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Samuel Yaula Dutse

Samuel Yaula Dutse

AI Trainer (LLM / RLHF Annotation)

Nigeria flagJos, Nigeria
$20.00/hrExpertOtherTolokaAws Sagemaker

Key Skills

Software

Other
TolokaToloka
AWS SageMakerAWS SageMaker

Top Subject Matter

Llm/nlp/ai Domain Expertise
Healthcare AI/Clinical Data
Data Science/AI Education

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

RLHFRLHF
ClassificationClassification
Data CollectionData Collection
Fine-tuningFine-tuning
Computer Programming/CodingComputer Programming/Coding
TranscriptionTranscription
Bounding BoxBounding Box

Freelancer Overview

AI Trainer (LLM / RLHF Annotation). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other, NVivo, and ODK. Education includes Bachelor of Science, University of Jos (2018). AI-training focus includes data types such as Text and labeling workflows including RLHF, Classification, and AI Training.

ExpertEnglishHausa

Labeling Experience

AI Trainer (LLM / RLHF Annotation)

OtherTextRLHF
Responsible for ranking LLM model outputs, evaluating quality, and providing feedback for reinforcement learning with human feedback (RLHF) workflows. Assessed and annotated prompt-response pairs, reviewed AI-generated outputs for hallucinations, and contributed to output quality improvement. Utilized various RLHF tasks including preference ranking, response rating, and red teaming for ethical/robust model performance. • Applied RLHF concepts to improve language model alignment. • Rated AI responses using output evaluation frameworks. • Provided annotation and quality review for hallucination detection. • Supported continuous model improvement through structured feedback.

Responsible for ranking LLM model outputs, evaluating quality, and providing feedback for reinforcement learning with human feedback (RLHF) workflows. Assessed and annotated prompt-response pairs, reviewed AI-generated outputs for hallucinations, and contributed to output quality improvement. Utilized various RLHF tasks including preference ranking, response rating, and red teaming for ethical/robust model performance. • Applied RLHF concepts to improve language model alignment. • Rated AI responses using output evaluation frameworks. • Provided annotation and quality review for hallucination detection. • Supported continuous model improvement through structured feedback.

2026 - Present

Lead Data Scientist & Intern Mentor

OtherText
Conducted and supervised practical data labeling and annotation tasks as part of data science intern training. Led workshops on natural language processing (NLP), annotation, and model evaluation using live projects. Reviewed intern-annotated data, ensuring correctness and quality for industry applications. • Led NLP annotation workshops for interns. • Oversaw model evaluation and data labeling tasks. • Mentored on deployment and validation of labeled datasets. • Ensured quality data curation for industry models.

Conducted and supervised practical data labeling and annotation tasks as part of data science intern training. Led workshops on natural language processing (NLP), annotation, and model evaluation using live projects. Reviewed intern-annotated data, ensuring correctness and quality for industry applications. • Led NLP annotation workshops for interns. • Oversaw model evaluation and data labeling tasks. • Mentored on deployment and validation of labeled datasets. • Ensured quality data curation for industry models.

2023 - Present

Private AI & Data Science Tutor

OtherText
Privately tutored students in Python, machine learning, data labeling tools, and generative AI workflows. Guided learners through annotation projects, teaching practical skills in creating datasets for model training. Assisted students in building professional portfolios featuring labeled datasets and AI model outputs. • Instructed on foundational AI data labeling concepts. • Mentored on usage of annotation tools and workflow. • Reviewed student-labeled data and projects for accuracy. • Fostered applied learning in generative AI projects.

Privately tutored students in Python, machine learning, data labeling tools, and generative AI workflows. Guided learners through annotation projects, teaching practical skills in creating datasets for model training. Assisted students in building professional portfolios featuring labeled datasets and AI model outputs. • Instructed on foundational AI data labeling concepts. • Mentored on usage of annotation tools and workflow. • Reviewed student-labeled data and projects for accuracy. • Fostered applied learning in generative AI projects.

2022 - Present

AI Technical Mentor (AI for Good Hackathon)

OtherTextClassification
Mentored a team in building AI-powered maternal high-risk pregnancy prediction models during a hackathon. Guided the group on responsible annotation practices, data labeling techniques, and output interpretation. Ensured ethical deployment and validation of labels for clinical/model evaluation contexts. • Supervised preference ranking and discussion of model outputs. • Provided expertise in output evaluation and red teaming principles. • Addressed challenges in annotation for healthcare AI. • Reinforced best practices for supervised label generation.

Mentored a team in building AI-powered maternal high-risk pregnancy prediction models during a hackathon. Guided the group on responsible annotation practices, data labeling techniques, and output interpretation. Ensured ethical deployment and validation of labels for clinical/model evaluation contexts. • Supervised preference ranking and discussion of model outputs. • Provided expertise in output evaluation and red teaming principles. • Addressed challenges in annotation for healthcare AI. • Reinforced best practices for supervised label generation.

2026 - 2026

Data Collection / Enumeration Specialist

TextData Collection
Collected and documented student records, confirming data accuracy and labeling geospatial information via Open Data Kit (ODK). Ensured high-quality data labeling for a large-scale sponsorship initiative by cross-checking records and applying QA protocols. Worked in collaboration with NGOs to guarantee data label integrity, organization, and traceability. • Used ODK for structured data entry and geolabeling tasks. • Maintained labeling quality through verification processes. • Labeled student metadata for downstream analytics. • Promoted data consistency across project teams.

Collected and documented student records, confirming data accuracy and labeling geospatial information via Open Data Kit (ODK). Ensured high-quality data labeling for a large-scale sponsorship initiative by cross-checking records and applying QA protocols. Worked in collaboration with NGOs to guarantee data label integrity, organization, and traceability. • Used ODK for structured data entry and geolabeling tasks. • Maintained labeling quality through verification processes. • Labeled student metadata for downstream analytics. • Promoted data consistency across project teams.

2023 - 2024

Education

U

University of Jos

Bachelor of Science, Physics

Bachelor of Science
2014 - 2018

Work History

B

Bluehouse Technologies

Lead Data Scientist

Jos
2023 - Present
W

West Africa Examination Council

Examiner

Jos
2020 - Present