AI Research Lead - African First Language Models

AI Research Lead - African First Language Models

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
GSMA LLC

At a Glance

  • Tasks: Lead the development of Africa-first language models and coordinate with diverse teams.
  • Company: Join a pioneering tech initiative focused on African languages and AI.
  • Benefits: Flexible working options, competitive pay, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and community engagement.
  • Why this job: Make a real impact by shaping AI models that represent African languages.
  • Qualifications: Experience in NLP and language model development, especially for low-resource languages.

The predicted salary is between 60000 - 80000 € per year.

The Africa AI Language Initiative is one of our most strategically important efforts — aiming to build Africa-first, open, locally representative AI models across the continent’s most widely spoken languages. As our Subject Matter Expert, you will play a pivotal role in shaping model design, guiding technical execution, and ensuring high-quality delivery across multiple partners.

The Africa AI Language Initiative brings together mobile operators, African researchers, startups, academia, and GSMA to build and deploy open, representative language models for Africa. The team is multidisciplinary — spanning AI research, data governance, telco engagement, technical programme delivery, and community development.

You will guide the development of 3–5 Africa-first open language models end-to-end, acting as the technical anchor and coordinator across multiple model-building tracks. You will ensure alignment between researchers, operators, and partners, while driving high-quality technical outcomes, documentation, and model readiness.

You will bring demonstrable experience in developing and evaluating language models, with a strong grounding in NLP techniques relevant to African languages. You’ll be able to work across diverse linguistic structures—such as tonal variation, agglutination, rich morphology, and non-standardised orthographies—to ensure that models reflect real-world language use across the continent. Your ability to analyse datasets, identify representational gaps, and guide the creation of high-quality corpora will directly shape the performance and inclusiveness of our Africa first models.

You’ll be comfortable working end-to-end across the research workflow: from tokenisation strategies suitable for low resource languages, to training and finetuning multilingual models, to designing evaluation methods that capture linguistic nuance. You will apply your technical depth to help partners understand model behaviour, tradeoffs, and opportunities for improvement. You’ll communicate these insights clearly, helping a broad ecosystem—including operators, researchers, community groups, and developers—collaborate effectively around open model development.

You’ll be curious and adaptable, able to test new methods quickly while maintaining scientific rigour. Through structured documentation, reproducible experimentation, and responsible data practices, you’ll help ensure these open models meet the highest standards for transparency and reliability.

You will bring demonstrable experience in NLP/LLMs, especially for multilingual or low-resource languages, and the ability to coordinate complex technical programmes. You’ll need to communicate effectively across teams, drive delivery, and work autonomously while contributing to a collaborative ecosystem.

Core skills:

  • Data Analysis: You’ll apply analytical rigour to evaluate datasets and model outputs, identifying linguistic patterns, bias risks, and areas for improving representation across African languages.
  • AI Research: You’ll explore and adapt advanced NLP techniques—including tokenisation, alignment, and evaluation methods—to address the challenges of low-resource and morphologically rich languages.
  • Communication: You’ll translate complex technical concepts into clear, accessible explanations for partners across Africa, enabling shared understanding of modelling decisions and outcomes.
  • Delivery: You’ll drive research workstreams with structure and consistency, ensuring training runs, evaluations, documentation, and model releases are delivered to a high technical standard.
  • Stakeholder Management: You’ll collaborate confidently with researchers, operators, universities, and data communities, ensuring alignment on linguistic priorities, data quality, and model behaviour.

Contract type: Short term Contractor

Worker type: Contingent Worker

AI Research Lead - African First Language Models employer: GSMA LLC

As an AI Research Lead at our company, you will be part of a pioneering initiative that prioritises the development of Africa-first language models, fostering a collaborative and inclusive work culture. We offer flexible working arrangements, opportunities for professional growth, and the chance to make a meaningful impact on the representation of African languages in AI. Join us in a dynamic environment where your expertise will shape the future of technology across the continent.

GSMA LLC

Contact Detail:

GSMA LLC Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Research Lead - African First Language Models

Tip Number 1

Network like a pro! Reach out to folks in the AI and NLP space, especially those involved with African languages. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio showcasing your work with language models, especially if you’ve tackled low-resource languages. Share your projects on GitHub or personal websites, and make sure to highlight any unique approaches you've taken.

Tip Number 3

Prepare for interviews by brushing up on your communication skills. Be ready to explain complex NLP concepts in simple terms, as you'll need to collaborate with diverse teams. Practice explaining your past projects and how they relate to the role you're applying for.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our mission to build Africa-first language models. Let’s make it happen together!

We think you need these skills to ace AI Research Lead - African First Language Models

NLP Techniques
Language Model Development
Data Analysis
Tokenisation Strategies
Multilingual Model Training
Evaluation Methods
Stakeholder Management

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the AI Research Lead role. Highlight your experience with African languages and NLP techniques, as this will show us you understand what we're looking for.

Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that relate to data analysis, AI research, and stakeholder management. This helps us see how you can contribute to our Africa AI Language Initiative.

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications and passion for the role.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it’s super easy!

How to prepare for a job interview at GSMA LLC

Know Your NLP Inside Out

Make sure you brush up on your knowledge of NLP techniques, especially those relevant to African languages. Be ready to discuss specific examples of how you've developed and evaluated language models, and how you can apply that experience to the role.

Showcase Your Communication Skills

Since you'll be translating complex technical concepts for diverse stakeholders, practice explaining your past projects in simple terms. Think about how you can convey your insights clearly to non-technical partners, as this will be crucial for collaboration.

Demonstrate Your Analytical Rigour

Prepare to discuss how you've applied analytical methods to evaluate datasets and model outputs. Bring examples of how you've identified linguistic patterns or bias risks in your previous work, as this will show your ability to enhance representation across African languages.

Be Ready to Discuss Collaboration

This role involves working with various teams and stakeholders. Think of examples where you've successfully coordinated complex technical programmes or collaborated with researchers and operators. Highlight your ability to drive delivery while maintaining a collaborative spirit.