Freda T.

Key Skills

Software

Other

Top Subject Matter

Machine learning & NLP datasets (general AI-related data tasks)

AI model response evaluation and RLHF data (text)

NLP annotation including entity recognition and classification

Top Data Types

Text

Document

Top Task Types

RLHF

Entity (NER) Classification

Classification

Freelancer Overview

Data Analyst (AI-related data cleaning/labeling/validation work) at Upwork (Remote). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Economics, University of Florida (1985). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

AI Data Annotator at Outlier AI (Remote)

OtherTextRLHF

Completed large-scale AI labeling and evaluation tasks while following RLHF guidelines to improve AI model responses and alignment quality. Reviewed model outputs to find inconsistencies and provided structured corrections as part of dataset preparation for training pipelines. Sustained high daily throughput under strict deadlines while maintaining strong accuracy performance. • Completed 1,500+ AI labeling and evaluation tasks • Applied RLHF guidelines for response quality and alignment • Maintained 40–60 tasks daily under tight deadlines • Identified inconsistencies in model outputs and produced corrections

2023 - Present

Data Analyst - Upwork

TextClassificationRLHF

You performed data analysis and delivered AI-related consulting projects to clients remotely. You handled data cleaning, labeling, validation, transformation, and structured reporting to support analytics and machine learning workflows. You maintained high client satisfaction while managing multiple concurrent engagements with changing requirements. • Completed 300+ data analysis and AI-related projects including data cleaning and structured reporting • Analyzed large datasets to identify inconsistencies, trends, and data quality issues • Performed data transformation, preprocessing, and formatting for AI and business applications • Managed multiple client projects simultaneously while meeting strict deadlines

2020 - Present

Data Analyst (AI-related data cleaning/labeling/validation work) at Upwork (Remote)

OtherText

Served as a remote Data Analyst delivering AI-related project work focused on data cleaning, validation, and structured reporting for machine-learning workflows. Performed analysis to detect inconsistencies and data quality issues, and applied preprocessing and formatting to support downstream AI and business applications. Maintained high client satisfaction through consistent completion and quality outcomes across multiple concurrent tasks. • Completed 300+ AI-related projects including cleaning, labeling, and validation • Analyzed large datasets for trends, inconsistencies, and quality defects • Performed data transformation and preprocessing for AI pipelines • Managed multiple client deadlines while improving dataset accuracy

2020 - Present

AI Data Labeling Specialist at Innodata Inc. (Remote)

OtherTextEntity (NER) Classification

Worked as an AI data labeling specialist annotating NLP-focused datasets across entity recognition, classification, and related labeling projects. Applied complex enterprise annotation guidelines and performed validation and consistency checks to reduce labeling errors. Achieved strong QA accuracy across multiple quality review cycles and improved workflow efficiency through optimized processes. • Annotated 2,000+ NLP/entity recognition/classification datasets • Achieved 95–99% QA accuracy across review cycles • Followed complex guideline-driven annotation for enterprise datasets • Conducted validation and consistency checks to minimize errors

2021 - 2023

Data Annotation Assistant (Independent Contractor, Remote)

OtherTextClassification

Supported early-stage machine learning training preparation by processing structured and unstructured datasets and performing manual labeling operations. Conducted tagging and categorization of data entries while ensuring consistency of annotation standards across multiple datasets. Helped prepare dataset materials for downstream AI training activities under an independent contractor engagement. • Processed 500+ structured and unstructured datasets • Performed manual labeling, tagging, and categorization • Ensured consistent annotation standards across datasets • Supported early-stage AI model training preparation

2019 - 2019

Education

Work History