Jedidiah Oliver

Key Skills

Software

Scale AI

Appen

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Computer Code Programming

Top Label Types

Bounding Box

Classification

Object Detection

Text Generation

Diagnosis

Data Collection

Audio Recording

Transcription

Segmentation

Mapping

Prompt Response Writing SFT

Freelancer Overview

I have hands-on experience in data evaluation, content optimization, and campaign analysis through my roles as a Search Engine Evaluator and translator for leading global platforms. My background includes gathering, reviewing, and annotating data to improve search engine results and user experiences, as well as ensuring the accuracy and quality of web content for various domains, including e-commerce and education. I am skilled in data analytics, SEO strategies, and the use of digital tools for optimizing content and analyzing patterns. With strong attention to detail, a commitment to accuracy, and the ability to adapt quickly to new guidelines, I am well-prepared to contribute to data labeling and AI training data projects, especially those related to web, language, and user behavior data.

Labeling Experience

AI Image & Video Annotation Specialist – Project Aether

Scale AIImageBounding BoxClassification

Worked on a high-volume AI training data project focused on image and video annotation for machine learning model development. Responsible for accurately labeling visual content using annotation guidelines, including object identification, categorization, and frame-level/scene-level tagging where required. Maintained consistency across tasks by applying project rules carefully and reviewing edge cases before submission. Performed quality-focused annotation with attention to label precision, object boundaries, and metadata correctness.

Worked on a high-volume AI training data project focused on image and video annotation for machine learning model development. Responsible for accurately labeling visual content using annotation guidelines, including object identification, categorization, and frame-level/scene-level tagging where required. Maintained consistency across tasks by applying project rules carefully and reviewing edge cases before submission. Performed quality-focused annotation with attention to label precision, object boundaries, and metadata correctness.

2025 - 2025

AI Data Labeling & Search/Content Evaluation Specialist (TELUS Projects)

TelusComputer Code ProgrammingSegmentationClassification

Worked on data evaluation and labeling tasks for AI/search quality improvement projects, applying detailed rating and annotation guidelines to assess content relevance, usefulness, and quality. Tasks included interpreting user intent, evaluating content against defined criteria, and assigning consistent labels to support model training and system optimization. Performed structured quality checks on task outputs, maintained consistency in decision-making across similar task types, and escalated unclear or borderline cases according to project procedures. Adapted quickly to guideline revisions and project-specific requirements while maintaining accuracy and productivity. Supported the creation of high-quality training/evaluation datasets through careful annotation, evidence-based judgment, and strong adherence to policy and instructions.

Worked on data evaluation and labeling tasks for AI/search quality improvement projects, applying detailed rating and annotation guidelines to assess content relevance, usefulness, and quality. Tasks included interpreting user intent, evaluating content against defined criteria, and assigning consistent labels to support model training and system optimization. Performed structured quality checks on task outputs, maintained consistency in decision-making across similar task types, and escalated unclear or borderline cases according to project procedures. Adapted quickly to guideline revisions and project-specific requirements while maintaining accuracy and productivity. Supported the creation of high-quality training/evaluation datasets through careful annotation, evidence-based judgment, and strong adherence to policy and instructions.

2022 - 2025

Data Annotation & Content Categorization Specialist (Appen Projects)

AppenVideoText GenerationDiagnosis

Completed annotation and evaluation tasks on Appen projects to support machine learning and language model training. Work involved applying detailed project guidelines to label and categorize data accurately, including text classification, relevance assessment, and content tagging (and image/audio labeling where applicable). Reviewed task items for correctness, consistency, and compliance with annotation standards. Maintained high-quality outputs by carefully interpreting instructions, identifying edge cases, and adjusting to guideline updates during active project cycles. Ensured attention to detail across repetitive tasks while preserving speed and accuracy. Contributed to model training and dataset improvement by producing reliable labels, following escalation procedures for unclear cases, and maintaining consistency across large batches of annotation work.

Completed annotation and evaluation tasks on Appen projects to support machine learning and language model training. Work involved applying detailed project guidelines to label and categorize data accurately, including text classification, relevance assessment, and content tagging (and image/audio labeling where applicable). Reviewed task items for correctness, consistency, and compliance with annotation standards. Maintained high-quality outputs by carefully interpreting instructions, identifying edge cases, and adjusting to guideline updates during active project cycles. Ensured attention to detail across repetitive tasks while preserving speed and accuracy. Contributed to model training and dataset improvement by producing reliable labels, following escalation procedures for unclear cases, and maintaining consistency across large batches of annotation work.

2022 - 2025

Education

Work History