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Salvation Odika

Salvation Odika

AI Response Annotator

Nigeria flagLagos, Nigeria
$20.00/hrExpertOneformaAppenClickworker

Key Skills

Software

OneFormaOneForma
AppenAppen
ClickworkerClickworker
Micro1
TolokaToloka
TelusTelus
Other
RemotasksRemotasks
MercorMercor

Top Subject Matter

Llms Domain Expertise
Generative AI Evaluation
Machine Learning

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

ClassificationClassification
Text GenerationText Generation
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
Data CollectionData Collection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
SegmentationSegmentation
Object DetectionObject Detection
Question AnsweringQuestion Answering
Text SummarizationText Summarization

Freelancer Overview

AI Response Annotator. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OneForma and Appen. Education includes Bachelor of Science, Enugu State University of Science and Technology (2022) and Professional Diploma, Baze University (2023). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.

ExpertEnglishIgboHausaYoruba

Labeling Experience

OneForma

AI Response Annotator

OneformaText
As an AI Response Annotator at OneForma, I evaluated and scored large volumes of AI-generated text, focusing on the assessment of Large Language Model (LLM) outputs. My responsibilities included systematic rubric-based evaluation of prompt-response pairs to measure accuracy, coherence, and helpfulness. I offered feedback and flagged edge cases to enhance model reliability and participated in calibration sessions for inter-annotator consistency. • Evaluated AI outputs with rubrics focusing on multi-turn dialogues and hallucination detection. • Contributed to model benchmarking and refinement by flagging recurring failure patterns. • Participated in calibration processes to ensure scoring accuracy across annotators. • Provided actionable insights for model and guideline improvements.

As an AI Response Annotator at OneForma, I evaluated and scored large volumes of AI-generated text, focusing on the assessment of Large Language Model (LLM) outputs. My responsibilities included systematic rubric-based evaluation of prompt-response pairs to measure accuracy, coherence, and helpfulness. I offered feedback and flagged edge cases to enhance model reliability and participated in calibration sessions for inter-annotator consistency. • Evaluated AI outputs with rubrics focusing on multi-turn dialogues and hallucination detection. • Contributed to model benchmarking and refinement by flagging recurring failure patterns. • Participated in calibration processes to ensure scoring accuracy across annotators. • Provided actionable insights for model and guideline improvements.

2023 - 2026
Appen

Image Annotation Specialist

AppenImageClassification
In my role as an Image Annotation Specialist at Appen, I labeled and annotated large-scale image datasets for machine learning model training. I applied consistent labeling protocols and maintained high quality assurance standards to ensure reliable data for supervised learning tasks. I worked with project leads to refine guidelines and addressed ambiguities to enhance dataset quality. • Consistently annotated diverse images following strict protocols and standards. • Collaborated on refining annotation criteria in response to ambiguous data cases. • Maintained detailed documentation for QA and process traceability. • Ensured accurate and consistent image labeling for downstream AI applications.

In my role as an Image Annotation Specialist at Appen, I labeled and annotated large-scale image datasets for machine learning model training. I applied consistent labeling protocols and maintained high quality assurance standards to ensure reliable data for supervised learning tasks. I worked with project leads to refine guidelines and addressed ambiguities to enhance dataset quality. • Consistently annotated diverse images following strict protocols and standards. • Collaborated on refining annotation criteria in response to ambiguous data cases. • Maintained detailed documentation for QA and process traceability. • Ensured accurate and consistent image labeling for downstream AI applications.

2022 - 2024

Education

E

Enugu State University of Science and Technology

Bachelor of Science, Computer Science Education

Bachelor of Science
2022 - 2022
B

Baze University

Professional Diploma, Cybersecurity

Professional Diploma
2023

Work History

E

Enterprise

Cloud Security & IAM Analyst

Abuja
2023 - Present
C

Cloud & Infrastructure Security

Security Operations & Incident Response Support

Abuja
2020 - 2022