3,095 Data Entry Clerks jobs in Kenya
Data Entry Clerk
Posted 21 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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Graduate Research Assistant - AI & Machine Learning
Posted 4 days ago
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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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Graduate Research Assistant - AI & Machine Learning, Remote
Posted 16 days ago
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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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Remote Sports Analytics Coordinator
Posted 14 days ago
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Job Description
Our client is seeking a highly analytical and sports-passionate Remote Sports Analytics Coordinator to join their innovative team. This is a fully remote position, offering the flexibility to work from your preferred location while contributing to cutting-edge sports performance analysis. The ideal candidate will have a strong foundation in data analysis, statistical modeling, and a keen understanding of sports performance metrics. You will be responsible for collecting, cleaning, and analyzing vast amounts of sports data, generating insights to inform coaching strategies, player development, and game planning. This role requires proficiency in data analysis tools (e.g., SQL, Python, R) and visualization software. You will work closely with coaches and management, translating complex data into actionable recommendations. The ability to communicate findings effectively, both verbally and visually, is crucial. We are looking for a self-motivated individual who can manage their workload independently, collaborate effectively with a remote team, and contribute to the strategic advancement of sports performance through data-driven insights. A passion for sports and a commitment to accuracy and detail are paramount.
Responsibilities:
Responsibilities:
- Collect, organize, and manage sports performance data from various sources.
- Clean and preprocess data to ensure accuracy and integrity for analysis.
- Perform statistical analysis and build predictive models to identify trends and patterns in sports performance.
- Develop reports and visualizations that clearly communicate key insights to coaches and management.
- Collaborate with coaching staff to understand their analytical needs and provide data-driven recommendations.
- Monitor player performance metrics and identify areas for improvement.
- Assist in the development of scouting reports and opponent analysis.
- Stay up-to-date with the latest advancements in sports analytics and data science.
- Maintain a comprehensive database of sports statistics and player profiles.
- Contribute to the strategic development of data-driven decision-making processes.
- Bachelor's degree in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
- Proven experience in data analysis, statistical modeling, and data visualization.
- Proficiency in data analysis programming languages such as Python or R.
- Experience with SQL for database management.
- Familiarity with sports performance tracking systems and metrics.
- Strong understanding of sports rules and strategies across various disciplines.
- Excellent analytical and problem-solving skills.
- Effective communication skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently and manage multiple projects in a remote setting.
- A genuine passion for sports and data.
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Graduate Research Assistant (AI & ML)
Posted 18 days ago
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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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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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Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 7 days ago
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Job Description
Our client, a groundbreaking leader in AI and Emerging Technologies, is actively seeking a Principal AI Research Scientist to join their elite, fully remote team. This role is at the cutting edge of artificial intelligence, focusing on advanced deep learning techniques for computer vision applications. You will spearhead innovative research, develop novel algorithms, and publish impactful findings that push the boundaries of the field. The ideal candidate will have a Ph.D. in a relevant discipline, a strong publication record in top-tier AI conferences, and extensive hands-on experience with deep learning frameworks. This is an exceptional opportunity for a leading researcher to drive transformative AI advancements from anywhere.
Responsibilities:
Responsibilities:
- Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
- Design and execute rigorous experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate research prototypes into product development.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Lead research initiatives and define research roadmaps in specific areas of computer vision.
- Explore new application domains for computer vision technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
- A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python and experience with scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong communication and presentation skills.
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Principal AI Research Scientist - Machine Learning & Computer Vision
Posted 21 days ago
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Job Description
Our client is seeking a brilliant and visionary Principal AI Research Scientist specializing in Machine Learning and Computer Vision for a fully remote role. You will lead groundbreaking research initiatives aimed at developing novel AI algorithms and solutions that address complex real-world problems. This position requires a Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record in top-tier conferences and journals. Your responsibilities will include conceptualizing and executing research projects, developing and implementing cutting-edge ML models (deep learning, reinforcement learning, etc.), and driving innovation in areas such as object detection, image segmentation, and predictive modeling. You will collaborate with cross-functional teams of engineers and product managers to translate research breakthroughs into practical applications. A deep understanding of Python, TensorFlow, PyTorch, and other relevant ML frameworks is essential. The ideal candidate will possess exceptional analytical and problem-solving skills, a passion for scientific discovery, and the ability to mentor junior researchers and engineers. Experience with large-scale data processing and distributed computing environments is highly beneficial. This remote role demands strong communication skills for presenting complex research findings and fostering collaboration within a global, distributed team. You will be at the forefront of AI innovation, shaping the future of our client's technology landscape and contributing to significant advancements in artificial intelligence. This is an unparalleled opportunity to conduct high-impact research with the flexibility of remote work.
