data.py
+++ b/API/raw_data.py
@@ -446,7 +446,7 @@ def get_osm_current_snapshot_as_file(
     # queue_name = "raw_special" if not params.uuid else "raw_default"
     queue_name = "raw_default"  # Everything directs to default now
     task = process_raw_data.apply_async(
-        args=(params,), queue=queue_name, track_started=True
+        args=(params.model_dump(),), queue=queue_name, track_started=True
     )
     return JSONResponse({"task_id": task.id, "track_link": f"/tasks/status/{task.id}/"})