Explore numerous data entry clerk positions that match your skills. Data entry roles involve updating and maintaining information on computer systems and databases. These positions require accuracy, attention to detail, and proficiency in typing and data processing software. Opportunities exist across various sectors, including healthcare, finance, and administration.What Jobs are available for Data Entry Clerk in Kenya?
Showing 3234 Data Entry Clerk jobs in Kenya
Data Entry Clerk
Posted 28 days ago
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Job Description
Our client is seeking a meticulous and efficient Data Entry Clerk to join their hybrid team. This role is crucial for maintaining the accuracy and integrity of various databases and records. The ideal candidate will possess exceptional attention to detail, a strong work ethic, and the ability to manage data input tasks accurately and promptly. You will be responsible for entering, verifying, and updating information across multiple systems, ensuring data consistency and completeness. This position offers a blend of remote work flexibility and in-office collaboration to foster teamwork and knowledge sharing.
Key Responsibilities:
Key Responsibilities:
- Accurately enter and update data in various databases and software applications.
- Verify the accuracy of data by comparing it to source documents.
- Identify and correct any errors or inconsistencies in the data.
- Organize and maintain electronic and physical files.
- Generate reports from data as required.
- Perform regular data backups to ensure data integrity.
- Collaborate with team members to ensure data accuracy across departments.
- Maintain confidentiality of sensitive information.
- Follow established data entry procedures and guidelines.
- Assist with other administrative tasks as needed.
- High school diploma or equivalent.
- Proven experience in data entry or a similar role.
- Proficiency in data entry software and proficiency in MS Office Suite (Excel, Word).
- Excellent typing speed and accuracy.
- Strong attention to detail and organizational skills.
- Ability to work independently and meet deadlines.
- Good communication skills.
- Understanding of data confidentiality principles.
- Ability to adapt to different software systems.
- Prior experience with a hybrid work model is a plus.
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Junior AI/ML Research Assistant
Posted 3 days ago
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Job Description
Our client is actively recruiting for a passionate and driven Junior AI/ML Research Assistant to join their groundbreaking team. This is a fully remote internship opportunity, providing invaluable experience in the cutting-edge field of Artificial Intelligence and Machine Learning. As a Junior AI/ML Research Assistant, you will support senior researchers in developing and implementing advanced AI models. Your responsibilities will include data collection, cleaning, and preprocessing for various machine learning projects. You will assist in the experimentation and evaluation of algorithms, contributing to the refinement of existing models and the development of new ones. This role requires a strong understanding of fundamental AI/ML concepts, including supervised and unsupervised learning, deep learning, and natural language processing. You will work with programming languages such as Python and relevant libraries like TensorFlow, PyTorch, and scikit-learn. The ability to visualize and interpret data effectively is also essential. You will participate in research discussions, document experimental results, and contribute to the preparation of research papers and presentations. This internship is ideal for individuals who are currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field, and who possess a strong academic record. Excellent analytical and problem-solving skills, along with a meticulous attention to detail, are paramount. As this is a remote position, you must be self-motivated, highly organized, and capable of working independently with minimal supervision. Effective communication skills are necessary for collaborating with the research team through virtual channels. This is a fantastic chance to gain practical experience in a rapidly evolving technological landscape, contributing to innovative AI solutions from the convenience of your home. We are committed to fostering a supportive learning environment where you can grow your skills and make a tangible contribution.
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Graduate Research Assistant - AI & Machine Learning
Posted today
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Job Description
Our client is seeking a motivated and intellectually curious Graduate Research Assistant to contribute to cutting-edge research in Artificial Intelligence and Machine Learning. This is a fully remote internship, offering a unique opportunity to work alongside leading researchers and gain hands-on experience in a dynamic field. You will be involved in various research activities, including data collection, experimental design, model development, and performance analysis. The ideal candidate will have a strong academic background in Computer Science, Data Science, Mathematics, or a related quantitative field, with a keen interest in AI/ML concepts. Proficiency in programming languages such as Python, along with experience in ML libraries like TensorFlow or PyTorch, is essential. This remote role requires excellent analytical skills, strong problem-solving abilities, and the capacity for independent learning and self-directed work. You will collaborate with a global research team, contribute to research papers, and present findings in virtual meetings. Key responsibilities include assisting in literature reviews, implementing algorithms, running simulations, analyzing results, and documenting research progress. The ability to critically evaluate research methodologies and contribute innovative ideas is highly valued. Join our client's research initiative and gain invaluable experience in the rapidly evolving world of AI and Machine Learning, all within a flexible remote setting.
