Get paid to train AI on your own schedule
Are you a student or a freelancer? Turn your skills and time into income. Work from anywhere on fully flexible projects that fit your lifestyle, allowing you to get paid for every annotation task you complete while contributing to global AI development.
Your Pathway to an AI Data Career
We don’t just teach skills; we build careers. The DataLens Africa AI Talents Program creates a bridge between aspiring AI professionals and the booming AI industry.
Step 1: Upskill
Enroll in our expert-led courses to master data annotation, QA, and LLM fine-tuning.
Step 2: Get Certified
Receive industry-recognized certification upon completion of your final project assessment.
Step 3: Get Hired
Qualified graduates gain access to paid, remote projects with global AI clients.
Global Skills, Local Relevance
The AI Data Talent Program equips participants with globally competitive skills in data annotation, quality assurance, and LLM evaluation — the same skills used in top AI labs around the world. Every module is designed to meet international standards, ensuring learners can confidently work on AI projects in a manner that meet global industry standards.
Your perspective is an asset. In an AI world seeking diversity of thought, your understanding of local nuance, cultural context, and linguistic subtlety becomes a professional superpower. We don’t just train you for the global market—we equip you to shape it by bringing Africa’s voice into the foundational layers of artificial intelligence.
Direct Pipeline to Employment
This is not an open-ended training course; it’s a dedicated talent pipeline with employment as its core goal. Our business model is simple: we succeed when you succeed. Top performers are fast-tracked into roles with DataLens Africa, working directly on projects for our global clients.
For all certified graduates, we provide exclusive access to our partner network through the DataLens Africa Talent Network, where your profile is actively matched and recommended to hiring managers. We close the gap between learning and earning.
Step into the world of AI data and gain industry-ready expertise.
Beginner Level Course
Essentials of Data Labelling
& Annotation for AI Development
Course Goal
Equip learners with practical skills to annotate images, text, audio, video, and geospatial data using industry-standard tools while understanding how annotated data powers AI/ML models.
Target Audience
New data annotators, fresh graduates, or professionals pivoting into AI data labeling roles.
Prerequisites
There are no prerequisites for this course.
Learning Outcomes
- ✓ Perform image, text, audio, video, and geospatial annotation using standard tools.
- ✓ Apply annotation guidelines and quality principles to produce accurate datasets.
- ✓ Identify and reduce annotation errors, inconsistencies, and biases.
- ✓ Complete a real-world multimodal annotation project professionally.
This certification equips you with the skills to work as a Data Annotator for global AI companies, where typical earnings range from $5 to $15 per hour depending on project type, experience level, and performance.
Intermediate Level Course
Human-in-the-Loop (HITL) QA &
Data Quality Management
Course Goal
Train learners to become quality reviewers, validators, and HITL operations specialists, ensuring accuracy, consistency, and reliability of AI training datasets.
Target Audience
Experienced annotators, team leads, QA specialists, and aspiring Annotation Platform Administrators.
Prerequisites
The completion of Course 1: Essentials of Data Labelling & Annotation for AI Development is required.
Learning Outcomes
- ✓ Build and manage HITL quality assurance workflows.
- ✓ Evaluate dataset quality using metrics and error analysis.
- ✓ Lead and monitor annotator teams for productivity and accuracy.
- ✓ Produce QA reports and dashboards for data quality improvement.
This certification prepares you for roles as a QA / Quality Assurance Reviewer, ensuring the accuracy and consistency of annotated data for global AI companies. Typical earnings range from $8 to $20 per hour, depending on project complexity, experience level, and performance.
Advanced Level Course
LLM Fine-Tuning, Prompt
Engineering & Model Evaluation
Course Goal
Train learners to prepare data, fine-tune LLMs, design effective prompts, evaluate model performance, and apply safety frameworks—optimized for African contexts.
Target Audience
Senior data professionals, ML Engineers, project managers, and lead QA trainers.
Prerequisites
This course requires basic understanding of Python programming language and machine learning concepts. Also, the completion of Course 1 & 2 is recommended but not mandatory.
Learning Outcomes
- ✓ Prepare and structure datasets for LLM fine-tuning.
- ✓ Design effective prompts for different NLP tasks.
- ✓ Fine-tune and deploy open-source LLMs using modern techniques.
- ✓ Evaluate LLM performance, safety, and RAG-based workflows.
This certification qualifies you to work as an LLM Evaluation Specialist, where you assess model outputs, test prompts, and measure AI performance for leading AI organizations. Earnings typically range from $12 to $30 per hour, based on task difficulty, domain expertise, and project requirements.
Frequently Asked Questions
This section addresses common questions for both Academy students and job applicants looking to join the DataLens Africa AI Talent Program. Please chat to our team at academy@datalens.africa or call us on +234-916-000-3266
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Joining the program is easy. Simply visit our Academy Portal, select the course you wish to enroll in, and follow the registration instructions. Once registered, you can start learning immediately.
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The courses are self-paced and the duration varies by course level. Beginner courses typically take 4-6 weeks, intermediate courses 6-8 weeks, and advanced courses 8-12 weeks to complete, depending on your pace.
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Yes. There is a certificate of completion awarded for each course you successfully finish. Additionally, top performers may receive special recognition and opportunities for employment through our talent network.
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Yes. We offer flexible work that fits your schedule, allowing you to work from anywhere in our supported regions. No need to clock in or out—just deliver quality work on time and get paid.
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The pay varies based on the project type, complexity of assigned tasks, and your experience level. Also, you are paid per task or per hour depending on the project structure.
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We work on a variety of AI data projects including image and video annotation, text labeling, audio transcription, LLM evaluation, and more. Projects span multiple industries such as healthcare, finance, agriculture, and autonomous vehicles.