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Boluwatife A.

Boluwatife A.

Data Annotator & Labelling Specialist (Scale AI / Remotasks)

United Kingdom flagN/A, United Kingdom

Key Skills

Software

Scale AIScale AI
RemotasksRemotasks
Other

Top Subject Matter

AI output annotation
LLM evaluation
text quality and safety

Top Data Types

TextText
ImageImage

Top Task Types

RLHFRLHF
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

Data Annotator & Labelling Specialist (Scale AI / Remotasks). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Remotasks, and Other. Education includes Bachelor of Science, Open University (2022) and Secondary School Certificate, Federal Government College (2018). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

Scale AI

AI Content Reviewer & Prompt Annotator

Scale AIScale AIImageImageClassificationClassificationRLHFRLHF

No description provided.

2021 - Present

AI Content Reviewer & Prompt Annotator (Freelance / Independent Contracts)

OtherTextTextRLHFRLHF

Reviewed, labeled, and ranked prompt-response pairs for LLM training datasets. Assessed outputs against rubrics for helpfulness, harmlessness, honesty, and overall quality using comparative annotation tasks. Wrote and labeled original prompts and provided detailed rationales to support model fine-tuning. • Prompt-response evaluation for LLM training datasets • Comparative response ranking with written decision rationales • Original prompt creation across varied subject domains • Continuous guideline adherence while adapting to changing requirements

2021 - Present
Scale AI

Data Annotator & Labelling Specialist (Scale AI / Remotasks)

Scale AIScale AITextText

Annotated large volumes of AI-generated text outputs to assess quality and safety characteristics. Applied complex, multi-page guidelines to maintain consistently high accuracy scores across varying project types. Flagged edge cases, ambiguous labels, and guideline gaps with detailed reports to improve annotation frameworks. • Text classification and sentiment analysis labeling • Instruction-response evaluation, content ranking, and named entity labeling • Quality assurance including fluency, tone, factual correctness, and safety checks • Independent queue management and deadline/volume target delivery in a remote setting

2021 - Present

Education

F

Federal Government College

Secondary School Certificate, Secondary Education

Secondary School Certificate
2018 - 2018
O

Open University

Bachelor of Science, Computer Science

Bachelor of Science
2022

Work History

R

Retail & Service Sector

Customer Service Representative and Data Administrator

N/A
2019 - 2020