Responsibilities:
Responsibilities:
- Assist in designing and conducting experiments related to AI and Machine Learning.
- Collect, clean, and preprocess large datasets for research purposes.
- Implement and test machine learning algorithms using programming languages like Python.
- Utilize ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Analyze experimental results and interpret data to draw meaningful conclusions.
- Contribute to the development of research papers and technical reports.
- Present research findings in virtual team meetings and seminars.
- Collaborate with senior researchers on ongoing projects.
- Stay updated on the latest advancements and research in AI/ML.
- Document research methodologies, code, and findings thoroughly.
- Currently pursuing or recently completed a Master's or PhD degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.
- Strong academic record with coursework in AI, Machine Learning, statistics, and algorithms.
- Proficiency in Python programming.
- Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Excellent analytical and problem-solving skills.
- Ability to work independently and manage research tasks remotely.
- Strong written and verbal communication skills for research documentation and team collaboration.
- Demonstrated interest in AI and Machine Learning research.
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2
Graduate Research Assistant - AI & Machine Learning, Remote
Posted today
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Job Description
Our client, a leading research institution at the forefront of technological innovation, is actively seeking ambitious Graduate Research Assistants to join their esteemed, entirely remote research team focused on Artificial Intelligence and Machine Learning. This internship provides an unparalleled opportunity for intellectually curious individuals to contribute to cutting-edge research projects, gain hands-on experience with advanced algorithms, and collaborate with world-class researchers. You will play a crucial role in data collection, model development, experimentation, and analysis, working from your dedicated remote workspace.
Responsibilities:
Responsibilities:
- Assist senior researchers in conducting experiments and developing AI/ML models.
- Collect, clean, and preprocess large datasets for training and evaluation purposes.
- Implement and test machine learning algorithms using programming languages such as Python.
- Analyze experimental results and contribute to the interpretation of findings.
- Document research methodologies, code, and findings thoroughly.
- Collaborate with team members through virtual meetings and shared documentation platforms.
- Contribute to the writing of research papers and presentations.
- Stay updated on the latest advancements in AI, machine learning, and related fields.
- Assist in the preparation of research proposals and grant applications.
- Troubleshoot technical issues encountered during research activities.
- Learn and apply new research techniques and tools as required.
- Currently pursuing a Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field.
- Strong foundational knowledge of AI, machine learning concepts, algorithms, and statistical modeling.
- Proficiency in programming languages commonly used in AI/ML, such as Python (with libraries like TensorFlow, PyTorch, scikit-learn).
- Familiarity with data manipulation and analysis tools.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for research and a passion for contributing to AI advancements.
- Previous research experience or relevant project work is a significant advantage.
- Access to a reliable internet connection and a suitable remote working environment.
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Graduate Research Assistant (AI & ML)
Posted today
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Job Description
Our client is offering an exciting opportunity for ambitious recent graduates to join their cutting-edge research team as Graduate Research Assistants specializing in Artificial Intelligence and Machine Learning. This role is fully remote, allowing you to contribute to groundbreaking projects from anywhere in Kenya, with a focus on contributing to advancements relevant to the **Nakuru, Nakuru, KE** region's technological landscape. You will work closely with senior researchers and engineers on developing and implementing novel AI and ML algorithms, models, and systems. This internship is designed to provide hands-on experience in a fast-paced, innovative environment. Your responsibilities will include data collection, preprocessing, feature engineering, model training, validation, and performance analysis. You will contribute to research papers, assist in the development of prototypes, and present your findings to the team. The ideal candidate will have a strong academic background in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field, with a demonstrable passion for AI/ML. Proficiency in programming languages such as Python, R, or Java, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) are essential. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. This role demands excellent analytical and problem-solving skills, a keen attention to detail, and the ability to work independently and collaboratively within a remote team. You will be expected to stay current with the latest research and developments in AI and ML. This internship offers a unique chance to gain practical experience, build your professional network, and contribute meaningfully to the field of artificial intelligence. A bachelor's degree with honors in a relevant discipline is required, and current enrollment or recent completion of a master's or PhD program is highly advantageous. We are looking for individuals who are eager to learn, innovative, and possess strong communication skills. This is a remote-first position, emphasizing effective virtual collaboration and communication. This is an excellent stepping stone for a career in AI research and development.
