Elijah O.

Key Skills

Software

Appen

Don't disclose

Top Subject Matter

AI translation quality evaluation and localization annotation

English translation quality review and AI-assisted translation evaluation

AI translation annotation validation and quality rating

Top Data Types

Text

Top Task Types

Question Answering

Text Generation

Text Summarization

Object Detection

Transcription

Evaluation/Rating

Freelancer Overview

AI Data Annotation Specialist (Appen) - Remote/UK-based translation review and quality labeling. Core strengths include Appen and Don't disclose. Education includes N/A, University of Westminster and N/A, University of Manchester. AI-training focus includes data types such as Text and labeling workflows including Translation and Localization.

Labeling Experience

AI Translation Annotation Reviewer (DataForce by TransPerfect) - Remote/UK-based translation QA labeling

Don't discloseText

Supported AI data projects focused on linguistic review, translation assessment, and content validation. Reviewed translated segments to detect unsupported additions, incorrect brand references, and meaning changes. Applied project-specific rating instructions accurately and produced concise reviewer comments to improve dataset reliability. • Detected unsupported additions and meaning changes in translated segments • Checked brand references for correctness and alignment to source • Followed annotation-only vs. correction-required instructions • Wrote concise English comments explaining quality decisions

Present

Translation Quality Reviewer (RWS Group) - Remote/UK-based linguistic review and rating

Don't discloseText

Reviewed translated content for accuracy, fluency, consistency, terminology, and preservation of original meaning. Checked AI-assisted translation outputs for hallucinations, wording errors, brand-name problems, and localization mismatches. Followed client-specific translation quality standards and applied rating categories consistently while supporting multilingual review tasks. • Evaluated AI-assisted translations for hallucinations and wording errors • Verified brand-name issues and localization alignment • Applied rating categories according to client quality standards • Maintained communication and delivered tasks within deadlines

Present

AI Data Annotation Specialist (Appen) - Remote/UK-based translation review and quality labeling

AppenText

Reviewed AI-generated translation segments against detailed annotation guidelines and structured rating criteria to support dataset quality. Identified issues such as hallucinated content, unsupported additions, mistranslated phrases, meaning shifts, and linguistic inconsistencies during evaluation. Determined whether translations preserved, altered, or distorted original brand identity while applying consistent labels across multiple segments. • Evaluated hallucinations and meaning distortions in translated datasets • Assessed brand-name handling and identity preservation • Applied labels consistently across segments with guideline-level attention • Wrote clear English annotation comments when required by project rules

Present

Education

Work History