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Data Entry Analyst
1 month ago
Location: Remote
Company: Forever Beauty
6 days working.
Timing:
2:00 p.m. to 11:00 p.m
Job Overview:
Forever Beauty is looking for a meticulous and detail-oriented data entry person with a strong understanding of facial skin issues to contribute to a machine-learning project. The candidate will be responsible for analyzing facial images and annotating specific skin conditions accurately, such as dark circles, wrinkles, nasolabial folds, and sagging skin. The annotations will be used to train our AI models to detect and analyze these skin concerns.
Key Responsibilities:
- Annotate facial images with precise labels indicating skin concerns such as dark circles, wrinkles, nasolabial folds, sagging skin, and other common facial issues.- Ensure each image is labeled accurately and consistently, adhering to the provided guidelines.- Identify and tag subtle skincare-related issues and facial concerns from high-resolution images.- Collaborate with the AI and data science team to improve the quality of annotations and enhance model performance.- Maintain a high level of accuracy and attention to detail in every task.- Provide feedback and suggest improvements to the annotation process to enhance model training.
Requirements:
- Skincare Knowledge: Strong understanding of facial skin concerns, including dark circles, wrinkles, nasolabial folds, sagging skin, acne, pigmentation, and other common issues.- Attention to Detail: The ability to notice and identify even subtle skin concerns in facial images, ensuring high precision in annotations.- Experience: Prior experience in image annotation, skincare analysis, dermatology, or related fields is preferred.- Technical Skills: Familiarity with annotation tools or willingness to learn. Basic knowledge of image processing software would be a plus.- Communication: Good communication skills to work effectively with the AI and data teams.- Accuracy: High degree of responsibility and focus on accuracy, as the data will directly affect the model's training and outcomes.
Preferred Qualifications:
- Experience in skincare projects.- Previous experience in a machine learning project or image labeling/annotation role.- Familiarity with AI models and how they use annotated data for training.
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