31 Oct 2019

Senior Associate Machine Learning at Digital Divide Data

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Digital Divide Data(DDD) transforms lives around the world through sustainable training and employment programs which provide a path to lifelong employment and opportunity.

DDD believes talent has no boundaries–and opportunities shouldn’t either. We are constantly looking for great talent to join us in this great cause. You may visit our website for more information about our program (https://www.digitaldividedata.com)

DDD is at the forefront of the Machine Learning where Machine learning teams and AI startups leverage DDD’s 500+ training data associates to prepare high-quality, structured training data sets at scale to train, test, and improve machine learning algorithms that deliver real world applications

Job Description

We are looking for a senior associate (s) to lead our teams in the Machine Learning Production line. The job holder will be responsible for team leadership and training,  testing of projects tools and ensuring production is in line with client requirements.

 Responsibilities

  • Lead a team of at least ten Associates at a time in executing relevant annotation tasks.
  • Use a variety of software tools to mark objects, activities, events, or other items of interest in images and videos.
  • Attach metadata (comments, markups, etc.) to video data in accordance with client requirements
  • Keep ownership of each annotation assignment, collaborate with the Manager, and ensure that annotations meet project requirements with high-quality
  • Annotate and label image and video data via computer using various internal software programs.
  • Provide constructive feedback to our internal team on tooling and processes for more efficient labeling, and to improve data quality.
  • Maintain ownership of each annotation assignment, and respond to any changes in procedure.

 Qualifications

  • Proficient knowledge in computer systems and technologies
  • Comfortable viewing videos that may sometimes contain violent or otherwise difficult to watch video
  • Superb attention to detail and interested in analyzing large amount of media
  • Experience in image/text and video annotation/labeling
  • A true team player and excited about being an integral part of our annotation team
  • A self-starter capable of working alone or in a small group
  • Enjoys working with a fast paced team, but able to work at the speed projects require

Benefits and Compensation

  • Full time competitive compensation.
  • Full medical coverage.
  • Opportunity for University Scholarships.
  • Be part of Global Team delivering lasting IMPACT.

How to Apply

If the above sounds like an exciting role to you, please tell us why you believe you’re a good fit and we’ll be in touch.

Interested and qualified candidates are invited to follow the link https://forms.gle/ZhNtxmGHyWTE7Nao8  and submit their application on or before 1st  November 2019.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status






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