Data Labeling Specialist

Snap Inc.В isВ aВ technology company. WeВ believe that the camera presents the greatest opportunity toВ improve the way people live and communicate. Snap Inc. contributes toВ human progress byВ empowering people toВ express themselves, live inВ the moment, learn about the world and have fun together.

WeВ are looking for aВ Data Labeling SpecialistВ toВ join our big team. Along with the team you will work remotely with data assignment and have anВ opportunity toВ beВ part ofВ AI algorithms development.

What you’ll do:

• Accurately label various data using aВ web-based platform.
• Describe images and videos inВ English.
• Segmentation ofВ different objects and details inВ the images.
• Review and select images according toВ certain criteria.
• Conduct image research and create collections.
• Follow established labeling guidelines.
• Meet data labeling quality and quantity requirements.
• Meet weekly labeling targets with high accuracy.
• Adhere toВ data privacy and confidentiality agreements.
• Communicate effectively with team members.

Minimum qualifications:

• Proficient inВ graphic editors, familiarity with different graphic practices.
• English (Upper-Intermediate orВ higher). It’s necessary toВ have solid writing skills.
• Fast learning.
• Detail-orientation.
• Result focus.
• Creativity.
• Team player — ability toВ work independently asВ well asВ collaboratively with the team.
• Proficient user ofВ aВ PC, MSВ Office orВ Adobe Acrobat, Google Suite.

WeВ offer:

• Full-time/ part-time work depending onВ your capabilities.
• Remote job.
• Flexible working hours.
• Great first job option.
• Work inВ aВ team with experienced specialists.
• AВ competitive reward for your skills, input, and results.

Working conditions may include both full-time and part-time work, with aВ salary ofВ upВ toВ  600В USD per month. Payment may vary depending onВ the amount ofВ work performed.

What are you waiting for? We are an equal opportunity place to work. Don’t hesitate and send us your resume! Start your journey in data labeling and work on projects that change the world today!

Thank you and good luck!