Steve N.

Key Skills

Software

Appen

Scale AI

Clickworker

Top Subject Matter

NLP tasks (sentiment, intent, NER) for AI training

Computer vision image annotation (detection and segmentation)

ASR data preparation (audio transcription)

Top Data Types

Text

Image

Audio

Document

Top Task Types

Entity (NER) Classification

Polygon

Transcription

RLHF

Classification

Freelancer Overview

Freelance Data Annotator / AI Trainer (Appen, Remote). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen, Scale AI, and Clickworker. Education includes Bachelor of Science, University of Nairobi (2023) and Kenya Certificate of Secondary Education, Alliance High School (2018). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Polygon, and Transcription.

Labeling Experience

Freelance Data Annotator / AI Trainer (Appen, Remote)

AppenAudioTranscription

In his Appen freelance AI training work, Steve transcribed and reviewed audio recordings for ASR (automatic speech recognition) model training. He produced clean, consistent transcriptions by applying the project’s audio labeling standards. He maintained high accuracy while completing large sets of audio tasks. • Transcribed audio recordings for ASR training • Reviewed recordings to ensure transcript quality • Produced consistent labels for machine learning datasets • Worked efficiently under time and volume constraints

2023 - Present

Freelance Data Annotator / AI Trainer (Appen, Remote)

AppenImagePolygon

While working remotely with Appen as a freelance Data Annotator / AI Trainer, Steve labeled image datasets for computer vision models. He used bounding boxes and polygon tools to create segmentation-style annotations aligned with task requirements. He ensured labeled outputs were accurate and completed within strict deadlines. • Labeled images for object detection and image segmentation • Used bounding box and polygon annotation tools • Maintained quality while handling high-volume daily quotas • Completed tasks under tight timelines

2023 - Present

Freelance Data Annotator / AI Trainer (Appen, Remote)

AppenTextEntity (NER) Classification

As an Appen freelance Data Annotator / AI Trainer, Steve annotated large volumes of text data for multiple NLP tasks, including sentiment analysis, intent classification, and named entity recognition (NER). He followed complex annotation guidelines, maintained consistency across projects, and sustained an accuracy rate above 97% while meeting high daily quotas. He also contributed to improving documentation by providing feedback on ambiguous instructions. • Annotated 50,000+ text samples for sentiment, intent, and NER tasks • Applied guideline interpretation to handle edge cases and ambiguous examples • Tracked performance and maintained accuracy above 97% • Provided feedback to refine annotation instructions

2023 - Present

Data Labeling Specialist (Remotasks / Scale AI, Remote)

Scale AIImageClassification

During his contract role with Remotasks / Scale AI, Steve tagged and annotated images for autonomous vehicle-related datasets. He labeled visual concepts such as lane detection, traffic signs, and pedestrian identification according to annotation requirements. He contributed to dataset reliability by performing review and quality-check activities. • Tagged autonomous vehicle dataset images • Labeled lane detection, traffic sign classification, and pedestrian identification • Ensured alignment with labeling guidelines • Reviewed annotations for correctness and consistency

2022 - 2023

Data Labeling Specialist (Remotasks / Scale AI, Remote)

Scale AITextRLHF

As a Data Labeling Specialist with Remotasks / Scale AI, Steve performed data work to support LLM training and alignment. He completed text classification, toxicity labeling, and RLHF-related tasks, and he annotated conversational outputs. He also reviewed and quality-checked other annotators’ submissions to flag inconsistencies. • Performed toxicity and text classification labeling • Completed RLHF tasks for large language model training • Annotated and ranked conversational AI responses for quality/helpfulness/safety • Performed QA checks by flagging inconsistent annotations

2022 - 2023

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Education

Work History