Wolof Language Specialist - AI Trainer

Invisible TechnologiesInvisible Technologies·Remote(Burkina Faso, France, Gambia, Guinea, Mali, Mauritania, Niger, Senegal)
AI & Machine Learning

WFA Digital Insight

As the demand for AI training data specialists grows, with a 25% increase in 2025, skilled professionals in languages like Wolof are in high demand. Invisible Technologies stands out for its commitment to shaping the future of AI with culturally rich and contextually accurate models. With the rise of remote work, opportunities like this offer flexibility and the chance to work on cutting-edge projects. Before applying, candidates should be aware of the importance of linguistic precision, cultural knowledge, and the ability to work independently in a remote setting. The role requires a deep understanding of Wolof and the capacity to provide expert feedback on AI-generated content.

Job Description

About the Role

The Wolof Language Specialist - AI Trainer role at Invisible Technologies is a unique opportunity to contribute to the development of large-scale language models. As a specialist in the Wolof language, you will play a crucial role in shaping the future of AI by providing high-quality training data. This involves working with cutting-edge AI tools to evaluate and refine Wolof text outputs, ensuring that the models deliver natural, accurate, and contextually rich experiences.

The day-to-day responsibilities of this role are centered around reviewing and annotating Wolof content, assessing AI-generated outputs for accuracy and fluency, and collaborating with the team to refine prompts, evaluation methods, and linguistic guidelines. Your expertise in Wolof will be instrumental in strengthening model performance and ensuring that the AI tools developed meet the needs of Wolof speakers worldwide.

Invisible Technologies is committed to creating AI models that are not only technologically advanced but also culturally sensitive and appropriate. As a Wolof Language Specialist - AI Trainer, you will be part of a team that values linguistic depth, cultural context, and precision. Your work will have a direct impact on the quality of AI experiences for millions of Wolof speakers, making this a fulfilling role for those passionate about language, culture, and technology.

What You Will Do

  • Review and annotate Wolof content to ensure it meets the required standards for training AI models.
  • Evaluate AI-generated Wolof text outputs for accuracy, fluency, and cultural appropriateness.
  • Collaborate with the team to develop and refine linguistic guidelines, prompts, and evaluation methods.
  • Identify and document error patterns in AI-generated outputs to improve model performance.
  • Provide expert feedback on grammar, syntax, semantics, style, and cultural appropriateness of Wolof text outputs.
  • Work with cutting-edge AI tools to train and test language models.
  • Develop and maintain databases of annotated Wolof texts for use in model training.
  • Participate in team discussions to align goals, strategies, and best practices in AI training data development.
  • Stay updated with the latest developments in AI, linguistics, and cultural trends relevant to the Wolof language.

What We Are Looking For

  • Fluency in Wolof, with a deep understanding of its grammar, syntax, and cultural context.
  • Demonstrated experience in translation, linguistics, language teaching, editing, or related professional work.
  • Experience in training, coaching, or linguistic annotation is highly desirable.
  • Clear communication skills, with the ability to provide detailed feedback and collaborate effectively with team members.
  • Strong cultural knowledge and understanding of the nuances of the Wolof language.
  • Attention to detail, with the ability to work accurately and efficiently.
  • Experience working with AI tools or technologies is a plus.
  • Ability to work independently in a remote setting, with strong self-motivation and discipline.

Nice to Have

  • Experience in project management or team leadership.
  • Familiarity with machine learning principles and AI model development.
  • Knowledge of other languages, particularly those spoken in the regions where Wolof is spoken.
  • Certification in linguistics, translation, or a related field.
  • Experience with data annotation tools and platforms.

Benefits and Perks

  • Competitive hourly rate, with the possibility of earning between $8 and $65 per hour.
  • The opportunity to work on cutting-edge AI projects that impact millions of people.
  • Flexible, remote work arrangement, allowing you to work from anywhere with a stable internet connection.
  • Collaboration with a talented team of professionals who are passionate about AI and language.
  • Professional development opportunities, including training and support for career growth.
  • The satisfaction of contributing to the development of culturally sensitive and accurate AI models.
  • Access to the latest technologies and tools in AI and linguistics.

How to Stand Out

  • Linguistic Precision: Ensure your portfolio showcases your ability to provide detailed, accurate feedback on linguistic aspects such as grammar, syntax, and semantics.
  • Cultural Knowledge: Highlight your understanding of Wolof culture and how it influences language use, as this is crucial for developing culturally appropriate AI models.
  • Technical Skills: Familiarize yourself with AI tools and platforms, and be prepared to discuss your experience or willingness to learn these technologies.
  • Remote Work Readiness: Demonstrate your ability to work independently and manage your time effectively in a remote setting.
  • Salary Negotiation: Be prepared to discuss your expected hourly rate based on your experience and the company’s pay range, and consider factors such as your location and the cost of living.
  • Portfolio Preparation: Prepare a portfolio that includes examples of your work in linguistic annotation, translation, or related fields, and be ready to discuss your approach and methodology.
  • Interview Preparation: Research the company and the role thoroughly, and prepare questions to ask during the interview, such as the team’s dynamics, the company culture, and opportunities for professional growth.

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