Abdirahman Mohamed

Key Skills

Software

No software listed

Top Subject Matter

Healthcare

Business

Legal

Top Data Types

Text

Audio

Document

Top Task Types

Classification

Segmentation

Entity Ner Classification

Object Detection

Question Answering

Text Generation

Text Summarization

RLHF

Fine Tuning

Transcription

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

Language Quality Reviewer (LQR) – Data Annotation & Evaluation. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Lionbridge, Appen, and Internal. Education includes Bachelor of Business Administration, University of Hargeisa. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Language Quality Reviewer (LQR) – Data Annotation & Evaluation

LionbridgeText

Annotated and evaluated large-scale Somali language datasets for machine learning model training and benchmarking. Performed prompt-response evaluation and ranking tasks to improve natural language model performance and safety. Conducted linguistic error analysis, reporting findings to global L10N teams for continued model optimization. • Performed ongoing evaluation of content from major tech clients, including Meta/Facebook. • Applied complex linguistic guidelines to diverse data samples. • Focused on accuracy, consistency, and proper contextualization for low-resource language settings. • Detected and reported linguistic, dialect, and formatting inconsistencies.

Annotated and evaluated large-scale Somali language datasets for machine learning model training and benchmarking. Performed prompt-response evaluation and ranking tasks to improve natural language model performance and safety. Conducted linguistic error analysis, reporting findings to global L10N teams for continued model optimization. • Performed ongoing evaluation of content from major tech clients, including Meta/Facebook. • Applied complex linguistic guidelines to diverse data samples. • Focused on accuracy, consistency, and proper contextualization for low-resource language settings. • Detected and reported linguistic, dialect, and formatting inconsistencies.

2021 - Present

AI Data Annotator – Tech Client Projects (Uber AI, Meta, etc.)

Text

Annotated, reviewed, and translated AI training datasets to improve Somali NLP and ASR model accuracy. Conducted quality control and language adaptation for data used in AI research and deployment. Worked with large-scale datasets for cross-functional teams in major technology initiatives. • Projects included contributions to Uber AI, Meta, and other major tech firms. • Provided data annotation and translation for speech and text-based training sets. • Ensured compliance with stringent linguistic and technical quality standards. • Facilitated feedback cycles for continuous AI model improvement.

Annotated, reviewed, and translated AI training datasets to improve Somali NLP and ASR model accuracy. Conducted quality control and language adaptation for data used in AI research and deployment. Worked with large-scale datasets for cross-functional teams in major technology initiatives. • Projects included contributions to Uber AI, Meta, and other major tech firms. • Provided data annotation and translation for speech and text-based training sets. • Ensured compliance with stringent linguistic and technical quality standards. • Facilitated feedback cycles for continuous AI model improvement.

2020 - Present

Data Annotator/Reviewer – Multiple Projects (Big Language Solutions, Appen, Toloka AI, Blend, others)

AppenTextClassification

Reviewed and classified Somali-language content for policy compliance by identifying hate speech, misinformation, and sensitive material. Performed linguistic data annotation and quality checks to support natural language processing model development. Evaluated and corrected ASR outputs to improve speech recognition for low-resource languages. • Conducted content moderation based on platform-specific guidelines and criteria. • Performed verbatim and clean-read transcriptions with speaker differentiation. • Worked across multiple platforms (Big Language Solutions, Appen, Toloka AI, Blend, GoTranscript, others). • Implemented structured QA procedures for label integrity and consistency.

Reviewed and classified Somali-language content for policy compliance by identifying hate speech, misinformation, and sensitive material. Performed linguistic data annotation and quality checks to support natural language processing model development. Evaluated and corrected ASR outputs to improve speech recognition for low-resource languages. • Conducted content moderation based on platform-specific guidelines and criteria. • Performed verbatim and clean-read transcriptions with speaker differentiation. • Worked across multiple platforms (Big Language Solutions, Appen, Toloka AI, Blend, GoTranscript, others). • Implemented structured QA procedures for label integrity and consistency.

2018 - Present

Education

Work History