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G
Goodness O.

Goodness O.

Data annotator

Nigeria flaglagos, Nigeria

Key Skills

Software

No software listed

Top Subject Matter

Environmental engineering

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Bounding BoxBounding Box
Point/Key PointPoint/Key Point
SegmentationSegmentation
ClassificationClassification
Question AnsweringQuestion Answering
Text GenerationText Generation

Freelancer Overview

Experienced AI training and data labeling specialist with hands-on work across multiple platforms, including Outlier and Appen. Skilled in data annotation, prompt writing, and model evaluation, with additional experience in image correction and audio evaluation. Comfortable working across varied task types and data modalities (text, image, and audio), contributing to the training and quality assurance of AI/ML models. This breadth of experience reflects strong attention to detail and adaptability, having worked on diverse annotation and evaluation tasks that support different stages of the AI training pipeline — from generating and refining prompts to assessing model outputs for accuracy and quality. This makes for a versatile profile suited to roles requiring careful judgment across multiple data types and evaluation criteria. If you want, I can tailor this further — for example, if it's for a resume, LinkedIn summary, or job application, let me know the format and I can adjust the tone and length accordingly. I could also add specifics like how long you've done this work, any particular domains (e.g., coding, multilingual, safety), or platforms beyond Outlier and Appen if you've used others.

Labeling Experience

For one year, I worked on Outlier performing audio evaluation and data annotation tasks to support the training and refi

For one year, I worked on Outlier performing audio evaluation and data annotation tasks to support the training and refinement of AI models. My responsibilities included assessing audio outputs for quality, accuracy, and naturalness, identifying errors or inconsistencies, and providing detailed annotations and feedback to help improve model performance. This work required careful listening, strong attention to detail, and consistent judgment to ensure that the labeled data met quality standards used for training and evaluating AI systems.

Not specified

Education

B

bachelor degree

Degree not specified

Not specified
Not specified

Work History

O

outlier for one year

worked

Location not specified
Not specified