Armsrodam N.

Key Skills

Software

Appen

Remotasks

iMerit

Don't disclose

Top Subject Matter

Conversational AI

Nlp Domain Expertise

multilingual datasets

Top Data Types

Text

3D Sensor

Audio

Image

Document

Top Task Types

Cuboid

RLHF

Transcription

Freelancer Overview

Senior AI Data Annotation & LLM Evaluation Specialist at Appen (Jun 2021–Present). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Remotasks, and iMerit. Education includes Bachelor of Science, Technical University of Mombasa (2023). AI-training focus includes data types such as Text, 3D Sensor, and Audio and labeling workflows including Evaluation, Rating, and Cuboid.

Labeling Experience

AI Language Trainer & Data Contributor at Outlier AI / DataForce / Toloka (Jan 2022–Present)

TextRLHF

Participate in RLHF and language model training programs by evaluating model outputs for multiple conversational quality criteria. Assess coherence, safety, factual correctness, and conversational quality, then support moderation-oriented dataset improvements. Complete text classification, ranking, prompt evaluation, and related data contribution tasks for training workflows. • RLHF-oriented output evaluation • Coherence, safety, and factual correctness checks • Text classification, ranking, and moderation tasks • Prompt evaluation and dataset contribution

2022 - Present

AI Transcription & QA Editor at Rev (Mar 2021–Present)

Don't discloseAudioTranscription

Produce and review high-accuracy transcription outputs for multilingual speech datasets. Correct AI-generated transcription text to improve readability and reduce errors. Perform QA on multilingual speech content including audio-text alignment to ensure transcription quality. • High-accuracy transcription production • AI transcription correction for readability • QA review of multilingual speech datasets • Audio-text alignment checks

2021 - Present

Senior AI Data Annotation & LLM Evaluation Specialist at Appen (Jun 2021–Present)

AppenText

Lead AI annotation and LLM evaluation initiatives for conversational AI, NLP, and multilingual datasets to support generative assistant performance. Evaluate AI-generated responses for factual accuracy, tone, context, safety, and relevance, and apply semantic tagging for downstream use. Partner with QA teams to improve annotation standards and workflow reliability. • Response evaluation (accuracy, tone, context, safety, relevance) • Semantic tagging, ranking, sentiment analysis, and intent classification • Dataset contribution for virtual assistants and generative AI systems • QA collaboration to enhance labeling quality

2021 - Present

AI Data Annotation & Computer Vision Specialist at Remotasks (Scale AI) (Jan 2020–Present)

Remotasks3D SensorCuboid

Execute large-scale autonomous driving and machine learning annotation projects using LiDAR and computer vision labeling techniques. Perform LiDAR annotation, semantic segmentation, object tracking, image classification, and cuboid labeling to improve training dataset quality. Validate and QA datasets to raise model precision and training effectiveness. • LiDAR annotation and cuboid/spatial labeling • Semantic segmentation and object tracking • Image classification and dataset validation • Maintain high accuracy standards across large-scale datasets

2020 - Present

Cuboid Annotation Specialist at iMerit (Project-Based Experience)

iMerit3D SensorCuboid

Perform high-precision cuboid annotation for autonomous vehicle and computer vision training datasets. Annotate 3D objects with cuboid and spatial labeling techniques while following structured labeling workflows. Coordinate with quality-control teams to ensure consistency and annotation accuracy for model optimization. • 3D cuboid and spatial labeling • Autonomous vehicle/computer vision dataset annotation • Structured labeling workflow support • QC collaboration for consistency and accuracy

Not specified

Education

Work History