Samuel M.

Key Skills

Software

Other

Remotasks

Toloka

Top Subject Matter

Generative AI output evaluation and RLHF feedback

Multimodal dataset annotation for AI model training

Multilingual sentiment and intent labeling for ML datasets

Top Data Types

Text

Video

Image

Document

Top Task Types

Segmentation

Entity (NER) Classification

Freelancer Overview

Online AI Training & Data Labeling Associate at Outlier AI. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Remotasks, and Toloka. Education includes Bachelor of Education, Masinde Muliro University of Science and Technology (2026). AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation, Rating, and Segmentation.

Labeling Experience

Online AI Training & Data Labeling Associate at Outlier AI

OtherText

Evaluated generative AI outputs for relevance, factual consistency, and linguistic quality to support model improvement. Contributed to reinforcement learning feedback (RLHF) workflows and iterative annotation refinement for better dataset categorization. Reviewed outputs against quality criteria to sustain high daily performance. • Assessed output relevance and factual consistency against task requirements • Evaluated linguistic quality and adherence to expected language norms • Participated in RL feedback/refinement cycles to improve categorization efficiency • Maintained high review scores while exceeding daily annotation targets

2024 - Present

Data Annotation Specialist (Freelance) at Remotasks

RemotasksVideoSegmentation

Annotated and labeled multimodal datasets (images, text, audio, and video) to support AI model training. Completed high-volume labeling tasks including bounding boxes, segmentation, and text categorization for dataset preparation. Worked with remote QA teams to resolve inconsistencies and protect dataset integrity across multilingual projects. • Produced bounding box and segmentation annotations for training data • Labeled and categorized text content for downstream models • Transcribed/validated and handled multilingual dataset QA activities (as part of labeling) • Improved project turnaround efficiency through structured workflow management

2023 - Present

AI Data Labeling Contributor at Toloka

TolokaTextEntity (NER) Classification

Performed image and text labeling for machine learning dataset development. Conducted sentiment analysis and intent classification for multilingual data to refine labeling accuracy. Contributed to annotation quality through task completion and achieving strong acceptance performance. • Labeled images and text inputs for ML training datasets • Performed sentiment analysis and intent classification for multilingual examples • Improved data accuracy via refinement of labeled entries • Maintained 95%+ task acceptance and top-rated contributor status

2022 - 2023

Education

Work History