Key Responsibilities:
Key Responsibilities:
- Assist in the design, development, and implementation of AI and ML models.
- Conduct literature reviews and stay updated on the latest research in AI/ML.
- Collect, clean, and preprocess large datasets for model training.
- Perform data analysis and interpret results to identify insights.
- Train, evaluate, and fine-tune machine learning models.
- Collaborate with senior researchers on research projects and publications.
- Develop and maintain code for AI/ML applications.
- Assist in the creation of research proposals and technical reports.
- Present research findings and project progress to the team.
- Contribute to the development of AI-powered solutions and prototypes.
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Strong academic record in AI/ML coursework.
- Proficiency in Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Understanding of fundamental ML algorithms and statistical concepts.
- Excellent analytical and problem-solving abilities.
- Strong written and verbal communication skills.
- Ability to work independently and as part of a remote research team.
- Enthusiasm for AI and a desire to learn and grow in the field.
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4
Remote Geological Surveyor Assistant (AI/ML Focus)
Posted today
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Job Description
Our client is seeking a highly motivated and detail-oriented Remote Geological Surveyor Assistant with a focus on AI and Machine Learning applications. This is a fully remote position, allowing you to contribute your skills from anywhere in Kenya, though proximity to **Embu, Embu, KE** is advantageous for potential future site visits. In this role, you will support our geological surveying team by leveraging advanced data analysis techniques and AI/ML models to interpret geological data. Your responsibilities will include assisting in the processing and visualization of large datasets from seismic surveys, borehole logs, and satellite imagery. You will contribute to the development and refinement of machine learning algorithms designed for mineral identification, resource estimation, and hazard assessment. This role requires a strong understanding of geological principles combined with a solid foundation in data science and programming. You will work with geological software and platforms, alongside AI/ML tools and libraries (e.g., Python, TensorFlow, PyTorch). The ideal candidate possesses excellent analytical and problem-solving skills, is adept at data manipulation, and has a passion for applying cutting-edge technology to geological challenges. You should be comfortable working independently, managing multiple tasks, and collaborating effectively with a remote team through digital communication channels. Experience with data cleaning, feature engineering, and model validation is highly desirable. This is a unique opportunity to bridge the gap between geology and artificial intelligence, contributing to innovative exploration and resource management strategies. Our client is committed to fostering a culture of innovation and provides access to the latest technologies and professional development resources. You will be instrumental in enhancing the efficiency and accuracy of our geological assessments, playing a key role in discovering and managing valuable mineral resources. This position offers a dynamic and intellectually stimulating work environment, pushing the boundaries of geological surveying through technological advancements.
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5
Junior AI Research Assistant
Posted today
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Job Description
Our client is seeking a highly motivated and intellectually curious Junior AI Research Assistant to join their groundbreaking, fully remote research team. This internship offers an exceptional opportunity for aspiring AI professionals to gain hands-on experience in cutting-edge artificial intelligence research. You will work closely with senior researchers on various projects, contributing to data collection, preprocessing, model training, and experimental analysis. The role requires a strong foundation in mathematics, computer science, and a keen interest in machine learning and deep learning. As this is a fully remote position, you will need to be self-disciplined, proactive, and possess excellent communication skills to collaborate effectively with a distributed team using digital platforms. This internship is designed to provide valuable experience and mentorship in a dynamic and rapidly evolving field.
Responsibilities:
Responsibilities:
- Assist senior researchers in designing and conducting AI experiments.
- Collect, clean, and preprocess large datasets for training machine learning models.
- Implement and test machine learning algorithms and deep learning models under supervision.
- Analyze experimental results and contribute to research papers and reports.
- Stay up-to-date with the latest advancements in AI and machine learning research.
- Develop scripts and tools for data analysis and model evaluation.
