About Digital Divide Data
Digital Divide Data (DDD) is a US based non-profit, mission driven enterprise with the goal of using technology and digital skills to bridge the divide between economically and socially marginalized youth and employment opportunities that lead to a sustainable and viable future. DDD identifies talented but underserved youth in Africa and Asia (Kenya, Cambodia, and Laos are main centers) to enter formal employment, undergo professional training and skills development and pursue tertiary education. Our headquarters are in New York, and we have over 1,500 employees across our operations in Kenya, Cambodia, and Laos.
On the business side DDD provides data preparation services to build highly reliable and accurate training datasets for some of the most innovative applications in AI and machine learning today. Our early stage, fast growing, and well-funded machine learning business partners with clients that depend on us to provide quality data labeling, annotation, and enrichment services for computer vision and natural language processing use cases across robotics, sports analytics, aerial imagery, e-commerce, fintech, telemedicine, media, agribusiness, and autonomous vehicles.
We are looking for a consultant with expertise in agronomy to help manage training and education for an image analysis project. This position will require approximately 10 hours per week, split between fielding questions from our data analysts, and creating instructional materials to ensure highly accurate labeling of images.
● Completed degree in agricultural science
● Field experience in agriculture with a variety of crops
● 10 hours availability per week
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. If interested kindly submit your application on or before 18 Oct 2021.
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