597 Data Entry jobs in Nairobi

We are seeking a detail-oriented and highly organized
Data Entry Specialist
to join our team. The ideal candidate will be responsible for accurately inputting, updating, and maintaining information in our databases and systems. This position requires excellent typing skills, attention to detail, and the ability to handle confidential information with integrity.

• Accurately input, update, and verify data in various databases and information systems.
• Review data for errors or discrepancies and correct them as necessary.
• Organize and maintain digital files and records.
• Perform data cleansing and validation tasks to ensure data accuracy and completeness.
• Generate reports based on entered data as required.
• Adhere to strict data privacy and confidentiality guidelines.
• Communicate with team members or supervisors regarding data entry issues or updates.
• Manage multiple data entry projects simultaneously, meeting established deadlines.
• Utilize data entry software and tools efficiently.
• Proactively identify areas for process improvement in data management.

• High school diploma or equivalent; further education in a relevant field is a plus.
• Proven experience in data entry or a similar administrative role.
• Exceptional typing speed and accuracy.
• Strong understanding of data management principles and best practices.
• Proficiency in Microsoft Office Suite, particularly Excel, and database software.
• Excellent attention to detail and commitment to accuracy.
• Ability to work independently with minimal supervision in a remote setting.
• Good organizational and time management skills.
• Effective written and verbal communication skills.
• Reliable internet connection and a dedicated workspace.

• Assist in collecting, cleaning, and transforming large datasets.
• Perform exploratory data analysis to identify trends and patterns.
• Support the development of reports, dashboards, and visualizations.
• Learn and apply various data analysis techniques and statistical methods.
• Collaborate with senior analysts and data scientists on ongoing projects.
• Help document data processes and analytical methodologies.
• Contribute to the testing and validation of data models.
• Gain proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
• Participate in team meetings and contribute ideas for data-driven solutions.
• Present findings and insights to the team.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
• Strong understanding of statistical concepts and data analysis principles.
• Basic proficiency in at least one programming language (e.g., Python, R) and SQL.
• Excellent analytical and problem-solving skills.
• Meticulous attention to detail and accuracy.
• Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Ability to work independently and manage time effectively in a remote setting.
• Enthusiastic learner with a passion for data and technology.
• Previous internship or project experience in data analysis is a plus.

• Design and remotely manage agricultural research trials focused on crop performance, soil health, and sustainable practices.
• Analyze field data (e.g., yield, soil nutrient levels, weather patterns, pest incidence) using statistical software and agricultural platforms.
• Develop data-driven recommendations for crop fertilization, irrigation, pest management, and disease control strategies.
• Provide expert agronomic advice and technical support to farmers and agricultural stakeholders through virtual consultations.
• Stay abreast of the latest advancements in agronomy, agricultural technology (AgTech), and sustainable farming methods.
• Contribute to the development of new agricultural products, services, and best practices.
• Prepare technical reports, research summaries, and client-facing documentation.
• Collaborate with cross-functional teams, including R&D, data science, and product development, in a remote setting.
• Identify emerging agricultural challenges and propose innovative solutions.
• Promote best practices for crop health and yield maximization.

• Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a related field.
• Minimum of 6 years of experience in agronomy, crop management, or agricultural research.
• Proven experience in designing and analyzing agricultural field trials.
• Strong knowledge of soil science, plant physiology, entomology, and plant pathology.
• Proficiency in data analysis tools (e.g., R, SAS, SPSS) and agricultural software platforms.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional written and verbal communication skills, with the ability to present complex technical information clearly.
• Demonstrated ability to work independently, manage research projects, and deliver results in a remote environment.
• Passion for sustainable agriculture and innovation in the agricultural sector.
• Experience with remote sensing or precision agriculture technologies is a plus.

Position:
AI/ML Research Scientist

Employer:
tma

Location:
Offices in Sandton, Durban, Cape Town, or Kenya

Work Type:
100% Work-from-the-Office

Shift:
1 AM – 4 PM

About the Role

We are seeking a passionate and driven
AI/ML Research Scientist
to join our R&D team at a fast-growing, innovation-first deep-tech company. This role is ideal for individuals who thrive in research-driven environments, have a solid foundation in machine learning and artificial intelligence, and are eager to push the boundaries of what's possible with intelligent systems.

As an AI/ML Research Scientist, you'll work on ambitious challenges in machine learning, publish your findings in top-tier venues, and collaborate with a global network of leading academic and industry researchers. Your work will directly shape the future of advanced intelligent technologies across a wide range of real-world applications.

Key Responsibilities

• Conduct original, high-impact research in AI/ML
• Design and develop novel algorithms, models, and methodologies
• Publish in top-tier conferences/journals (NeurIPS, ICML, CVPR, AAAI, etc.)
• Collaborate with engineering & product teams to prototype research ideas
• Engage with the global research community
• Mentor junior researchers, data scientists, and engineers
• Present findings at conferences, symposiums, and workshops
• Stay current with emerging AI/ML trends

Required Qualifications

• 3+ years' hands-on research experience (industry, academic, or postdoctoral)
• Track record of publications in leading AI/ML venues
• Proficiency in
  Python, C++, Julia
  or similar, plus
  PyTorch, TensorFlow, JAX
• Deep theoretical understanding of ML, statistics, and optimisation
• Strong analytical, creative, and problem-solving skills

Preferred Qualifications

• PhD in Computer Science, AI/ML, Applied Mathematics, or related field
• Postdoctoral or advanced academic research experience
• Experience leading or mentoring research teams
• Industry research lab or AI-focused start-up background
• Deep expertise in:
• • Reinforcement Learning
• • Generative Models (GANs, VAEs, Diffusion)
• • Large Language Models & Transformers
• • Computer Vision
• • Probabilistic Modelling & Bayesian Inference
• • Causal Inference & Decision Systems

What We Offer

• Access to cutting-edge compute infrastructure
• Flexibility to explore high-impact research directions
• Opportunities to publish, present, and attend top AI/ML conferences
• A diverse, mission-driven team working on transformative tech

• Design, implement, and train deep learning models for various computer vision tasks, including object detection, image segmentation, facial recognition, and image generation.
• Develop and optimize algorithms for real-time image and video analysis.
• Conduct rigorous experimentation and evaluation of models, using appropriate metrics and statistical methods.
• Collaborate with cross-functional teams to integrate computer vision capabilities into new and existing products and services.
• Stay current with the latest research and advancements in computer vision and deep learning, and apply them to solve practical problems.
• Develop and maintain efficient data pipelines for training and inference.
• Optimize model performance for deployment on various platforms, including cloud and edge devices.
• Contribute to the overall AI/ML strategy and roadmap of the company.
• Mentor junior engineers and share knowledge within the team.
• Document research findings, algorithms, and implementation details thoroughly.

• Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field with a specialization in Computer Vision or Machine Learning.
• Minimum of 7 years of hands-on experience in developing and deploying computer vision models using deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python and C++.
• Strong understanding of core computer vision algorithms and techniques.
• Experience with large-scale datasets and distributed training environments.
• Solid grasp of image processing, feature extraction, and machine learning principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and collaboratively in a fast-paced, fully remote environment.
• Strong communication and presentation skills to articulate technical concepts effectively.
• Experience with cloud platforms (AWS, GCP, Azure) for ML model training and deployment is a plus.
• Publications in top-tier computer vision or machine learning conferences (e.g., CVPR, ICCV, NeurIPS) are highly valued.