Chris Martens

Key Skills

Software

Appen

CrowdSource

LabelImg

Mercor

Label Studio

Remotasks

Surge AI

OneForma

HiveMind

CloudFactory

Top Subject Matter

AI Response Evaluation

AI Data Evaluation & Annotation

Data Extraction & Validation

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Classification

Object Detection

Polygon

Segmentation

Text Summarization

Evaluation/Rating

Text Generation

Computer Programming/Coding

Prompt + Response Writing (SFT)

Transcription

Red Teaming

Fine-tuning

Entity (NER) Classification

Freelancer Overview

AI Training & Evaluation Contributor with hands-on experience in AI response evaluation, data validation, and annotation across text and structured datasets. Worked on platforms including Handshake AI and Remotasks, focusing on improving output accuracy, consistency, and data quality. Experience includes reviewing AI-generated responses, validating extracted data against structured schemas, and applying annotation guidelines to identify errors, edge cases, and inconsistencies. Strong background in data processing, automation, and workflow optimization using Python.

Labeling Experience

Text and Image Annotation for E-commerce AI

MercorTextBounding BoxEntity Ner Classification

Labeled product images and descriptions for e-commerce AI models, including bounding boxes for product identification and entity tagging for product attributes in text. Ensured data consistency and accuracy to improve AI-driven search and recommendation systems. Adapted quickly to evolving labeling guidelines and quality standards in a dynamic environment.

Labeled product images and descriptions for e-commerce AI models, including bounding boxes for product identification and entity tagging for product attributes in text. Ensured data consistency and accuracy to improve AI-driven search and recommendation systems. Adapted quickly to evolving labeling guidelines and quality standards in a dynamic environment.

2024 - 2025

AI Response Evaluation & Data Validation

TextClassification

Evaluated AI-generated responses for accuracy, consistency, and completeness across text-based datasets. Applied structured evaluation criteria to assess output quality and alignment with task requirements. Reviewed extracted and generated data against expected formats and schemas to identify errors, inconsistencies, and edge cases. Provided detailed feedback to improve model performance and data reliability. Maintained consistency with annotation guidelines and contributed to overall data quality assurance processes within AI training workflows.

Evaluated AI-generated responses for accuracy, consistency, and completeness across text-based datasets. Applied structured evaluation criteria to assess output quality and alignment with task requirements. Reviewed extracted and generated data against expected formats and schemas to identify errors, inconsistencies, and edge cases. Provided detailed feedback to improve model performance and data reliability. Maintained consistency with annotation guidelines and contributed to overall data quality assurance processes within AI training workflows.

2025 - 2026

Audio Data Labeling & Speech Recording for AI Training

AudioTranscription

Recorded high-quality speech samples based on structured scripts for AI training datasets. Followed detailed guidelines for pronunciation, tone, pacing, and clarity to ensure consistency across recordings. Maintained a controlled recording environment to minimize background noise and audio artifacts. Performed basic audio quality checks including volume levels, clipping, and clarity before submission. Adapted delivery style based on different scenarios such as conversational, formal, and expressive speech. Ensured all recordings met project standards for accuracy and usability in training speech recognition and voice models.

Recorded high-quality speech samples based on structured scripts for AI training datasets. Followed detailed guidelines for pronunciation, tone, pacing, and clarity to ensure consistency across recordings. Maintained a controlled recording environment to minimize background noise and audio artifacts. Performed basic audio quality checks including volume levels, clipping, and clarity before submission. Adapted delivery style based on different scenarios such as conversational, formal, and expressive speech. Ensured all recordings met project standards for accuracy and usability in training speech recognition and voice models.

2025 - 2026

Autonomous Vehicle Image Annotation

Scale AIImageBounding BoxPolygon

Annotated large volumes of street-level images for object detection and segmentation, including vehicles, pedestrians, traffic signs, and road infrastructure. Maintained strict adherence to quality guidelines to ensure accurate and consistent labeling critical for autonomous driving AI model training. Collaborated with a remote team to meet project deadlines and quality benchmarks.

Annotated large volumes of street-level images for object detection and segmentation, including vehicles, pedestrians, traffic signs, and road infrastructure. Maintained strict adherence to quality guidelines to ensure accurate and consistent labeling critical for autonomous driving AI model training. Collaborated with a remote team to meet project deadlines and quality benchmarks.

2021 - 2024

Education

Work History