- Collaborate with team members through virtual communication channels.
- Document research processes, methodologies, and findings clearly and concisely.
- Perform literature reviews to identify relevant research papers and trends.
- Assist in the preparation of presentations and technical documentation.
- Troubleshoot issues encountered during model training and experimentation.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related quantitative field.
- Strong understanding of fundamental machine learning concepts and algorithms (e.g., regression, classification, clustering).
- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages commonly used in AI research, such as Python.
- Solid mathematical background, including linear algebra, calculus, and probability.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills, with the ability to articulate technical concepts.
- Ability to work independently, manage time effectively, and be highly organized in a remote setting.
- Eagerness to learn and a passion for AI and machine learning.
- Previous experience with data analysis or programming projects is a plus.
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Graduate AI Research Assistant
Posted today
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Job Description
Our client is excited to offer a unique opportunity for ambitious graduates to join their innovative, fully remote team as Graduate AI Research Assistants. This internship program is designed to provide hands-on experience in the rapidly evolving field of Artificial Intelligence. You will work alongside leading researchers and engineers, contributing to groundbreaking projects in areas such as machine learning, natural language processing, computer vision, and robotics. This is an exceptional chance to apply your academic knowledge in a practical, cutting-edge environment and gain invaluable industry insights.
As a Graduate AI Research Assistant, you will support research teams in data collection, preprocessing, and analysis. You will assist in the development and testing of AI models, algorithms, and prototypes. Tasks may include literature reviews, experimenting with different AI techniques, and documenting research findings. Strong programming skills in languages commonly used in AI, such as Python, are essential. Familiarity with AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is highly desirable. You will be expected to learn quickly, adapt to new technologies, and contribute proactively to team objectives.
The ideal candidate is a recent graduate with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field. You must possess a strong academic record, a passion for AI, and excellent analytical and problem-solving skills. While previous professional experience is not required, a demonstrated interest in AI through personal projects or academic research is a significant advantage. Excellent communication skills, both written and verbal, are necessary for collaborating effectively within a remote team and presenting findings. This internship offers a unique pathway into a career in AI research and development. Apply now to kickstart your journey in AI.
As a Graduate AI Research Assistant, you will support research teams in data collection, preprocessing, and analysis. You will assist in the development and testing of AI models, algorithms, and prototypes. Tasks may include literature reviews, experimenting with different AI techniques, and documenting research findings. Strong programming skills in languages commonly used in AI, such as Python, are essential. Familiarity with AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is highly desirable. You will be expected to learn quickly, adapt to new technologies, and contribute proactively to team objectives.
The ideal candidate is a recent graduate with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field. You must possess a strong academic record, a passion for AI, and excellent analytical and problem-solving skills. While previous professional experience is not required, a demonstrated interest in AI through personal projects or academic research is a significant advantage. Excellent communication skills, both written and verbal, are necessary for collaborating effectively within a remote team and presenting findings. This internship offers a unique pathway into a career in AI research and development. Apply now to kickstart your journey in AI.
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7
Graduate Research Assistant - Machine Learning
Posted today
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Job Description
Our client is actively seeking a bright and enthusiastic Graduate Research Assistant to join their cutting-edge research division, focusing on the application of Machine Learning in scientific analysis. This is a fully remote, internship position, offering invaluable experience to individuals passionate about data science and its real-world applications.
Responsibilities:
Responsibilities:
- Assist senior researchers in data collection, cleaning, and pre-processing for machine learning models.
- Implement and test various machine learning algorithms under the guidance of mentors.
- Perform exploratory data analysis to identify patterns and insights.
- Help in the development and visualization of model performance metrics.
- Document research procedures, findings, and code meticulously.
- Contribute to the preparation of research reports and presentations.
- Stay updated on current trends and techniques in machine learning and artificial intelligence.
- Collaborate with team members on assigned research projects through virtual communication tools.
- Learn and apply best practices in data science and programming.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- Foundational understanding of machine learning concepts and algorithms.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Basic knowledge of data visualization tools.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication abilities.
- Ability to work independently and manage time effectively in a remote setting.
- A keen interest in learning and contributing to scientific research.
- Experience with version control systems like Git is a plus.
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