diff --git a/libs/labelbox/src/labelbox/data/annotation_types/types.py b/libs/labelbox/src/labelbox/data/annotation_types/types.py
index 9bb86a4b9..adcadf306 100644
--- a/libs/labelbox/src/labelbox/data/annotation_types/types.py
+++ b/libs/labelbox/src/labelbox/data/annotation_types/types.py
@@ -5,7 +5,8 @@
 from packaging import version
 import numpy as np
 
-from pydantic import StringConstraints, Field
+from pydantic import StringConstraints, Field, ConfigDict
+from pydantic_core import core_schema
 
 DType = TypeVar("DType")
 DShape = TypeVar("DShape")
@@ -13,11 +14,13 @@
 
 class _TypedArray(np.ndarray, Generic[DType, DShape]):
     @classmethod
-    def __get_validators__(cls):
-        yield cls.validate
+    def __get_pydantic_core_schema__(
+        cls, _source_type: type, _model: type
+    ) -> core_schema.CoreSchema:
+        return core_schema.no_info_plain_validator_function(cls.validate)
 
     @classmethod
-    def validate(cls, val, field: Field):
+    def validate(cls, val):
         if not isinstance(val, np.ndarray):
             raise TypeError(f"Expected numpy array. Found {type(val)}")
         return val
diff --git a/libs/labelbox/src/labelbox/schema/data_row_metadata.py b/libs/labelbox/src/labelbox/schema/data_row_metadata.py
index d6c50b975..4f11170fd 100644
--- a/libs/labelbox/src/labelbox/schema/data_row_metadata.py
+++ b/libs/labelbox/src/labelbox/schema/data_row_metadata.py
@@ -27,6 +27,7 @@
     conlist,
     ConfigDict,
     model_serializer,
+    BeforeValidator,
 )
 
 from labelbox.schema.ontology import SchemaId
@@ -36,6 +37,12 @@
     format_iso_from_string,
 )
 
+Name = Annotated[
+    str,
+    BeforeValidator(lambda x: str.strip(str(x))),
+    Field(min_length=1, max_length=100),
+]
+
 
 class DataRowMetadataKind(Enum):
     number = "CustomMetadataNumber"
@@ -49,7 +56,7 @@ class DataRowMetadataKind(Enum):
 # Metadata schema
 class DataRowMetadataSchema(BaseModel):
     uid: SchemaId
-    name: str = Field(strip_whitespace=True, min_length=1, max_length=100)
+    name: Name
     reserved: bool
     kind: DataRowMetadataKind
     options: Optional[List["DataRowMetadataSchema"]] = None
diff --git a/libs/labelbox/src/labelbox/schema/labeling_service_dashboard.py b/libs/labelbox/src/labelbox/schema/labeling_service_dashboard.py
index e2c6fa26b..2f91af7af 100644
--- a/libs/labelbox/src/labelbox/schema/labeling_service_dashboard.py
+++ b/libs/labelbox/src/labelbox/schema/labeling_service_dashboard.py
@@ -3,7 +3,7 @@
 from typing import Any, Dict, List, Optional, Union
 
 from lbox.exceptions import ResourceNotFoundError
-from pydantic import BaseModel, Field, model_validator
+from pydantic import BaseModel, Field, model_validator, model_serializer
 
 from labelbox.pagination import PaginatedCollection
 from labelbox.schema.labeling_service_status import LabelingServiceStatus
@@ -50,7 +50,7 @@ class LabelingServiceDashboard(_CamelCaseMixin):
     Represent labeling service data for a project
 
     NOTE on tasks vs data rows. A task is a unit of work that is assigned to a user. A data row is a unit of data that needs to be labeled.
-        In the current implementation a task reprsents a single data row. However tasks only exists when a labeler start labeling a data row.
+        In the current implementation a task represents a single data row. However tasks only exists when a labeler start labeling a data row.
         So if a data row is not labeled, it will not have a task associated with it. Therefore the number of tasks can be less than the number of data rows.
 
     Attributes:
@@ -221,8 +221,9 @@ def convert_boost_data(cls, data):
 
         return data
 
-    def dict(self, *args, **kwargs):
-        row = super().dict(*args, **kwargs)
+    @model_serializer()
+    def ser_model(self):
+        row = self
         row.pop("client")
         row["service_type"] = self.service_type
         return row
diff --git a/libs/labelbox/src/labelbox/schema/search_filters.py b/libs/labelbox/src/labelbox/schema/search_filters.py
index 13b158678..e61e29ad8 100644
--- a/libs/labelbox/src/labelbox/schema/search_filters.py
+++ b/libs/labelbox/src/labelbox/schema/search_filters.py
@@ -5,7 +5,7 @@
 
 from typing_extensions import Annotated
 
-from pydantic import BaseModel, Field, field_validator
+from pydantic import BaseModel, Field, field_validator, ConfigDict
 from labelbox.schema.labeling_service_status import LabelingServiceStatus
 from labelbox.utils import format_iso_datetime
 
@@ -15,8 +15,7 @@ class BaseSearchFilter(BaseModel):
     Shared code for all search filters
     """
 
-    class Config:
-        use_enum_values = True
+    model_config = ConfigDict(use_enum_values=True)
 
 
 class OperationTypeEnum(Enum):
diff --git a/libs/labelbox/tests/integration/test_data_rows.py b/libs/labelbox/tests/integration/test_data_rows.py
index 78a1efb3a..7d777a28a 100644
--- a/libs/labelbox/tests/integration/test_data_rows.py
+++ b/libs/labelbox/tests/integration/test_data_rows.py
@@ -1,7 +1,7 @@
 import json
 import os
 import uuid
-from datetime import datetime
+from datetime import datetime, timezone
 from tempfile import NamedTemporaryFile
 from unittest.mock import patch
 
@@ -95,7 +95,7 @@ def tile_content():
 
 def make_metadata_fields():
     msg = "A message"
-    time = datetime.utcnow()
+    time = datetime.now(timezone.utc)
 
     fields = [
         DataRowMetadataField(schema_id=SPLIT_SCHEMA_ID, value=TEST_SPLIT_ID),
@@ -107,7 +107,7 @@ def make_metadata_fields():
 
 def make_metadata_fields_dict():
     msg = "A message"
-    time = datetime.utcnow()
+    time = datetime.now(timezone.utc)
 
     fields = [
         {"schema_id": SPLIT_SCHEMA_ID, "value": TEST_SPLIT_ID},