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Senior AI Research Scientist - Deep Learning & Computer Vision
Posted 7 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior AI Research Scientist specializing in Deep Learning and Computer Vision to join their pioneering team. This is a fully remote, impactful role where you will be at the forefront of developing next-generation AI solutions. You will be responsible for conceptualizing, designing, and implementing cutting-edge machine learning models and algorithms, with a particular focus on image recognition, object detection, and video analysis. Your work will directly contribute to innovative projects that push the boundaries of artificial intelligence. This position requires a deep understanding of mathematical principles, statistical modeling, and advanced programming techniques. You will collaborate closely with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead research initiatives in deep learning, computer vision, and related AI fields.
- Develop and implement novel algorithms for image and video understanding, including segmentation, classification, and tracking.
- Design and train complex neural network architectures (CNNs, RNNs, Transformers, etc.) using frameworks like TensorFlow, PyTorch, or JAX.
- Evaluate and optimize model performance, ensuring robustness and scalability for real-world deployment.
- Stay abreast of the latest advancements in AI research and identify opportunities for innovation.
- Collaborate with engineering teams to integrate AI models into production systems.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and contribute to a collaborative research environment.
- Work remotely, leveraging communication and collaboration tools to maintain high levels of productivity and team synergy. The opportunity to work from your preferred location within Bungoma, Bungoma, KE is provided with this role.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development, with a strong publication record in computer vision and deep learning.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Solid understanding of linear algebra, calculus, probability, and statistics.
- Experience with cloud platforms (AWS, GCP, Azure) and distributed training is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
- Demonstrated ability to work independently and as part of a remote team.
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Senior AI Research Scientist - Machine Learning & Deep Learning
Posted 20 days ago
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Job Description
Our client is seeking a brilliant and innovative Senior AI Research Scientist to join their cutting-edge research team. This is a fully remote position, offering an unparalleled opportunity to contribute to groundbreaking advancements in artificial intelligence, machine learning, and deep learning. The ideal candidate will possess a strong theoretical foundation and extensive practical experience in developing and implementing advanced AI models. You will be responsible for conceptualizing, designing, and executing research projects, with a focus on areas such as natural language processing, computer vision, reinforcement learning, or predictive analytics. Your role will involve staying at the forefront of AI research, publishing findings in top-tier conferences and journals, and collaborating with a global team of researchers and engineers. Key responsibilities include developing novel algorithms, building scalable AI systems, conducting rigorous experimentation, and translating research outcomes into practical applications. You will be expected to mentor junior researchers, contribute to the intellectual property portfolio, and actively participate in shaping the future direction of AI development within the organization. This role requires exceptional analytical skills, a deep understanding of mathematical principles underpinning AI, and proficiency in programming languages such as Python, R, and relevant AI frameworks (TensorFlow, PyTorch). The ability to communicate complex technical concepts clearly and concisely to both technical and non-technical audiences is essential. As a remote-first role, strong self-motivation, excellent time management, and proactive collaboration skills are paramount.
Key Responsibilities:
Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence, machine learning, and deep learning.
- Design, develop, and implement novel AI algorithms and models.
- Stay current with the latest advancements and publications in AI research.
- Collaborate with engineers to deploy AI models into production systems.
- Analyze large datasets to extract insights and inform model development.
- Conduct rigorous experimentation and validation of AI solutions.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and contribute to team knowledge sharing.
- Contribute to patent applications and intellectual property development.
- Present research findings to technical and non-technical stakeholders.
- Identify and explore new research opportunities and potential applications of AI.
- Drive innovation and contribute to the strategic direction of AI research.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in AI, ML, or DL, with a strong publication record.
- Deep understanding of machine learning theory, deep learning architectures, and statistical modeling.
- Proficiency in Python, R, and AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large-scale data processing and distributed computing frameworks.
- Proven ability to design and conduct complex experiments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a remote team environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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