Tuyển Data Processing Thu Nhập Thoả Thuận Toàn Thời Gian Tại Hồ Chí Minh

Identify, analyze, and label objects in overhead imagery. Proactively communicate with project leadership, provide updates and raise issues about labeling and data workflows. Cultivate expertise and leadership in the imagery analysis domain, and gain basic machine learning knowledge to better understand how labels are utilized by our algorithms.
Identify, analyze, and label objects in overhead imagery.
Proactively communicate with project leadership, provide updates and raise issues about labeling and data workflows.
Cultivate expertise and leadership in the imagery analysis domain, and gain basic machine learning knowledge to better understand how labels are utilized by our algorithms.

3rd or 4th students from a relevant field of study who are keen on data. Be able to commit to 4 days at work. Be adaptable, and dependable, and can apply logic to multiple different scenarios. Proven analytical skills, who are excited to solve complex problems. Passionate and curious about AI technology applications. Quality-focused, detail-oriented, and able to work in a fast-paced environment. Be able to learn quickly and have a baseline of strong computer skills.
3rd or 4th students from a relevant field of study who are keen on data.
Be able to commit to 4 days at work.
Be adaptable, and dependable, and can apply logic to multiple different scenarios.
Proven analytical skills, who are excited to solve complex problems.
Passionate and curious about AI technology applications.
Quality-focused, detail-oriented, and able to work in a fast-paced environment.
Be able to learn quickly and have a baseline of strong computer skills.

Working and growing with a passionate and talented team. Attractive allowances. Flexible working hours. Various training on hot-trend technologies, best practices, and soft skills. Year-end party, team building, etc. Free in-house entertainment facilities, coffee, and snacks (instant noodles, cookies, milk, soft drinks...)
Working and growing with a passionate and talented team.
Attractive allowances.
Flexible working hours.
Various training on hot-trend technologies, best practices, and soft skills.
Year-end party, team building, etc.
Free in-house entertainment facilities, coffee, and snacks (instant noodles, cookies, milk, soft drinks...)