DataLens Africa Logo

DataLens Africa

AI Data Curator / Data Engineer

Reposted 9 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in NG
Mid level
Remote
Hiring Remotely in NG
Mid level
Design, build, and maintain data collection, cleaning, transformation, validation, and storage pipelines. Collaborate with annotation, QA, and AI teams to prepare high-quality datasets for model training and automate dataset validation and curation workflows.
The summary above was generated by AI

🚀 Join DataLens Africa as an AI Data Curator / Data Engineer! 🚀
Are you passionate about building clean, reliable datasets for AI and machine learning models? Join us at DataLens Africa, where your data engineering skills will help power smarter, more inclusive AI systems for Africa and beyond.

📌 About DataLens Africa
We specialize in curating, annotating, and managing high-quality datasets that train AI systems across industries. Our team of engineers and data experts ensures that data is accurate, accessible, and impactful.

🎯 Your Role as AI Data Curator / Data Engineer

  • Design and maintain pipelines for data collection, cleaning, and transformation.

  • Work with annotation and QA teams to ensure dataset integrity.

  • Implement automation for dataset validation and storage.

  • Collaborate with AI engineers to prepare data for model training.

  • Contribute to improving data curation workflows and tools.

🛠 What We’re Looking For

  • Proficiency in Python, SQL, or related data processing languages.

  • Familiarity with Pandas, NumPy, or PySpark.

  • Experience with cloud data platforms (AWS, GCP, or Azure).

  • Understanding of data quality, ETL, and machine learning pipelines.

  • Strong analytical and problem-solving mindset.

🌟 Why Join DataLens Africa?

  • Build systems that drive Africa’s AI innovation.

  • Work with modern data engineering tools and technologies.

  • Collaborate with an expert, mission-driven team.

  • Enjoy flexibility, learning opportunities, and growth.

📍 Details
Location: Remote / Lagos, Nigeria
Employment Type: Full-Time
Compensation: Competitive, with growth potential

Similar Jobs

9 Days Ago
In-Office or Remote
Senior level
Senior level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Design, scope and deliver Ericsson cloud solutions (CNIS, NFVI, OMC). Analyze customer technology and requirements, plan and verify configuration, integration, migration, testing and acceptance. Provide customer workshops/presentations, support deployments and post-project activities, feedback to R&D, drive process improvements, and occasionally support pre-sales. Collaborate cross-functionally and travel up to 30%.
Top Skills: AWSAzureCnisDellDockerGCPHpKubernetesLenovoLinuxNfviOmcOpenstack
5 Hours Ago
Remote
Mid level
Mid level
Edtech • HR Tech • Information Technology • Professional Services
Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.
Top Skills: AWSDatabricksMachine LearningMlopsNumpyPandasPysparkPythonScikit-Learn
9 Hours Ago
Remote
Mid level
Mid level
Artificial Intelligence • Machine Learning • Natural Language Processing • Big Data Analytics
Lead multiple AI data labeling projects end-to-end, coordinate annotators, QA reviewers, and clients, monitor timelines and resources, ensure high-quality dataset delivery, and implement process improvements to increase operational efficiency.
Top Skills: Annotation ToolsAsanaNotionTrello

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account