Tara T.

Key Skills

Software

Other

Mercor

Appen

HiveMind

Labelbox

Label Studio

Lionbridge

OneForma

Telus

Top Subject Matter

French language localization and AI training dataset quality control

Large language model (LLM) training data creation

Reliability

Top Data Types

Text

Image

Document

Top Task Types

Prompt + Response Writing (SFT)

Bounding Box

Fine-tuning

RLHF

Evaluation/Rating

Segmentation

Entity (NER) Classification

Object Detection

Text Summarization

Text Generation

Transcription

Question Answering

Data Collection

Function Calling

Freelancer Overview

WELOCALIZE-FRENCH LANGUAGE QC EXPERT (Contractor). Brings 18+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Mercor. Education includes Red Seal Millwright, BCIT (2020) and Bachelor of Arts, University of Alberta (2007). AI-training focus includes data types such as Text and labeling workflows including Translation, Localization, and Prompt + Response Writing (SFT).

Labeling Experience

Crowdgen (contractor)

ImageEvaluation/Rating

Evaluate search results. Moonlight project with sprints.

2026 - Present

WELOCALIZE-FRENCH LANGUAGE QC EXPERT (Contractor)

OtherText

Served as a French language QC expert reviewing trainer-submitted tasks for quality and rework. Contributed to reliable training datasets by ensuring high accuracy and throughput in large-scale annotation workflows. Performed evaluation and rating of language tasks prior to client submission. • Reviewed submitted tasks and returned constructive feedback • Flagged items requiring rework to meet quality standards • Ensured timely delivery of high-quality annotation outputs • Supported French-language AI model fine-tuning dataset reliability

2026 - Present

MERCOR-VARIOUS PROJECTS (Contractor)

MercorTextPrompt + Response Writing (SFT)

Developed training data for large language models by formulating prompts and golden responses. Maintained high accuracy and throughput in large-scale annotation workflows to produce reliable fine-tuning data. Ensured consistency and quality of the prompt-response pairs used for AI model training. • Wrote prompts and corresponding golden responses • Produced large-scale annotation outputs for LLM fine-tuning • Monitored accuracy and throughput during dataset creation • Delivered reliable training data aligned with project goals

2025 - 2026

Telus International AI (Contractor)

TextEvaluation/Rating

Annotate various tasks including landing page evaluations, response comparisons, search result comparisons and evaluations. Audio quality comparisons.

2023 - 2025

Education

Work History