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Empower Nepal: Advancing Women, Youth, and Marginalized Representation in Media Using Machine Learning

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This is a paid opportunity. In order to be eligible to apply for this project, you need to be part of the Omdena community and have finished at least one AI Innovation Challenge.

You can find our upcoming AI Innovation Challenges at https://omdena.com/projects.

Project Background

Omdena partners with the Asia Foundation in Nepal on a project aimed at improving the availability of credible information and diverse narratives within media that better represent women, youth, and marginalized (WYM) issues and perspectives. This initiative is part of USAID CSM M&E’s efforts to advance representation practices in media.

The program will analyze mainstream media, social media, and potentially Nepali radio content using a quantitative methodology. The goal is to measure the average rating of diversity in media content and representation of WYM using the OIND 3.1 indicator. The project will focus on two provinces in Nepal: Madhesh Province and Lumbini Province spanning six months, Omdena will utilize AI modeling techniques such as NLP and ML algorithms to develop language models for Nepali, classify WYM-related media content and rate media content based on diversity and reliable representation.

Roles and Responsibilities

1. Data Engineer

We are seeking a talented and experienced Data Engineer to join the project. The ideal candidate will be responsible for organizing and managing data across multiple data storage solutions, including MongoDB and analytical databases. Additionally, you will play a crucial role in creating interactive visualizations, conducting database queries, and developing scoring algorithms for WYM representation using the OIND 3.1 Model. 

Responsibilities:

  • Data Organization and Management
  • Data Visualization
  • Database Queries
  • Backend Development
  • Scoring Algorithm Development – Develop scoring algorithms for WYM representation based on the OIND 3.1 Model. Continuously refine and improve the algorithms to enhance data accuracy.

Timeline:

  • Application deadline: 24-09-2023
  • Duration: 10 weeks 
  • Time commitment: 20 hrs/week 

People having proficiency in English and any other language can apply.

2. NLP Engineer

We are seeking a highly skilled and motivated NLP Engineer to join the project. As an NLP Engineer, you will be responsible for developing and fine-tuning Natural Language Processing (NLP) models, specifically focusing on Named Entity Recognition (NER) and Sentiment Analysis for the Nepali language. Your role will encompass setting up the NER and Sentiment Analysis models’ backends, hyperparameter tuning, annotation pipelines, and documentation.

Responsibilities:

  • Models Setup and Development (for Nepali Language):
    • Configure the model backend on an annotation platform.
    • Create and manage a pipeline for Large Language Model (LLM) annotations in the Nepali language.
    • Fine-tune hyperparameters and optimize the training algorithm for maximum accuracy in the Nepali language.
  • Create comprehensive technical documentation for both NER and sentiment analysis models:
    • Create documentation, including model architectures, hyperparameters, and training processes for the Nepali language.
    • Document best practices for using and maintaining these models.
  • Deployment:
    • Collaborate with the data engineer to ensure seamless integration of NER and sentiment analysis models for the Nepali language into production systems.

Timeline: 

We need two NLP engineers who understand any Indo-Aryan language. 

  • First NLP Engineer: 
    • Application deadline: 21-09-2023
    • Duration: 8 weeks 
    • Time commitment: 20 hrs/week 
  • Second NLP Engineer: 
    • Application deadline: 1-10-2023
    • Duration: 4 weeks 
    • Time commitment: 20 hrs/week

3. Front end developer

You will be responsible for creating and enhancing user interfaces and interactive dashboards. Your role will encompass key tasks related to onboarding, dashboard layout design, data visualization component development, data fetching implementation, user interaction enhancements, integration with the backend, and documentation and deployment.

Responsibilities:

  • Build Data Visualization Components.
  • Implement Data Fetching.
  • Implement User Interactions.
  • Integrate with Backend.
  • Collaborate with backend developers to integrate the front end.
  • Create clear and comprehensive documentation for the dashboard’s architecture, components, and functionality.
  • Collaborate with the data engineer to successfully deploy the dashboard to production environments.

Timeline: 

  • Application deadline: 5-10-2023
  • Duration: 6 weeks 
  • Time commitment: 20 hrs/week

**More details will be shared with the selected team.

Application Guidelines

1. Go to the Application Form.

2. Select the position(s) you want to apply for according to your interest, expertise, and availability.

3. Opportunity names in the dropdown options:

▪️ Data Engineer – “Data Engineer: MongoDB Specialist and Analytics Expert for OIND 3.1 Model Project”

▪️ NLP Engineer – “NLP Engineer: Nepali Language NER and Sentiment Analysis Specialist”

▪️ Front-end Developer – “UI/UX Developer and Interactive Dashboard Specialist”

4. If applying for the position of NLP Engineer, please also share with us your preference for the start date in the “Please write your relevant experiences w.r.t to the opportunities you are applying for” section.

Pro Tip: Take advantage of the “Please write your relevant experiences w.r.t to the opportunities you are applying for” to share your detailed experience with us.

Why join? The uniqueness of Omdena Top Talent Projects

Top Talent opportunities come as a natural next step after participating in Omdena’s AI Innovation Challenges.

Everyone in the community is eligible to participate once they have shown the relevant skills based on the merit of involvement in past Omdena challenges and the community.

If you are looking for the next challenge after participating in one or more Omdena AI Innovation Challenges, then we believe you have made the right choice! With a healthy, pressured environment, you will be pushed to contribute, learn and grow even more.

Find more information on how an Omdena Top Talent Program works

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Eligibility to join an Omdena Top Talent project

Finished at least one AI Innovation Challenge

Received a recommendation from the Omdena Core Team Member/ Project Owner (PO) is a plus



Skill requirements

Good English

Machine Learning Engineer

Experience working with NLP, Sentiment Analysis and/or UX/UI is a plus.



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