Jobs in Mauritius
Software Engineer Annotator (Maurice)
Job Title: Software Engineer Annotator (remote) Location: Remote (world-wide) Job Summary: We are seeking an experienced Software Engineer Annotator responsible for evaluating, labeling, and improving software engineering datasets used for Artificial Intelligence and Large Language Model (LLM) training. The ideal candidate will apply strong programming knowledge to review AI-generated code, validate outputs, and ensure high-quality technical annotations aligned with engineering best practices. Job Responsibilities • Annotate and review software engineering datasets for AI training. • AI-generated code for correctness, efficiency, readability, and security. • Label datasets including code completion, debugging, refactoring, and optimization tasks. • Provide structured feedback to improve model performance. • Ensure adherence to annotation guidelines and quality standards. • Collaborate with AI trainers, reviewers, and data teams. Job Requirements • Bachelor’s degree in computer science, software Engineering, or information Technology • Minimum of 3- 5 years’ experience as a Software Engineer. • Prior experience in data annotation, AI training, and coding review. • Strong programming background in Python, Java, JavaScript, or C++, or Go. • Solid understanding of software engineering principles, data structures, and algorithms. • Ability to annotate, label, and evaluate code datasets accurately. • Familiarity with software development lifecycle (SDLC) and coding best practices. • Understanding of APIs, backend systems, and web technologies. • Basic knowledge of Artificial intelligence, machine learning, or Large Language Models (LLM) is an advantage. • Capability to compare multiple AI-generated responses and rank them based on accuracy and usefulness. • Familiarity with annotation platforms or labeling tools.
Data Set Curator (Maurice)
Dataset Curator Job Summary: We are seeking for a Dataset Curator who is responsible for designing, maintaining, and optimizing high-quality datasets for AI, Machine Learning (ML), and Large Language Model (LLM) projects. The Dataset Curator works closely with data scientists, AI trainers, and engineers to gather, clean, validate, and annotate datasets across multiple domains, ensuring the data supports robust AI model training and evaluation. The dataset curator must understand dataset diversity, bias detection, quality assessment, and metadata management. This role is critical to improving AI performance, dataset reliability, and data-driven decision-making. Key Responsibilities • Curate, collect, and structure datasets for AI and ML training purposes. • Validate dataset accuracy, completeness, and consistency. • Annotate and label datasets according to project-specific guidelines. • Identify and correct data inconsistencies, duplicates, and anomalies. • Maintain metadata and documentation for datasets. • Collaborate with AI trainers and data engineers to define dataset requirements. • Ensure datasets are ethically sourced and free from biases. • Continuously monitor dataset quality and propose improvements. Job Requirements Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Information Systems or related field. Proficiency in Excel, Google Sheets, SQL, and/or Python for dataset handling. Knowledge of data cleaning, normalization, and transformation techniques. Familiarity with data annotation tools and platforms. Understanding of structured, semi-structured, and unstructured datasets. Experience with database management and version control systems. Awareness of AI dataset ethics and bias mitigation. Required Certifications such as Google Data Analytics Certificate (advantage), Data Management or Curation Certification, AI/Data Annotation Training (optional but preferred) 3-5 years proven experience in dataset curation, data analysis, or data management roles. Experience handling large-scale datasets for AI, ML, or analytics projects.