Kenneth Carman

Key Skills

Software

Appen

CloudFactory

Top Subject Matter

No subject matter listed

Top Data Types

Text

3D Sensor

Top Label Types

Classification

Question Answering

Text Generation

Emotion Recognition

Translation Localization

Freelancer Overview

I have over ten years of experience supporting AI and machine learning systems through high-quality data labeling and training data evaluation. My work has focused primarily on text-based annotation, including intent classification, sentiment analysis, content moderation, safety evaluation, and bias and fairness labeling. I have contributed to large-scale NLP and conversational AI projects, consistently applying detailed annotation guidelines, maintaining strong accuracy, and helping improve dataset quality through quality assurance reviews and feedback loops. I am comfortable working with high-volume tasks as well as sensitive or policy-regulated content. What sets me apart is my combination of technical understanding and human judgment. With advanced academic training in computer science and artificial intelligence, I understand how labeled data impacts model behavior, performance, and risk. I bring strong attention to detail, consistency across long labeling runs, and the ability to identify edge cases or ambiguous examples that others may miss. I also have experience working remotely on contract and freelance platforms, collaborating across distributed teams, and delivering clean, reliable datasets on schedule.

Labeling Experience

Freelance Data Annotation Contractor

AppenTextClassification

This role involved providing data labeling services on a contract basis for a variety of AI-focused clients. The work encompassed annotation of conversational data, prompts, user responses, and other text content using client-specific instructions. Emphasis was placed on sentiment analysis, topic classification, and content moderation according to project guidelines. • Delivered clean datasets adhering to tight deadlines. • Consistently achieved high client satisfaction through reliability and attention to detail. • Adapted to various annotation schemas and rapidly changing project requirements. • Conducted quality assurance and documentation for finalized annotations.

This role involved providing data labeling services on a contract basis for a variety of AI-focused clients. The work encompassed annotation of conversational data, prompts, user responses, and other text content using client-specific instructions. Emphasis was placed on sentiment analysis, topic classification, and content moderation according to project guidelines. • Delivered clean datasets adhering to tight deadlines. • Consistently achieved high client satisfaction through reliability and attention to detail. • Adapted to various annotation schemas and rapidly changing project requirements. • Conducted quality assurance and documentation for finalized annotations.

2015

Senior Data Labeling and Evaluation Specialist

Cloudfactory3D SensorClassificationQuestion Answering

In this capacity, support was provided for AI model training by labeling and reviewing substantial volumes of text-based data. Responsibilities included content classification related to intent, tone, safety risk, and compliance with annotation guidelines. Quality assurance and escalation of guideline ambiguities contributed to continuous dataset improvement. • Maintained high accuracy rates under strict productivity targets. • Performed quality checks for labeling consistency across datasets. • Communicated ambiguous cases and guideline issues to project leads. • Enhanced dataset quality for iterative model training.

In this capacity, support was provided for AI model training by labeling and reviewing substantial volumes of text-based data. Responsibilities included content classification related to intent, tone, safety risk, and compliance with annotation guidelines. Quality assurance and escalation of guideline ambiguities contributed to continuous dataset improvement. • Maintained high accuracy rates under strict productivity targets. • Performed quality checks for labeling consistency across datasets. • Communicated ambiguous cases and guideline issues to project leads. • Enhanced dataset quality for iterative model training.

2009

AI Data Annotator (Contract)

AppenTextClassification

Served as a contract data annotator for large-scale AI training projects with a focus on natural language processing systems. Labeled text data targets such as intent, toxicity, bias, and relevance using specialized annotation instructions. Regular calibration and feedback cycles ensured accuracy and inter-annotator agreement. • Labeled diverse text data categories for NLP model training. • Followed strict quality benchmarks and annotation procedures. • Participated in structured calibration tasks and evaluation loops. • Delivered consistently high accuracy and throughputs as required by stakeholders.

Served as a contract data annotator for large-scale AI training projects with a focus on natural language processing systems. Labeled text data targets such as intent, toxicity, bias, and relevance using specialized annotation instructions. Regular calibration and feedback cycles ensured accuracy and inter-annotator agreement. • Labeled diverse text data categories for NLP model training. • Followed strict quality benchmarks and annotation procedures. • Participated in structured calibration tasks and evaluation loops. • Delivered consistently high accuracy and throughputs as required by stakeholders.

2018 - 2022

Education

Work History