Salome Pariyar
@salomepariyar
Passionate and detail-oriented professional with expertise in image annotation and data labeling.
What I'm looking for
I am a dedicated and detail-oriented professional with a strong background in image annotation and data labeling, committed to enhancing AI technologies through precise and nuanced work. With experience as an Image Annotation Team Lead at CloudFactory and contributions to the Odyssey Project, I have developed a keen eye for detail and a passion for improving the quality of training data for AI models.
My academic background includes a Diploma in Pharmacy from Iwamura College of Health Science, where I honored my ability to analyze and interpret visual data. I am fluent in English, Hindi, and Nepali, with advanced proficiency in reading, writing, and auditory comprehension. I thrive in remote environments and am committed to delivering high-quality outputs while collaborating effectively with cross-functional teams.
Experience
Work history, roles, and key accomplishments
Image Annotation
Invisible Technologies
Jan 2023 - Jan 2024 (1 year)
Analyzed and sorted images to enhance the quality and accuracy of visual data interpretation. Collaborated with a team to improve project workflows and participated in discussions to optimize annotation processes.
Image Annotation
Invisible Technologies
Jan 2023 - Jan 2024 (1 year)
Analyzed and sorted images to enhance the quality of visual data interpretation. Collaborated with a team to improve workflows and participated in discussions to optimize annotation processes.
Team Lead Data Annotation
CloudFactory
Jan 2022 - Jan 2023 (1 year)
Led a team of annotators in creating detailed and accurate image annotations for AI training datasets. Focused on image labeling and quality assurance, ensuring high standards and timely project delivery while collaborating with cross-functional teams.
Team Lead Data Annotation
CloudFactory
Jan 2022 - Jan 2023 (1 year)
Led a team of annotators in creating detailed and accurate image annotations for AI training datasets. Focused on image labeling and quality assurance, ensuring high standards and consistency in data outputs. Collaborated with cross-functional teams to meet project goals in a remote work environment.
Education
Degrees, certifications, and relevant coursework
Invisible Technologies
Diploma in Pharmacy, Pharmacy
2024 -
Activities and societies: Collaborated with a team to foster effective communication and streamline project workflows. Participated in regular team meetings to share insights and discuss strategies for improving annotation processes.
Analyzed and sorted images with precision, enhancing the quality and accuracy of visual data interpretation. Improved research and writing skills by creating detailed annotations and descriptions for diverse image sets.
Learners' Academy
Iwamura College of Health Science
Availability
Location
Authorized to work in
Job categories
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