Data Annotation Specialist

Rosetta.ai helps fashion e-commerce uncover consumer's shopping preferences and provide personalized shopping experiences to consumers. We're making e-commerce merchants have enterprise-level AI backup on day 1.

Labeled data is the critical ingredient for training powerful Deep Neural Networks, which help drive the Rosetta.ai technology autonomously. In this role, you will work with a user interface to label images for various e-commerce products.

The Data Annotation Specialist role is an entry-level position for individuals who are interested in working in the Artificial Intelligence and Machine Learning industry. We are looking for a candidate who is a self-starter, detail-oriented, and adaptable.

Responsibilities:

• Use the labeling interface to label images critical to training our deep neural networks.
• Interact with the engineer to improve the design of an efficient labeling interface.
• Be expected to gain basic computer vision and machine learning knowledge to better understand how the labels are used by our learning algorithms, as this will allow you to make more judgment calls on difficult edge cases that might come up during labeling.
• Label machine learning data from customers.
• Do post-process audits and write error reports on data and tasks.

[Minimum Qualifications]

BACKGROUND & SKILLS:

• At least, High School diploma or evidence of exceptional ability.
• Reading capability for the English version of data.
• Able to work in a fast-paced environment, learn quickly, and be able to prioritize assignments.
• Communicate clearly using excellent written and verbal skills.

WORKING STYLE:

• Passionate and curious about technology and data science.
• Detail-oriented and patient.
• Be reliable, have good initiative, committed, and quality-focused.

[Preferred Qualifications] (Optionally, the more, the better)

BACKGROUND & SKILLS:

• Worked at apparel, cosmetics, accessory, or other fashion-related industry.
• Proficient in Microsoft Office Suite.

Benefits:

• Healthcare (Medical, Dental, Vision)
• Retirement savings or 401(K)
• Paid time off (Annual)
• Maternity/Paternity leave
• Life insurance

Perks:

• Tuition reimbursement and training
• Personal facilities (Laptop, Screen)
• Free health screening
• Free snacks and drinks
• Open and creative environment
• Irregular dinner/outing, happy hours
• Extended annual time off
• Paid time off to volunteer (Birthday, Menstrual, Funeral)
• Flexible schedules and working time
• Remote working optionally
• Employee stock ownership plan (ESOP)