Responsibilities:
Annotation & Labeling: Apply accurate tags, bounding boxes, or classifications to text, image, audio, or video data according to project guidelines.
Pipeline Automation: Develop and maintain Python scripts/APIs for data ingestion, pre-processing, and integration into machine learning pipelines.
Quality Assurance (QA): Build automated tools for QA sampling, label consistency checks, and identifying data set anomalies.
Guideline Refinement: Collaborate directly with ML Engineers and Data Scientists to clarify ambiguities in data and update annotation ontologies.
Evaluation: Review AI-generated outputs for accuracy, bias, and performance metrics, creating clear experiment tracking logs.
Contribute to CI/CD pipelines and cloud infrastructure (AWS/GFCP/Azure).
Requirements :
3+ years of professional Python development experience.
Proficiency in Python (e.g., pandas, NumPy, scikit-learn, or standard APIs).
Foundational understanding of machine learning workflows, NLP, computer vision, or LLM fine-tuning.
Strong problem-solving ability, exceptional attention to detail, and the ability to apply multi-page annotation rules consistently.
Ability to collaborate with technical teams and provide constructive feedback on dataset quality.
Preferred Requirements :
Degree in Computer Science, Data Science, or a related quantitative field.
Familiarity with annotation tools (e.g., CVAT, LabelImg, Prodigy).
Experience with data privacy and governance (e.g., GDPR, HIPAA).
Renumeration : NGN500,000

Company in Nigeria.